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8/12/2019 Learning the value of information in an uncertain world
1/45
A R T I C L E S
VOLUME 10 [ NUM BER 9 [ SEPTEMBER 2007
NATUR ENE UROSCIENCE11
8/12/2019 Learning the value of information in an uncertain world
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A R T I C L E S
VOLUME 10 [ NUMBER 9 [ SEPTEMBER 2007
22NATU RE NEUROSCIENCE
8/12/2019 Learning the value of information in an uncertain world
3/45
A R T I C L E S
Learning the va!e "# in#"r$ati"n in an !n%ertain &"r'
Ti$"th( E ) Behren*1+2
+ Mar, - -""ri%h1+ Mar, E -at"n
2. Matthe& / S R!*h&"rth
1+2
O!r 'e%i*i"n* are g!i'e' ( "!t%"$e* that are a**"%iate' &ith 'e%i*i"n* $a'e in the a*t 3"&ever+ the a$"!nt "# in#!en%e
ea%h a*t "!t%"$e ha* "n "!r ne4t 'e%i*i"n re$ain* !n%ear T" en*!re "ti$a 'e%i*i"n5$a,ing+ the &eight given t" 'e%i*i"n
"!t%"$e* *h"!' re#e%t their *aien%e in re'i%ting #!t!re "!t%"$e*+ an' thi* *aien%e *h"!' e $"'!ate'( the v"atiit( "#
the re&ar' envir"n$ent -e *h"& that h!$an *!6e%t* a**e** v"atiit( in an "ti$a $anner an' a'6!*t 'e%i*i"n5$a,ing
a%%"r'ing( Thi* "ti$a e*ti$ate "# v"atiit( i* re#e%te' in the #MRI *igna in the anteri"r %ing!ate %"rte4 ACC8 &hen ea%h
tria "!t%"$e i* "*erve' -hen a ne& ie%e "# in#"r$ati"n i* &itne**e'+ a%tivit( eve* re#e%t it* *aien%e #"r re'i%ting #!t!re
"!t%"$e* /!rther$"re+ variati"n* in thi* ACC *igna a%r"** the "!ati"n re'i%t variati"n* in *!6e%t earning rate* O!r
re*!t* r"vi'e a #"r$a a%%"!nt "# h"& &e &eigh "!r 'i##erent e4erien%e* in g!i'ing "!r #!t!re a%ti"n*
The *tati*ti%* "# the envir"n$ent have een *h"&n t" e4ert "ti$ain#!en%e "n the "rganiati"n an' #!n%ti"n "# er%et!a an' $"t"r
*(*te$*1+2
3"&ever+ higher5eve r"%e**e*+ *!%h a* v"!ntar(
%h"i%e+ have "#ten r"ve' t" e i$$!ne t" *!%h *tati*ti%a
'e*%riti"n In*tea'+ re%ent 'e*%riti"n* "# %h"i%e have e$ha*ie'
it* !nre'i%tae nat!re: -e re"rt interin,e' #in'ing* that
%haenge thi* er*e%tive an' *!gge*t that an e*ti$ate "# a higher5
"r'er *tati*ti%a #eat!re "# the envir"n$ent a##e%t* the &a( that
v"!ntar( 'e%i*i"n* are $a'e
The 'e%i*i"n* that &e $a,e are g!i'e' ( the "!t%"$e* "#
*i$iar 'e%i*i"n* $a'e in the a*t;
8/12/2019 Learning the value of information in an uncertain world
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A R T I C L E S
1/MRIBCentre+ Univer*it( "# O4#"r'+ )"hn Ra'%i##e 3"*ita+ O4#"r' O: 9U+ U
2Aeart$ent "# E4eri$enta P*(%h""g(+ Univer*it( "# O4#"r'+ S"!th Par,*
R"a'+ O4#"r' O1 :U+ U C"rre*"n'en%e *h"!' e a''re**e' t" TE)B ehren *D#$ri"4a%!,8
Re%eive' 2: Ma( a%%ete' > )!ne !i*he' "nine > A!g!*t 2007E'"iF 1010:=Gnn19>;
VOLUME 10 [ NUMBER 9 [ SEPTEMBER 2007
;;NATU RE NEUROSCIENCE
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]://www.nature.com/doifinder/10.1038/nn1954http://www.nature.com/doifinder/10.1038/nn1954http://www.nature.com/doifinder/10.1038/nn1954http://www.nature.com/doifinder/10.1038/nn1954http://www.nature.com/doifinder/10.1038/nn1954http://www.nature.com/doifinder/10.1038/nn1954http://www.nature.com/doifinder/10.1038/nn1954http://www.nature.com/doifinder/10.1038/nn1954mailto:[email protected]://www.nature.com/doifinder/10.1038/nn19548/12/2019 Learning the value of information in an uncertain world
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a
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/ig!re 1 Pr"aiit(5tra%,ing ta*, a8 E4eri$enta r"%e'!re S!6e%t*
%arrie' "!t a "ne5ar$e' an'it ta*,+ %h""*ing et&een !e an' green "n
thea*i* "# "th the a*t *!%%e** an' the re&ar' a**"%iate' &ith ea%h %""r
(e"& n!$er*8 S!6e%t* atte$te' t" $"ve the re' ar t"&ar' the *iver
ar #"r '10 "r t"&ar' the g"' ar #"r '20 The ar $"ve* a 'i*tan%e
r""rti"na t" the %h"*en re&ar' "n( i# the %h"*en %""r &a* %"rre%t In
thi* in*tan%e+ the *!6e%t %h"*e green+ !t the %"rre%t %h"i%e &a* !e *"
the re'ar re$aine' *tati"nar( 8 Hrahi%a 'e*%riti"n "# the r"aiit(5
tra%,ingr"e$ Arr"&* in'i%ate the 'ire%ti"n "# in#!en%e At ea%h tria i+
'ata (i i*"*erve' !e "r green i* %"rre%t8+ &hi%h i* g"verne' ( r"aiit( r
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+ &hi%h %an
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an' i* g"verne' ( %"ntr" ara$eter , The g"a "# the Ba(e*ian earner i*
t" tra%, the*e ara$eter* thr"!gh the %"!r*e "# the e4eri$ent+ given "n(
the "*erve' 'ata+ (
*!6e%t* "#ten i%,e' the e** i,e( %""r i# it &a* a**"%iate' &ith
a higher re&ar'
/ir*t+ *!6e%t* !n'er&ent 120 tria* &here the r"aiit( "#a
!e "!t%"$e &a* 7>F a *tae envir"n$ent In the *e%"n' ha*e170 tria*8+ re&ar' r"aiitie* *&it%he' et&een =0 !e an'
=0 green ever( :0 "r ;0 tria*F a v"atie envir"n$ent
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#
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8
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een A hi*t"r( "# *!rri*ing "!t%"$e* &i in%rea*e e*ti$ate'
v"atiit( an' !n%ertaint(+ an' there#"re earning rate /ig!re 2a
8/12/2019 Learning the value of information in an uncertain world
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http://ww w .natur e .com/natureneu r oscience
2007 Nature Publishing Groupara$eter* r+ v an' , &hen it get* a ne&
ie%e "# in#"r$ati"n at the "!t%"$e "# ea%h
tria Cr!%ia(+ the !'ate e@!ati"n reie*
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re%e'ing tria+ an' the ate*t tria "!t%"$e
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ne4t tria S!5e$entar( In#"r$ati"n8
The agent '"e* n"t have t" retain
$e$"rie* "# re%ent "!t5 %"$e* Ath"!gh
the !'ate e@!ati"n* %an "n( e #"r$a(
e4re**e' in r"aii*ti% ter$*+ it i*
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"# e##e%tive earning rate* C"ar*e(+ the
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tra%,ing variae* at three *tage* in the e4eri$ent Le#t+ the 'i*tri!ti"n "n re&ar' r"aiit( an'
v"atiit( Right+ the 'i*tri!ti"n "n v"atiit( an' %"ntr" ara$eter+ , A#ter 120 tria*+ the Ba(e*ian
earner &a* %"n#i'ent that the re&ar' r"aiit( &a* 07>+ the *(*te$ &a* *tae+ an' that thi* *taiit(
&a* !ni,e( t" %hange 8 A#ter a #!rther 1> tria* in &hi%h the re&ar' r"aiit( %hange' t" 02+ the
Ba(e*ian earner &a* !n%ertain a"!t the *tate "# the envir"n$ent Le#t+ high r"aiit( in t&" regi"n*+
either re#e%ting that the envir"n$ent &a* !n%hange'+ "r that the envir"n$ent &a* %hanging an' that
the ne& re&ar' rate &a* "& %8 A#ter a #!rther 2> tria* "# "& re&ar' rate+ the earner ha' re%"vere'
%"n#i'en%e+!t *ti eieve' the *taiit( $ight %hange right8+ en*!ring that it &"!' rea%t #a*ter t"
an( #!t!re %hange in re&ar' rate '8 E4eri$ent I+ the re&ar' *%he'!e an' the Ba(e*ian ara$eter
e*ti$ate*#"r the *tae5#ir*t e4eri$ent are *h"&n Le#t+ the 'a*he' ine *h"&* tr!e re&ar'
r"aiitie* an' the *"i' ine *h"&* the Ba(e*ian5e*ti$ate' re&ar' rate Right+ e*ti$ate "# v"atiit(
thr"!gh the %"!r*e "# the *a$e e4eri$entN"te that &hen v"atiit( i* "&+ the e*ti$ate' re&ar' rate in
e#t8 %hange* itte &ith ea%h tria e8 3!$an ehavi"r Average earning rate* '!ring the *tae an'
v"atieha*e* "# ea%h e4eri$ent *tae5#ir*t an' v"atie5#ir*t+ re*e%tive(8 Re' an' a%, ar* *h"&
the
$ean an' *e$ va!e* #"r the h!$an *!6e%t* "t* *h"& the ehavi"r "# the Ba(e*ian earner
http://www.nature.com/natureneurosciencehttp://www.nature.com/natureneuroscience8/12/2019 Learning the value of information in an uncertain world
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2007 Nature Publishing Grouphttp://ww w .natur e .com/natureneu r oscience
a
b
/ig!re : E4eri$ent II+ %ing!ate a%tivit( re#e%ting e*ti$ate' v"atiit(
a8 C"r"na ( J 2;8 an' *agitta 4 J
+ the ACC $a( have a $"re genera r"e in
rere*enting an' !'ating a%ti"n va!e*22+2K+27
In'ee'+ a#ter e*i"n*
t" the ACC *!%!*+ $a%a@!e* n" "nger !*e $"re than the $"*tre%ent "!t%"$e t" g!i'e ea%h %h"i%e
19
-e %arrie' "!t a *e%"n' e4eri$ent+ !*ing #MRI in 1= *!6e%t* t"
te*t &hether ACC a%tivit( re#e%te' the e*ti$ate "# the
envir"n$ent?* v"atiit( &hen arti%iant* $"nit"re' 'e%i*i"n
"!t%"$e* S!6e%t* %arrie' "!t the *a$e ta*, a* the( 'i' in the
ehavi"ra e4eri$ent Ea%h tria &a* 'ivi'e' int" three ha*e*+
'e%i'e+ interva an' $"nit"r Meth"'*8+ a"&ing !* t" 'i**"%iate
a%tivit( reate' t" v"atiit( in the 'i##erent tria ha*e* I# the ACC
'i##erentia( integrate* in#"r$a5 ti"n #r"$ revi"!* tria* 'een'ing
"n the %!rrent e*ti$ate "# v"atiit(+ ACC a%tivit( *h"!' e
$"'!ate' ( thi* e*ti$ate '!ring the $"nit"r ha*e
The re&ar' envir"n$ent &a* *tae #"r K0 tria* 7> !e8 an'
v"atie #"r K0 tria* =0 *&aing et&een a%ti"n* ever( 20
tria*8 S!6e%t* &ere *it e@!a( int" gr"!* e4erien%ing the
*tae an' v"atie envir"n$ent* #ir*t U*ing the Ba(e*ian earner+
&e %a%!ate' the re'i%te' v"atiit( e*ti$ate at ea%h tria+
'eter$ine' ( the *!6e%t*? "*ervati"n*+ t" !*e a* a regre**"r in
the ana(*i* /ig :a8 -e ana(e' the 'ata !*ing the /MRIB
*"#t&are irar(2=
S!e5 $entar( In#"r$ati"n8 Seven regre**"r*&ere in%!'e' in the ana(*i*F three 'e#ining the ha*e* "# the
e4eri$ent 'e%i'e+ interva an' $"nit"r8+ three 'e#ining
intera%ti"n* et&een the*e ha*e* an' the re'i%te' e*ti$ate "#
v"atiit(+ an' "ne 'e#ining *!6e%t err"r* in the $"nit"r ha*e
A%tivati"n* in the 'e%i'e an' $"nit"r ha*e* "# the tria %"$ri*e
a net&"r, "# regi"n* inv"ve' in 'e%i*i"n5$a,ing29
/ig* 2 an' :a
an' S!e$entar( In#"r$ati"n8 N"ta(+ the 'e%i'e ha*e
a%tivate* %a!'a ACC+ &hi%h $a( e %"$arae t" $a%a@!e r"*tra%ing!ate $"t"r area Thi* area ha* %"nne%ti"n* t" ri$ar( $"t"r
%"rte4 an' *ina %"r':0
+ regi"n* that e4e%!te a%ti"n* a#ter the
'e%i*i"n In %"ntra*t+ the $"nit"r ha*e a%tivate* a r"*tra art "#
ACC Thi* area re*e$e* the regi"n in $a%a@!e that i*
inter%"nne%te' &ith *tr!%t!re* *!%h a* the a$(g'aa+ "rit"#r"nta
%"rte4 an' ventra *triat!$+ &hi%h are i$i%ate' in r"%e**ing
va!e an' re&ar':1
The #MRI 'ata ne%e**ari( %"ntaine'
%"n*i'era( #e&er tria* than the ehavi"ra e4eri$ent
Neverthee**+ the ehavi"ra %hange in earning rate *!rvive' a*
a tren' in*i'e the *%anner
In %"ntra*t+ the $"nit"r v"atiit( intera%ti"n reveae' a
%ir%!$5 *%rie' a%tivati"n in the ACC /ig :8+ the "n( rain
regi"n that *!rvive' thre*h"'ing $a4 J ;2+ at MNI 4 J
8/12/2019 Learning the value of information in an uncertain world
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!t n"ne "# the*e %an e4ain the *a$e "rti"n "# the #MRI*igna The ta*, &a* %are#!( %"ntr"e' t" a%%"!nt #"r the
#""&ing"tentia
8/12/2019 Learning the value of information in an uncertain world
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%"n#"!n'*F re&ar' attaine' ( the *!6e%t+ *&it%h tria*+
re'i%te' va!e "# the %h"*en "ti"n "!t%"$e *ie "!t%"$e
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i,eih""'2>
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attaine'+ an' the 'i##er5 en%e in va!e et&een the t&" "ti"n*
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regre**"r* %"n*tit!te in'i%e* "# tria 'i##i%!t( A$"ng the*e"tentia %"n#"!n'ing regre**"r*+ there &a* n" %a*e "# a
*igni#i%ant %"rreati"n that %"!' e4ain the #MRI *igna that
&a* attri!te' t" the v"atiit( e*ti$ate /ig ;a8+ an' &hen
a "# the*e %"n#"!n'* are in%!'e' a*
regre**"r*5"#5n"5intere*t in the $"'e+ the e##e%t "# v"atiit(
re$ain* !nt"!%he' /ig ;8
T&" #eat!re* "# the ta*, 'e*ign $a'e it "**ie t" %"ntr" #"r *"
$an( "tentia %"n#"!n'* /ir*t+ *!6e%t* "#ten ign"re' the
$"rer"ae "ti"n+ in #av"r "# the "ti"n &ith higher re&ar'
$agnit!'e S!%h %h"i%e* &ere in'een'ent "# e*ti$ate' v"atiit(
Se%"n'+ the tr!e $a4i$!$5re&ar' i,eih""' &a* *ight( higher in
the v"atie than in the *tae ha*e 0= an' 07>+ re*e%tive(8+*!%h that the average aarent5re&ar' i,eih""' t" the *!6e%t* &a*
e@!a in the t&"ha*e* Ath"!gh+ "n average+ h!$an ehavi"r i*
&e re'i%te' ( a Ba(e*ian earner+ there i* variaiit( in
earning rate* a%r"** the
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E,,e&t sie a&&ou#ti# ,or #o &o#,ou#dsE,,e&t sie a&&ou#ti# ,or all &o#,ou#ds
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8/12/2019 Learning the value of information in an uncertain world
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c e,,e&t o, volatility -redi&ts lear#i# rate a&ross sue&ts
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http://ww w .natur e .com/natureneu r oscience
2007 Nature Publishing Group
/ig!re ; Regi"n5"#5intere*t ana(*i* an' "tentia %"n#"!n'ing #a%t"r* a8 C"rreati"n et&een e*ti$ate' v"atiit( ( a4i*8 an' ten "tentia #a%t"r*that have revi"!*( een r""*e' t" e4ain ACC a%tivit( There &a* n" %a*e "# a *igni#i%ant %"rreati"n that %"!' e4ain the e##e%t "# e*ti$ate'
v"atiit(
8 R"!*tne** t""tentia %"n#"!n'* The ti$e %"!r*e* "# e##e%t *ie* thr"!gh the %"!r*e "# the tria are *h"&n+ #it &ith a genera inear $"'e *ee
Meth"'* an' S!e$entar( In#"r$ati"n8 ata are ta,en #r"$ "%a $a4i$a The a%, ine *h"&* the e##e%t *ie &hen e*ti$ate' v"atiit( &a* in%!'e' a*
a "ne regre**"r The e##e%t "# e*ti$ate' v"atiit( &a* %"n#ine' t" the $"nit"r eri"' "# the ta*, The gra( ine *h"&* the e##e%t *ie &hen ten reate'
%"n#"!n'* that have revi"!*( een th"!ght t" e4ain ACC a%tivit( &ere in%!'e' a*"tentia %"n#"!n'ing regre**"r* in the $"'e N"ne "# the ten
%"n#"!n'* %"!' e4ain the *igna reate' t" v"atiit( %8 V"atiit( reate' a%tivit( in the ACC e4ain* et&een5*!6e%t variati"n in "vera earning rate* A
ti$e *erie* "# %"rreati"n* *igne' r28 et&een the e##e%t *ie in the ACC an' the $ean earning rate #itte' t" *!6e%t ehavi"r "ver "th ha*e* "# the
e4eri$ent i* *h"&n S!6e%t* *h"&ing a greater e##e%t "# v"atiit( in the ACC in the "!t%"$e5$"nit"ringeri"' &ere i,e( t" *h"& a higher average
earning rate in the ehavi"ra 'ata In*ert+ *%atter"t at the ti$e "# the ea, e##e%t "# v"atiit( in the ACC r2
J 027+ P " 001 /5te*t8+ $a4 r2
J 0:28
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2007 Nature Publishing Grouphttp://ww w .natur e .com/natureneu r oscience
E,,e&t sie a&&ou#ti# ,or #o &o#,ou#ds
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0 5 10 15 20
Time $s%
E,,e&t sie a&&ou#ti# ,or #o &o#,ou#ds
E,,e&t sie a&&ou#ti# ,or all &o#,ou#ds a#d estimatedvolatility
Trial -rese#ted "es-o#se ut&ome ut&ome
E,,e&t sie $aritrary u#its%
bE,,e&t o, varia#&e o# r
0 5 10 15 20Time $s%
"!ati"n -e te*te' &hether the v"atiit( reate' *igna %hange in
the ACC %"!' re'i%t $ean earning rate* a%r"** in'ivi'!a*
In'ivi'!a* &ith a greater e##e%t "# v"atiit( in the ACC in the $"nit"r
eri"' ha' a higher $ean earning rate+ an' there#"re gave $"re
&eight t" the $"*t re%ent ie%e "# in#"r$ati"n /ig ;%8
The Ba(e*ian 'e*%riti"n *!gge*t* that v"atiit( i* 'ete%te' (
*!6e%t* an' in'!%e* !n%ertaint( in their e*ti$ate "# re&ar'
i,eih""'+ &hi%h 'rive* the earning rate Thi* !n%ertaint( i*
$ea*!re' a* varian%e in the $argina "*teri"r 'i*tri!ti"n "n r
verti%a &i'th "# &hite area* in e#t ane*+ /ig 2a
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/ig!re > E*ti$ate' v"atiit( an' varian%e "n r a8 E##e%t "# v"atiit(
&hen the varian%e "n the e*ti$ate "# re&ar' r"aiit( r &a* in%!'e' a*
a regre**"r a* &e a* the a#"re$enti"ne' %"n#"!n'*8 Thi* varian%e &a*
a %r!%ia in, et&een the v"atiit( e*ti$ate an' the earning rate Ti$e
%"!r*e* arere*ente' a* in /ig!re ; 8 E##e%t "# the varian%e "n the
e*ti$ate "# r In the a*en%e "# e*ti$ate' v"atiit( a* a %"regre**"r+ thi*
varian%e e4aine' the 'ata in a *i$iar &a( t" the v"atiit( e*ti$ate
3"&ever+ &hen the v"atiit( &a* in%!'e' a* a %"regre**"r+ the t&"
e##e%t*"th *!rvive'+ aeit e4aining 'i##erent "rti"n* "# the *igna
i##erent #"r$* "# !n%ertaint(Ne!ra rere*entati"n* "# !n%ertaint( have re%ent( re%eive'
attenti"n /"r e4a$e+ there i* evi'en%e that '"a$inergi% ne!r"n*
in $a%a@!e $"n,e(*:;
an' '"a$in"%etive rain regi"n* in
h!$an*:>
rere*ent the r"aiit( "# a re&ar' "%%!rringThe"reti%a $"'e* have 'ivi'e' !n%ertaint( int" the e4e%te'
!nre'i%taiit( "# a *ti$!!*5"!t%"$e a**"%iati"n+ an' the
!ne4e%te' !n%ertaint( %a!*e' ( %hange* in *!%h %"ntingen%ie*
*i$iar t" the v"atiit( 'riven !n%ertaint( that &e ana(9e
here817
+ an' have *!gge*te' that the*e t&" #"r$* "# !n%ertaint(
*h"!' %"$ine t" 'rive ehavi"r It i* *!gge*te' that thi*
!ne4e%te' !n%ertaint( i* 'riven ( n"reinehrine17
an' it*
intera%ti"n &ith the ACC:K
+ an' that the e4e%te' !n%ertaint( i*
rere*ente' in the %h"inergi% n!%ei17 T" 'ra& %"ntra*t &ith the
v"atiit( reate' a%tivit( in the ACC+ &e there#"re %arrie' "!t a
*e%"n' ana(*i* S!e$entar( In#"r$ati"n8 that in%!'e' the
r"aiit( "# a re&ar' '!ring the interva ha*e a* a regre**"r
Ath"!gh there &ere n" *igni#i%ant a%tivati"n* a#ter %"rre%ti"n*
#"r $!tie %"$ari*"n*+ re'!%ing the thre*h"' ; 2:+ P "
001 !n%"rre%te'8 reveae' a high( #"%a a%tivati"n in a regi"n "#
the rain anat"$i%a( %"n*i*tent &ith the '"a$inergi% ventra
teg$enta area VTA8 MNI 4 J
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2007 Nature Publishing Grouphttp://ww w .natur e .com/natureneu r oscience
ie%e "# in#"r$ati"n #"r re'i%ting #!t!re "!t%"$e*1>+1K
+ an' that
envir"n$enta v"atiit(+ a #a%t"r *een a* eing i$"rtant in
#inan%ia $ar,et*:7
+ i* a 'eter$inant "# *!%h *aien%e Thi* i* a ,e(
e4a$e "# the genera h("the*i* "# Ba(e*ian rea*"ningF $!tie
*"!r%e* "# in#"r$a5 ti"n *h"!' e re%"n%ie' a%%"r'ing t" their
re*e%tive re'i%tive va!e* Thi* h("the*i* ha* revi"!*( een'e$"n*trate' in the %"nte4t "# %"$ining *i$!tane"!* %!e*
1+2
3ere &e *h"& that h!$an* reeate'( %"$ine ri"r an'
*!*e@!ent in#"r$ati"n a* 'ata a%%!5 $!ate "ver ti$e+ even in
the %"nte4t "# %hanging envir"n$enta v"atiit(+ an' there#"re
%hanging reiaiit( "# "ne "r $"re *"!r%e* "# in#"r$ati"n
Re$ar,a(+ e"e "th e*ti$ate an' !*e thi* v"atiit(
ara$eter "ti$a(+ ga!ging the va!e "# ea%h ne& ie%e "#
in#"r$ati"n that the( a%@!ire The #a%t that the v"atiit(
e*ti$ate $"'!ate* the ACC re*"n*e t" ne& ie%e* "# in#"r$ati"n
*!gge*t* that a%tivit( in thi* regi"n $a( in#!en%e *!*e@!ent
earning an' 'e%i*i"n5$a,ing
The ACC i* art "# a 'i*tri!te' ne!ra *(*te$ that i* i$i%ate'
in the rere*entati"n an' !'ating "# 'e%i*i"n va!e*>+7+:2
Pre'i%ti"n err"r *igna* have een #"!n' in '"a$inergi%
regi"n*:=
an' the ventra *triat!$:9
+ an' a%ti"n va!e *igna* have
een #"!n' in the !ta$en;0+;1
+ !t the ACC?**e%ia %"ntri!ti"nha* een !n%ear O!r 'ata *!gge*t that #!%t!ati"n* in ACC a%tivit(
in the !'ate eri"' are reate' t" the e*ti$ate' v"atiit( "# theenvir"n$ent+ an' hen%e t" the earning rate The r"6e%ti"n #r"$ the
ACC t" ventra *triat!$;2
&"!' a"& the earning rate t"
$"'!ate the in#!en%e "# the %!rrentre'i%ti"n err"r "n the ne4t
va!e e*ti$ate=
Ath"!gh there ha* een an e$ha*i* "n the ACC?* r"e in
'ete%ting err"r* an' err"r i,eih""'2;+2>
+ the "*ervati"n that
v"atiit( in#!5 en%e* ACC a%tivit( re*"ve* a n!$er "# 'i*%reant
"*ervati"n* /"r e4a$e+ in *inge5!nit 'ata+ *"$e ACC ne!r"n*
re*"n' t" err"r*+ re&ar'* "r t" "th "!t%"$e* &hen $a%a@!e*#ir*t e4"re their avaiae "ti"n*+ !t a ne!r"n* are e** a%tive
"n%e re&ar' a**"%ia5 ti"n* have een &"r,e' "!t21
3"&ever+ ACC
ne!r"n* %"ntin!e' t" e a%tive &hen re&ar' a**"%iati"n* %hange'
*t"%ha*ti%a( "n ea%h "ti"n;:
The %!rrent ar"a%h a*"
e4ain* &h( ne!r"n* in inter5 %"nne%te' %ing!ate regi"n* %arr(
*igna* that are reate' t" the re%ent average re&ar' rate;:
an' it*
varian%e::
+ ara$eter* that are %"*e( reate' t" th"*e in "!r
$"'e Other re*ear%her* have re"rte' a high ACC BOL *igna
&hen h!$an *!6e%t* *&it%h ta*, *et "r revi*e their e*ti$ate "# the
%!rrent *it!ati"n22+;;
A%%"r'ing t" the %!rrent er5 *e%tive+ ACC
a%tivit( *h"!' in'ee' e greater &hen %ir%!$*tan%e* are %hanging+"r &hen an "!t%"$e i* e*e%ia( in#"r$ative The ACC %ir%!it
ha* a*" een i$i%ate' in *(%hiatri% 'i*ea*e* *!%h a* "*e*5 *ive5
%"$!*ive 'i*"r'er;>
S!%h %"n'iti"n* $a( e %"n%eive' "# a*
'i*"r'er* "# 'e%i*i"n5$a,ing+ in &hi%h the &r"ng in#"r$ati"n i*
given the greate*t &eight
Rather than *tre**ing the rere*entati"n an' !'ating "#
a%ti"n va!e*+ aternative a%%"!nt* "# ACC #!n%ti"n have #"%!*e' "n
*!6e%t ar"!*a;K
an' %hange* in attenti"n %a!*e' ( re*"n*e
%"n#i%t;7
A n!$er "# re%ent *t!'ie*+ h"&ever+ *!gge*t that
re*"n*e %"n#i%t $a( e $e'iate' ( $"re '"r*a regi"n* "# the
$e'ia #r"nta %"rte4;=
Ath"!gh it i* "**ie that the*e
*(%h""gi%a r"%e**e* have *"$e r"e in g!i'ing earning+ there
are *"$e ,e( 'i##eren%e* &ith the *igna inve*tigate' here /ir*t+ in
'e%i*i"n5$a,ing ta*,*+ %"n#i%t an' ar"!*a have ten'e' t" e reate'
t" ACC a%tivit( &hen the *!6e%t i* $a,ing a 'e%i*i"n an' a&aiting
the "!t%"$e;K+;7
In "!r *t!'(+ there i* &i'e5 *rea' ACC a%tivit(
'!ring the*e eri"'*+ !t it '"e* n"t %"rreate &ith the v"atiit(
*igna+ an' there#"re $a( e %"n*i*tent &ith the*e aternative
the"rie* "# ACC #!n%ti"n 3"&ever+ the v"atiit( a##e%t* the ACC
*igna &hen the "!t%"$e i* "*erve'+ &hi%h i* the %r!%ia ti$e #"r
earning Se%"n'+ there are $an( #eat!re* "# the ta*, that are
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e4e%te' t" %a!*e ar"!*a "r %"n#i%t+ !t %ann"t e4ain "!r 'ata
/"r e4a$e+ "!r 'ata %ann"t e e4aine' ( the 'i##i%!t( "# the
tria+ "r ( tria* &hen *!6e%t* ta,e ri*,( 'e%i*i"n* /ig ;8
/!rther$"re+ &e have 'e$"n*trate' that the *e%i#i% ACC re*"n*e
t" v"atiit( ha* a 'ire%t e##e%t "n earning S!6e%t* &ith a higher
re*"n*e t" v"atiit( in the "!t%"$e ha*e have higher average
earning rate* in the ehavi"ra 'ata /ig ;%8 It i* "**ie that
the 'ete%ti"n "# v"atiit( it*e# %a!*e* ar"!*a+ ath"!gh
%"$ari*"n &ith e*i"n 'ata19
*!gge*t* that *!%h ar"!*a *h"!'
have a %entra art in the earning r"%e** T" inve*tigate thi*
"**iiit(+ re*ear%her* *h"!' $ea*!re a!t"n"$i% re*"n*e* in
#!t!re e4eri$ent* &hen "!t%"$e* are "*erve' in %"n'iti"n*
"# 'i##ering v"atiit(
The re*!t* re*ente' here are %"n#ine' t" the !'ate eri"'
/ig* ; an' >8+ an' there#"re '" n"t ne%e**ari( i$i%ate the ACC
in the initia %"$!tati"n "r *t"rage "# v"atiit( "r !n%ertaint(
In thi* *t!'(+ v"atiit( e*ti$ate* varie' $"re *"&( than "&5
#re@!en%( #MRI "*%iati"n* The %r!%ia regre**"r &a*+ there#"re+
the intera%ti"n et&een e*ti$ate' v"atiit( an' the $"nit"r
eri"'+ &hi%h a"&e' !* t" te*t &here the v"atiit( e*ti$ate &a*
!*e' in %a%!ati"n* That $a%a@!e* &ith ACC e*i"n* !*e "n( the
"!t%"$e "# the $"*t re%ent tria t" g!i'e their ne4t 'e%i*i"n i*
%"n*i*tent &ith the i$"rtan%e "# ACC in $e'iating the in#!en%e
"# v"atiit( "n ehavi"r19
It i* n"tae that the Ba(e*ian earner in thi* *t!'( &a* n"t t!ne'
t" the *tr!%t!re "# ta*, %"ntingen%ie* !*e' in the e4eri$ent In
the e4eri$enta r"%e'!re+ the tr!e "!t%"$e r"aiit( %hange'
et&een 'i*%rete eve* In %"ntra*t+ the Ba(e*ian earner a**!$e*
that r"ai5 itie* var( in a %"ntin!"!* #a*hi"n Thi* $"'e &a*
%h"*en t" #it &ith the *!6e%t*?*tate at the "!t*et "# the ta*, -hen
*!6e%t* %arr( "!t the ta*,+ the( are naive t" n"t "n( the ta*,
%"ntingen%ie*+ !t a*" t" an("**ie *tr!%t!re therein 3"&ever+
an aternative &"!' e t" a**!$e *!6e%t* &ere a&are "# the ta*,
*tr!%t!re an' there#"re ai$e' t" "", #"r ar!t 6!$* in re&ar'
rate17+;9
*!%h an a**!$ti"n %an ea*i( e a%e' in the
#ra$e&"r, "# /ig 1 S!e$entar( In#"r$ati"n8 The #a%t that
thi* aternative $"'e+ *!ita( e4ten'e'+ $a,e* re'i%ti"n* "#
*!6e%t ehavi"r that are e@!ivaent t" th"*e "# the %"ntin!"!*
$"'e S!e$entar( Tae 18 'e$"n*trate* that "!r ana(*e*
'" n"t 'een' "n the e4a%t a**!$ti"n* $a'e a"!t the
generative $"'e The 'ete%ti"n "# v"atiit( in an( re&ar'
envir"n$ent a"&* an agent t" a'6!*t it* earning rate &ith"!t
,n"&e'ge "# ta*, *tr!%t!re
There ha* re%ent( een %"n*i'erae intere*t in the rere*entati"n
"# re&ar' e4e%tati"n an' r"aiit( in the rain>+7+1=+27+;0+;9+>0
It i* e%"$ing in%rea*ing( %ear+ h"&ever+ that *evera a*e%t* "#
re&ar' are rere*ente' 'i*tin%t(:>
The re*ent #in'ing* "#
%"rti%a a%tivati"n re#e%ting envir"n$ent v"atiit(+ an' there#"re
!n%ertaint(+ in the re&ar' e*ti$ate "n%e again !n'er*%"re* the
nee' t" rere*ent $an( 'i*tin%t a*e%t* "# an "rgani*$?*e4erien%e"# the re&ar' envir"n$ent in "r'er #"r 'e%i*i"n* t" e $a'e
e##e%tive(
MET3OSE*ti$ating the earning rate #r"$ the *!6e%t 'e%i*i"n* /"r E4eri$ent
1+ *!6e%t* 'e%i'e' et&een !e an' green re%tange* in ea%h tria+
'eter$ine' ( their e4e%tati"n "# the %"rre%t re*!t an' the re&ar'
a**"%iate' &ith ea%h "!t%"$e /ig 18 -e %hara%terie' the *!6e%t*?re*"n*ivene** t" ne& "*ervati"n* at t&" *tage* "# the e4eri$entF &hen
the *!6e%t* *h"!' e*ti$ate the envir"n$ent t" e at it* $"*t *tae+ an'
&hen the( e*ti$ate' it t" e at it* $"*t v"atie /ig 18 -e then #it a
rein#"r%e$ent5earning $"'e t" the *!6e%t*?'e%i*i"n* in ea%h ha*e The
$"'e ha* t&" art*F a Mre'i%t"r?+ &hi%h e*ti$ate* the %!rrent re&ar' rate
given a*t "*ervati"n*+ an' an M*ee%t"r?+ &hi%h generate* a%ti"n* "n the
a*i* "# the*e e*ti$ate*
The re'i%t"r i* in the #"r$ "# a *i$e 'eta5earning r!e= Thi* r!e ha* a
*inge #ree ara$eter+ the earning rate The 'eta5earning r!e=
e*ti$ate* "!t%"$e r"aiitie* !*ing the #""&ing e@!ati"nF
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ri 1
J ri
aei
&here ri1
i* the re'i%te' "!t%"$e r"aiit( #"r the i18th
tria+ ri
i*
there'i%te' "!t%"$e r"aiit( #"r the ith
tria+ eii* the re'i%ti"n err"r at
the ith
tria+ an' a i* the earning rate B( %h""*ing 'i##erent va!e* #"r a+ the
$"'e %an $a,e 'i##erent ar"4i$ati"n* "# the *!6e%t?*"!t%"$er"aiit( e*ti$ate* The *ee%t"r $"'e e4ain* *!6e%t 'e%i*i"n* "n the
a*i* "# the*e e*ti$ate* 3ere+ 'e%i*i"n* are 'eter$ine' ( "th the
e*ti$ate' re&ar' i,eih""'+ ri1
+ an' ( the re&ar' $agnit!'e "n ea%h
"ti"n Oti$a a%ti"n *ee%ti"n &"!' inv"ve %"$!ting the e*ti$ate'
Pa*%aian va!e "!t%"$e *ie "!t%"$e
r"aiit(8 "# ea%h "ti"n a*#""&*F
g!ei1
Jri1
#!ei
1
ggreeni1
JP1 ri1
Q#greeni
1
&here #green+i
an' #!e+i
are the ,n"&n re&ar' *ie* "# ea%h %""r The
"ti$a re*"n*e i* then the %""r &ith the highe*t re'i%te' r"#it 3"&ever+
&e '" n"t $a,e the a**!$ti"n that h!$an *!6e%t* &eigh re&ar' i,eih""'
&ith re&ar' $agnit!'e in thi* "ti$a Pa*%aian #a*hi"n In*tea'+ &e
in%!'e a #ree ara$eter that a"&e' *!6e%t* t" in%rea*e the &eight
"# either re&ar' i,eih""' "r re&ar' $agnit!'e &hen va!ing an "!t%"$e
re*e%tive( rere*enting ri*,5aver*e an' ri*,5r"ne ehavi"r8
S!6e%t* are ta,en t" va!e ea%h "ti"n a%%"r'ing t" the #""&inge@!ati"n*F
g!ei1
J/Pri 1
gQ#!ei
1
ggreeni1 J/P1 ri 1gQ#greeni1
&here #!n%ti"n /r+ g8 i* a *i$e inear tran*#"r$ &ithin the "!n'* "#
0 an' 1F
/PrgQJ$a4R$inRPgPr 0F>Q0F>Q10
an' g J 1+ g " 1 an' g ; 1 i$( "ti$a+ ri*,5r"ne an' ri*,5
aver*e ehavi"r+ re*e%tive(
S!6e%t* &ere then a**!$e' t" generate a%ti"n* *t"%ha*ti%a(+ a%%"r'ing t"
a *ig$"i'a r"aiit( 'i*tri!ti"n #"r e4a$e:9+;9
8F
1
"int+ an' their *tan'ar' err"r* The grah* in /ig* ; an' >+ an' S!e5
$entar( /ig 1 *h"& the*e ti$e *erie* "# e##e%t *i9e* thr"!gh"!t the tria #"r
the regre**"r "# intere*t
N"teF S!e$entar( in#"r$ati"n i* avaiae "n theN a t! re Ne!r"*%ien%e &e*ite
ACNO-LEHMENTSThe a!th"r* &"!' i,e t" than, -at,in* #"r a'vi%e &ith the *t!'( an' the
$an!*%rit Thi* &"r, &a* *!"rte' ( the U Me'i%a Re*ear%h C"!n%i
TB8+ the Engineering an' Ph(*i%a S%ien%e* Re*ear%h C"!n%i M--8+the -e%"$e tr!*t ME-8 an' the R"(a S"%iet( M/SR8
AUT3OR CONTRIBUTIONSA #"!r a!th"r* &ere inv"ve' in generating the h("the*i*+ 'e*igning the
e4eri$ent an' &riting the $an!*%rit -here *e%i#i% r"e* %an e a**igne'FTE)B an' M-- !it the $"'e TE)B a%@!ire' an' ana(e' the'ata ME- *!ie' the ne%e**ar( in%i*ive &it M/SR *!ervi*e' ther"6e%t
COMPETINH INTERESTS STATEMENT
The a!th"r* 'e%are n" %"$eting #inan%ia intere*t*
P!i*he' "nine at httFGG& &&nat!re%"$Gnat!rene!r"*%ien%e
Rerint* an' er$i**i"n* in#"r$ati"n i* avaiae "nine at httFGGng nat!re%"$G
rerin t *an'er$i**i "n*
1 Ern*t+ MO . Ban,*+ MS 3!$an* integrate vi*!a an' hati% in#"r$ati"n in
a *tati*ti%a("ti$a #a*hi"n Nat!re ;1>+ ;29
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"# %"n'iti"ne'+ !t n"t "# !n%"n'iti"ne'+ *ti$!i P*(%h" Rev =7+ >:2>2 19=08
1: i%,in*"n+ A . Ma%,int"*h+ N) Ca**i%a %"n'iti"ning in ani$a* Ann! RevP*(%h"
29+ >=7::;; 20028
1K C"!rvie+ AC+ a&+ N . T"!ret,(+ S Ba(e*ian the"rie* "# %"n'iti"ning in
a %hanging &"r' Tren'* C"gn S%i 10+ 29;9 200;8
2: Ni,i+ 3 . -atanae+M Pre#r"nta an' %ing!ate !nit a%tivit( '!ring ti$ing ehavi"r
in the $"n,e( Brain Re* 171+ 21:
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2007 Nature Publishing Grouphttp://ww w .natur e .com/natureneu r oscience
2> Br"&n+ )- . Braver+ TS Learne' re'i%ti"n* "# err"r i,eih""' in the
anteri"r %ing!ate %"rte4 S%ien%e :07+ 111=8
2K It"+ S+ St!h"rn+ V+ Br"&n+ )- . S%ha+ ) Per#"r$an%e $"nit"ring (the
anteri"r %ing!ate %"rte4 '!ring *a%%a'e %"!nter$an'ing S%ien%e :02+ 1200+ 9=7
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Figure S1: Plots show the effect of volatility at each timepoint when the data is
divided into a) error and rewarded trials and b) switch and stay trials. The effect
of volatility remains even if only error trials, or only rewarded trials, or only
switch trials, or only stay trials are included in the analysis.
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Figure S:
!eural correlates of the value of the decision, during the "#$%"# phase &a), and the
prediction error during the '(!%T( phase. Slices are ta*en at: coronal, y+-,
sagittal, +, aial, /+. a) clusters are shown for a cluster forming threshold of
0+., &p23.34 cluster corrected). b) !o activations were present at corrected
levels. The figure shows effects of prediction error in the presma, and 5entral
tegmental 6rea for 07.8, p23.31 uncorrected. These regions overlap with regions
coding the predicted probability of an outcome during the %!T#569 phase. See
supplementary and main tet
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S!e$entar( Tae 1
M"'e ara$*
ara$**ee%t"r8
Pre'i%ti"n
L"gi,eih"
Ba(e*ian 0 : =7 7K8 51;:2
Ba(e*ian 6!$ 0 : =7 7K8 51;:>
RL 1 : => K98 51>1K
RL : 7 =K 7:8 51;7=
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Learning the value of information in an uncertain world.
Timothy E.J. Behrens, Mark W. Woolrich, Mark E. Walton, Matthew .!.
"ushworth
!u##lementary information.
$escri#tion of the Bayesian learner
3ere &e 'e*%rie a Ba(e*ian ar"a%h t" tra%,ing "!t%"$e r"aiitie* given a a*t
hi*t"r( "# *t"%ha*ti% tria "!t%"$e* in an envir"n$ent &here the*e r"aiitie* $a(
%hange At tria i a ne& "!t%"$e (ii* generate' In the %"nte4t "# thi* e4eri$ent+ (
i
i* a re&ar' either "n !e "r "n green+ &here (ii* "n !e &ith r"aiit( r
i+ an' "n
green &ith r"aiit( 15 ri8 The g"a "# the *!6e%t i* t" e*ti$ate r
i1#r"$ a
revi"!* 'ata ([05i
in "r'er t" %h""*e "ti$a( at the #""&ing tria 3"&ever+ in a
ti$e5var(ing envir"n$ent+ r $a( %hange #r"$ tria5t"5tria It i* ene#i%ia t" the
*!6e%t t" !n'er*tan' h"& r i* %hanging E##e%tive(+ it &i a"& the$ t" ,n"& h"&
e*t t" 'i*%"!nt in#"r$ati"n &ith a**ing tria* /"r e4a$e+ in an envir"n$ent
&here r i* ,n"&n t" e *tae+ a *!6e%t *h"!' %"n*i'er a hi*t"ri%a tria* &ith e@!a
&eight+ in "r'er t" "tain the e*t re'i%ti"n "# r at the #""&ing tria 3"&ever+ in
an envir"n$ent &here r $a( %hange+ re%ent tria* are $"*t i,e( t" e rere*entative
"# the %!rrent *it!ati"n+ *" an "!t%"$e?* re'i%tive "&er i* 'i$ini*he' a* it $"ve*
#!rther int" the a*t
The "ti$ait( "# thi* ar"a%h reie* "n the a**!$ti"n that the r"e$ i*
*"ve' in a Mar,"vian #a*hi"n That i*+ &hen an "!t%"$e i* "*erve'+ the ne&
"!t%"$e r"aiit( 'een'* "n( "n thi* "*erve' "!t%"$e an' "n the revi"!*
"!t%"$e r"aiit(+ !t n"t "n the #! hi*t"r( "# revi"!* "!t%"$e r"aiitie* A
Mar,"vian ar"a%h i* %"$eing *in%e it %an ar*i$"ni"!*( %at!re $an( "# the
8/12/2019 Learning the value of information in an uncertain world
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*tati*ti%a reg!aritie* "# the envir"n$ent &ith"!t e4i%it( %"n*i'ering *tate* "#
the re$"te a*t In "ther &"r'*+ the envir"n$ent %an e &e rere*ente' &ith"!t
nee'ing t" *t"re the entire hi*t"r( "# e*ti$ate' re&ar' r"aiitie* an' "!t%"$e*
Un'er thi* Mar,"vian a**!$ti"n+ a 'iagra$ "# the r"aiit(5 tra%,ing r"e$ %an
e *een in Main #ig!re 1+ in the #"r$ "# a generative $"'e In the Mar,"vian *etting+
the %hangeaiit( "# r i* rere*ente' ( ri1
Wri8+ ie the r"aiit( that r &i $"ve
#r"$ the va!e rit" the va!e r
i1"ver the %"!r*e "# a *inge tria Thi* i* a r"aiit(
'i*tri!ti"n "n the ne4t re&ar' rate ri1
+ &hi%h $!*t ie et&een 0 an' 1 The
'i*tri!ti"n i* %entre' "n ri+ en%"'ing the ri"r e4e%tati"n that the re&ar' rate at the
ne4t tria+ ri1
+ 'een'* !"n the %!rrent re&ar' rate+ ri -e rere*ent thi*
'i*tri!ti"n a* a beta distributionF
r i1Wri + v 8 X ri + V 8 18
&here ri'e#ine* the $ean "# the 'i*tri!ti"n an' VYe4v8 'e#ine* the &i'th "# the
'i*tri!ti"n See aen'i4 #"r a 'e#initi"n "# the reara$eteri*e' eta 'i*tri!ti"n a*
!*e' here8 N"te that the e4"nentia i* ta,en *" that integra* "n the &i'th ara$eter
are er#"r$e' in "g *a%e A arge va!e "# v ea'* t" a &i'e 'i*tri!ti"n+ i$(ing r
$a( e e4e%te' t" %hange great( a *$a va!e "# v ea'* t" a narr"& 'i*tri!ti"n+
i$(ing r $a( e e4e%te' t" %hange ver( itte 3en%e+ &e re#er t" v a* the
v"atiit( a* it %"ntr"* the e4tent t" &hi%h the "*erve' "!t%"$e* "# 'e%i*i"n* %an
!'ate the e*ti$ate' re&ar' r"aiit( et&een tria* I# the *!6e%t treat* the
envir"n$ent e4a%t( a* 'e*%rie' a"ve+ the( &i $a,e the a**!$ti"n that the
envir"n$ent i* a&a(* *!*%etie t" the *a$e rate "# %hange+ an' the( &i there#"re
e !nae t" r"#it #r"$ eri"'* "# local *taiit( t" #"r$ $"re a%%!rate e*ti$ate* "#
the re&ar' rate I#+ in #a%t+ the envir"n$ent $a( g" thr"!gh *tae ha*e* an' v"atie
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ha*e*+ the
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*!6e%t $!*t !n'er*tan' thi* %hanging v"atiit( in "r'er t" er#"r$ "ti$a(
Mathe$ati%a(+ &e tra%, the %hanging v"atiit(+ vi+ in the *a$e $anner a* the re&ar'
rate+ ri + ( again a**!$ing a Mar,"vian r"gre**i"n The %hangeaiit( "# v i*
rere*ente' a* vi1
Wvi8 3ere+ the 'i*tri!ti"n '"e* n"t nee' t" e %"n*traine'
et&een 0 an' 1+ *" the #"r$ "# the tran*iti"na 'i*tri!ti"n %an e ta,en t" e
Ha!**ianF
vi1
Wvi+ ,8N v
i+ 8 28
&here Ye4,8 %"ntr"* the rate "# %hange "# v"atiit( Again+ the e4"nent i* ta,en
*" that integra* are er#"r$e' in "g *a%e the nat!ra *a%e #"r a varian%e
ara$eter A arge va!e #"r , ea'* t" a &i'e tran*iti"na 'i*tri!ti"n+ an' &"!'
'e*%rie an envir"n$ent that $"ve* @!i%,( et&een *tae an' v"atie eri"'* a
*$a va!e #"r , ea'* t" a narr"& 'i*tri!ti"n an' &"!' 'e*%rie an envir"n$ent
&h"*e v"atiit( %"!' "n( %hange *"&( In "ther &"r'*+ the ara$eter , rere*ent*
the 'i*tr!*t in the %"n*tan%( "# the envir"n$ent?* v"atiit(
%n alternative forward model.
The #"r&ar' $"'e 'e*%rie' a"ve i* "ti$a #"r tra%,ing 'ri#ting re&ar' rate*
3"&ever+ an aternative $"'e+ i* t" a**!$e that the re&ar' rate re$ain* %"n*tant #"r
a eri"' "# ti$e+ an' then 6!$* t" a ne& !n,n"&n va!e Thi* *e%"n' *%enari" i*+ in
#a%t+ the %a*e in "!r e4eri$ent+ !t *!6e%t* %ann"t ,n"& thi* g"ing int" the ta*,
3ere &e &i a( "!t *!%h a $"'e+ an' ater &e *h"& that the re'i%ti"n* "# the
Ba(e*ian earner are n"t *en*itive t" thi* $"'eing %h"i%e
/"r thi* $"'e+ &e $!*t intr"'!%e a atent variae Si+ &hi%h ta,e* the va!e
1 &hen a 6!$ in re&ar' rate "%%!r*+ an' 0 &hen the re&ar' rate re$ain* *tae
The %"n'iti"na r"aiit( 'i*tri!ti"n "n ri%an n"& e &rittenF
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Zri [ ri[1
8Si Y 0pr
i
W ri[1
+Si
8 Y I.
:
0+18
SiY1
The v"atiit( in thi* $"'e i* ta,en a* the "g
r"aiit( "# &itne**ing a re&ar' rate 6!$ at ea%h
tria 3en%eF
pSi
8 Y 5i
&here+ ViYe4v
i8 -e %an n"& $arginai*e "ver the
atent variae Si+ t" eaveF
priW r
i[1+5
i8 Y 1 [5
i8r
i[ r
i[18 5
i0+18
An' the %"n'iti"na 'i*tri!ti"n "n vii* e4a%t(
a* in the "rigina $"'e a"ve vi1
Wvi+ ,8N
vi+ 8
N"te that the "n( 'i##eren%e et&een the t&" $"'e*
i* there#"re the e4a%t #"r$ "n the %"n'iti"na
'i*tri!ti"n "n vi+ an' that the grahi%a 'e*%riti"n
"# the r"e$ $ain #ig!re 18 i* i'enti%a #"r the t&"
$"'e*
&nferring r from #ast observations.
!ring the e4eri$ent+ the Ba(e*ian earner?*
ta*, i* t" !*e revi"!* 'ata 'e%i*i"n "!t%"$e*8 t"
e*tai*h a eie# a"!t the *tati*ti%* "# the re&ar'
envir"n$ent t" !*e in the ne4t tria The*e !n,n"&n
*tati*ti%* are the "!t%"$e r"aiit(+ r+ the v"atiit(+
v+ an' the rate "# %hange "# v"atiit(+ , It %an e
*h"&n that thi* i* '"ne in the $"*t e##i%ient !nia*e'
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&a( ( !*ing
Ba(e*ian earning 1
Ba(e*ian earning i*
i$e$ente' !*ing
Ba(e* r!eF
-$!n,n"&n* 'ata%
-$'ata
!n,n"&n*%-$!n,n"&n*%
&here+ in thi*
e4eri$ent+ the 'ata
i* the hi*t"r( "#
'e%i*i"n "!t%"$e*
#r"$ a tria* the
!n,n"&n* are the
*tati*ti%* "# the
re&ar' envir"n$ent
r+ v+ an' , an' the
i,eih""'+ 'ata W
!n,n"&n*8+ i* the
generative $"'e
rere*ente'
grahi%a( in $ain
#ig!re 1 Thi*
e@!ati"n %an e !*e'
t" i$e$ent the
Ba(e*ian earner It
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r"vi'e* the $ean* t" !*e the evi'en%e in the 'ata t" !'ate !n,n"&n*8+ theprior
r"aiit( 'i*tri!ti"n* "# "r eie# in8 the !n,n"&n ara$eter*prior t" *eeing the
'ata at ea%h tria+ in "r'er t" "tain -$!n,n"&n* 'ata8+ theposteriorr"aiit(
'i*tri!ti"n* "# "r eie# in8 the !n,n"&n ara$eter* a#ter *eeing the "!t%"$e "# the
tria
Ba(e* r!e %an e !*e' t" &rite '"&n the;ointr"aiit( 'i*tri!ti"n at tria
i "# a the ara$eter* rere*enting the *tati*ti%* "# the re&ar' envir"n$ent thr"!gh
the
%"!r*e "# the e4eri$entF
ipr
[i
+v[i
+ * Wy[i
8 Up7*8p7r1
8p7v1
8py;
W r;
8pr;
W r; Z1
+v;
8pv;
W v; Z1
+ *8
; Y1
&here (\i
i* a 'ata 'e%i*i"n "!t%"$e*8 ! t" an' in%!'ing tria i+ r\I
an' v\I
are the
entire hi*t"r( "# re&ar' rate* an' v"atiitie* at ea%h tria an' , i* the 'i*tr!*t in the
%"n*tan%( "# v"atiit( *ee $ain #ig!re 18 (i+ri an' vi rere*ent the 'ata+ re&ar'
rate an' v"atiit( at a arti%!ar tria+ i N"te that thi* $a,e* !*e "# the Mar,"vian
r"ertie* "# rian' v
iF
pr;
W r[;
+v[;
8 Ypr;
W r; 1
+v;
8
pv;
W v[;
+ *8 Ypv;
W v; 1
+ *8
Marginaiing integrating8 "ver the hi*t"r( "# r an' v revi"!* t" tria i give*
the "*teri"r r"aiit( 'i*tri!ti"n #"r the ara$eter* r+v+ an' , at tria i a*F
ipr
i
+vi
+ * Wy[i
8 U p*8 ZL Z p7r1
8pv1
8.[py;
W r;
8pr;
W r; I1
+v;
8pv;
W v; I1
+ *8dr[i
I1
dv[iI1
; Y1
e< 68
A *i$iar e4re**i"n %an e &ritten '"&n #"r the "*teri"r r"aiit( #"r eie# in8
the ara$eter* r+v+ an' , at tria i1F
i 1pr
i 1
+vi 1
+ * Wy[i 1
8 U p*8 ZL Z p7r1
8pv1
8.[py;
W r;
8pr;
W r; I1
+v;
8pv;
W v; I1
+
*8dr[i
dv[i
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; Y1
I$"rtant(+ thi* %an then e $!%h *i$i#ie' ( *!*tit!ting in the e4re**i"n #"rthe
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"*teri"r r"aiit( #"r eie# in8 the ara$eter* r+v+ an' , at the revi"!* tria i
given in e@!ati"n A8F
pri 1
+vi 1
+ * Wy[i 1
8 Up7yi 1
W ri 1
8
Z [Zp7r
i+v
i+* Wy
[i8pv
i 1W v
i+ *8dv
i
Vpr
i 1W r
i+v
i 18dr
i
e< =8
Thi* e@!ati"n r"vi'e* a &a( "# !'ating "!r eie# in the ara$eter* r+ v+ an'
, "n a tria5(5tria a*i* &ith"!t nee'ing t" *t"re the #! hi*t"r( "# 'e%i*i"n
"!t%"$e* "r the #! hi*t"r( "# *tati*ti%* "# the re&ar' envir"n$ent Thi* %an e *een+
a* n" 'ata "int* revi"!* t" (i1
an' n" ara$eter* revi"!* t" tria i e4i*t in the
e@!ati"n The entire hi*t"r( "# revi"!* re&ar'* i* *!$$arie' in the 6"int
r"aiit( 'i*tri!ti"n ri+v
i+,8 Thi* 'i*tri!ti"n+ the %!rrent eie# in the
ara$eter* r+ v+ an' ,+ i* a the in#"r$ati"n that i* %arrie' t" tria i1
-e er#"r$ the integra* in e@!ati"n B !*ing n!$eri%a integrati"n "n a >5
'i$en*i"na gri' the #ive 'i$en*i"n* rere*ent ri1
+vi1
+ri+v
ian' ,+ &ith integrati"n
"ver t&" "# the$+ rian' v
i8 Thi* eave* a :5'i$en*i"na gri' rere*enting the 6"int
'i*tri!ti"n ri1
+vi1
+,8+ &hi%h i* *t"re' et&een tria* At the eginning "# the
e4eri$ent the 6"int 'i*tri!ti"n i* *et t" e !ni#"r$+ re#e%ting the #a%t that the
*!6e%t* have n" in#"r$ati"n a"!t an( "# the ara$eter* e#"re the e4eri$ent
egin*
In "r'er t" $a,e a 'e%i*i"n at tria i1+ the Ba(e*ian earner re@!ire* an
e*ti$ate "# the re&ar' rate ri1
Thi* e*ti$ate i* the $ean "# the r"aiit(
'i*tri!ti"n "n ri1
The #ina %"$!tati"n #"r the Ba(e*ian earner i* there#"re t"
%"$!te the marginal 'i*tri!ti"n ri18 #r"$ the 6"int r"aiit( 'i*tri!ti"n
ri1
+vi1
+,8 Thi* i* "taine' ( $arginai*ing integrating "ver8 vi1
an' ,F
pri 1
8 Y[ [
pri 1
+vi 1
+*8dvi 1
d*
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The %!rrent e*ti$ate "# the re&ar' rate i* then given ( the $ean "# thi* 'i*tri!ti"nF
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r]i 1
Y# ri 1
8 Y [ ri 1pr
i 18dr
i 1
Again+ the integra* in thi* an' in the revi"!* e@!ati"n are er#"r$e' n!$eri%a(+
thi* ti$e a%r"** a :5'i$en*i"na gri' the three 'i$en*i"n* are ri1
+vi1
an' ,8
E'#eriment () *uman Behaviour
'odel performance:
In "r'er t" #!rther te*t the er#"r$an%e "# the $"'e+ &e %"$are' *!6e%t
er#"r$an%e t" re'i%ti"n* $a'e ( "th the Ba(e*ian earner &ith "th #"r&ar'
$"'e*8 an' ( %a**i%a rein#"r%e$ent5earning $"'e* -e !*e' t&" 'i##erent RL
$"'e* #"r the %"$ari*"n The #ir*t RL18 !*e' "ne earning rate #"r ea%h *!6e%t
The *e%"n' RL28 !*e' *earate earning rate* in ea%h ha*e v"atie an' *tae8 in
ea%h *!6e%t The RL1 $"'e ha* 1= ara$eter* 1 er *!6e%t8+ an' the RL2 $"'e
ha* :K ara$eter* 2 er *!6e%t8 that are #it t" the *!6e%t 'ata In %"ntra*t+ the
Ba(e*ian earner ha* n" ara$eter* that %an e #it t" the *!6e%t 'ata I# the
Ba(e*ian $"'e %an er#"r$ a* &e a* the rein#"r%e$ent5earning $"'e*+ 'e*ite
having n" #ree ara$eter* t" #it t" the *!6e%t 'ata+ it i* *tr"ng evi'en%e #"r the
Ba(e*ian rati"nae #"r *etting the earning rate
On t" "# ea%h "# the*e ^re'i%t"r_ $"'e*+ &e !*e' the ^*ee%t"r_ $"'e
'e*%rie' a"ve+ an' again #it $"'e ara$eter* !*ing Ba(e*ian e*ti$ati"n -e then
$a'e re'i%ti"n* "# *!6e%t 'e%i*i"n* #r"$ ea%h $"'e+ a**!$ing that the $"'e
&"!' %h""*e the a%ti"n &ith the higher va!e at ea%h tria -e %"$are' the*e
re'i%ti"n* again*t *!6e%t 'e%i*i"n* in t&" &a(* Tae 18 /ir*t+ &e %"$are'
again*t *!6e%t 'e%i*i"n* in a tria* 3"&ever+ '!e t" the nat!re "# the ta*,+ $"*t "#
the 'e%i*i"n* $a'e ( the *!6e%t* are trivia+ an' re'i%te' ( an( rea*"nae $"'e
-e there#"re #!rther te*te' the $"'e* ( e4a$ining "n( ^'i##i%!t_ tria* The*e
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tria* are 'e#ine' a* th"*e &here the e4e%te' Pa*%aian va!e* "# the t&" "ti"n* are
*earate' ( e** than > "int* re*!t* in arenthe*e* in tae 18
e*ite the 'i##eren%e in n!$er "# ara$eter*+ the three $"'e* er#"r$ %"$ara(
"ver a tria*+ &ith the Ba(e*ian $"'e $argina( "!t5er#"r$ing the rein#"r%e$ent
earning $"'e* E4a$ining the 'ata #r"$ the 'i##i%!t tria*+ &here %han%e
er#"r$an%e i* >0+ RL1 re'i%t* *!6e%t 'e%i*i"n* at 19 etter than %han%e+ RL2
re'i%t* at 2: etter than %han%e+ an' the Ba(e*ian $"'e re'i%t* at 2K etter
than %han%e C"$aring the "g i,eih""' "# the three $"'e* &ith the #itte'
ara$eter* revea* ehavi"!ra 'ata t" e e*t #it ( the Ba(e*ian $"'e+ #""&e' (
the RL2 $"'e+ again %"n#ir$ing that the 'ata i* e*t re'i%te' ( $"'e* in &hi%h
the earning rate %an %hange
C"$aring the t&" "**ie #"r&ar' $"'e* #"r the Ba(e*ian earner reveae' a ver(
*i$iar eve "# re'i%ti"n "# the *!6e%t er#"r$an%e Thi* i* !n*!rri*ing a*+ "# a
>=0 tria* in the t&" *%he'!e*+ the t&" Ba(e*ian #"r&ar' $"'e* $a'e 'i##erent
re'i%ti"n* "# *!6e%t %h"i%e in "n( 9 tria*
E'#eriment &&) Learning rule related activity in the %++
F'% eperiment timing.
S!6e%t* er#"r$e' the *a$e a*i% ta*, a* in the ehavi"!ra e4eri$ent
'e*%rie' in the $ain te4t Ea%h tria &a* 'ivi'e' int" : ha*e*F $E+&$E -
/seconds 0ittered1) The ha*e &hen *!6e%t* $a'e the 'e%i*i"n The *!6e%t* %"!'
*ee the avaiae "ti"n*+ !t %"!' n"t re*"n' !nti a @!e*ti"n $ar, aeare' "n the
*%reen &2TE"3%L -/ seconds 0ittered1) A#ter $a,ing the 'e%i*i"n+ !t e#"re the
%"rre%t an*&er &a* reveae' M42&T4" 5ss1) S!6e%t* "*erve' the %"rre%t
"!t%"$e "# the tria in the %entre "# the *%reen I# the *!6e%t ha' g!e**e' %"rre%t( at
that tria+ the rie ar $"ve' #"r&ar' ( the 'i*tan%e a**"%iate' &ith that "ti"n
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There &a* an inter5tria interva 56 seconds 0ittered1. T"ta tria ti$e &a* 20* "n
average -e ha' 120 tria*+ giving an average *%an ti$e "# 6!*t "ver ;0 $in!te*
F'% data
/MRI 'ata &ere a%@!ire' in 20 *!6e%t* "n a :T Sie$en* TRIO *%anner
ata &ere e4%!'e' #r"$ "ne *!6e%t '!e t" rai' hea' $"ti"n+ an' #r"$ "ne *!6e%t
a* $ean a%tivati"n eve* "ver the entire rain &ere > *tan'ar' 'eviati"n* #r"$ the
"!ati"n $ean The re$aining 1= *!6e%t* &ere in%!'e' in the ana(*i*
/MRI 'ata &ere a%@!ire' &ith a v"4e re*"!ti"n "# :4:4: $$
:
+ TRY:*+ TEY:0$*+/i angeY=7" The *i%e ange &a* *et t" 1>" an' a "%a 5*hi$ &a* aie' ar"!n'
the "rit"#r"nta %"rte4 t" $ini$ie *igna 'r""!t in thi* regi"n2+ &hi%h ha' een
i$i%ate' in "ther a*e%t* "# 'e%i*i"n5$a,ing in revi"!* *t!'ie* The n!$er "#
v"!$e* a%@!ire' 'een'e' "n the ehavi"!r "# the *!6e%t The $ean n!$er &a*
=:0+ giving a t"ta e4eri$ent ti$e "# ar"!n' ;2 $in!te*
/ie' Ma* &ere a%@!ire' !*ing a '!a e%h" 2 gra'ient e%h" *e@!en%e &ith
e%h"* at >19 an' 7K> $*+ an' reetiti"n ti$e "# ;;;$* ata &ere a%@!ire' "n a
K;4K;4;0 gri'+ &ith a v"4e re*"!ti"n "# :$$ i*"tr"i%
T15&eighte' *tr!%t!ra i$age* &ere a%@!ire' #"r *!6e%t aign$ent !*ing an
MPRAHE *e@!en%e &ith the #""&ing ara$eter*F V"4e re*"!ti"n 14141 $$: "n a
17K41924192 gri'+ E%h" ti$eTE8Y ;>: $*+ Inver*i"n ti$eTI8Y 900 $*+ Reititi"n
ti$e TR8Y 2200 $*
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/MRI ana(*i*
/MRI ana(*i* &a* %arrie' "!t !*ing /MRIB?* S"#t&are irar( /SL:8
!ingle sub0ect #rocessing
Preprocessing
ata &ere rer"%e**e' !*ing /SL 'e#a!t "ti"n*F $"ti"n %"rre%ti"n &a*
aie' !*ing rigi' "'( regi*trati"n t" the %entra v"!$e; Ha!**ian *atia
*$""thing &a* aie' &ith a #! &i'th ha# $a4i$!$ "# >$$ rain $atter &a*
*eg$ente' #r"$ n"n5rain !*ing a $e*h 'e#"r$ati"n ar"a%h> high a** te$"ra
#itering &a* aie' !*ing a Ha!**ian5&eighte' r!nning ine* #iter+ &ith a :'B %!t5
"## "# 100*
'odel estimation
A genera inear $"'e &a* #it in re5&hitene' 'ata *a%e t" a%%"!nt #"r
a!t"%"rreati"n in the /MRI re*i'!a*8K The #""&ing regre**"r* &ere in%!'e' in
the $"'e *ee $ain te4t8F $E+&$E< ti$e* &hen the *!6e%t* &ere $a,ing the
'e%i*i"n*+ e#"re the( $a,e a re*"n*e &2TE"3%L< ti$e* et&een $a,ing a
re*"n*e an' the tr!e "!t%"$e eing 'i*a(e' M42&T4"< : *e%"n' eri"' a#ter
the "!t%"$e ha* een 'i*a(e' "n the *%reen $E+&$E'34L%T&L&T7< 'e%i*i"n
ha*e $"'!ate' ( the v"atiit( e*ti$ate at ea%h tria
&2TE"3%L'34L%T&L&T7< interva ha*e $"'!ate' ( the v"atiit( e*ti$ate at
ea%h tria M42&T4"'34L%T&L&T7< $"nit"r ha*e $"'!ate' ( the v"atiit(
e*ti$ate at ea%h tria E""4"< $"nit"r ha*e "n tria* &hen the *!6e%t %h"*e the
in%"rre%t "ti"n N"te+ #"r a v"atiit( intera%ti"n*+ the $"*t i,e(+ "r modal
va!e &a* !*e' #r"$ the "*teri"r 'i*tri!ti"n "n v"atiit( at ea%h tria
The*e regre**"r* &ere %"nv"ve' &ith the /SL 'e#a!t hae$"'(na$i% re*"n*e
#!n%ti"n Ha$$a #!n%ti"n+ 'ea(YK*+ *tan'ar' 'eviati"n Y:*8+ an' #itere' ( the
*a$e high a** #iter a* the 'ata
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Field %nhomogeneity correction.
EPI 'i*t"rti"n* '!e t" $agneti% #ie' inh"$"geneit( &ere %"rre%te' !*ing the
a%@!ire' #ie'5$a* /ie'5$a* &ere !n&rae' !*ing a %"$$"n5ha*e regi"n
e4an*i"n ar"a%h7+ an' the ara$eter an' varian%e e*ti$ate* #r"$ the $"'e &ere
*atia( *hi#te' a%%"r'ing t" the "%a #ie'
8rou# data #rocessing.
S!6e%t* &ere aigne' t" the MNI1>2 te$ate !*ing a##ine regi*trati"n= A
genera inear $"'e &a* #it t" e*ti$ate the gr"! $ean e##e%t "# the regre**"r*
'e*%rie' a"ve9
%nference: 'ain effects.
/"r the $ain e##e%t* "# $E+&$E an' M42&T4"+ &hi%h &ere e4e%te' t"
have &i'e*rea' a%tivati"n* thr"!gh"!t the rain+ in#eren%e &a* %arrie' "!t !*ing
Ha!**ian ran'"$ #ie' the"r( an' %!*ter5a*e' thre*h"'ing10+ &ith a %!*ter5#"r$ing
thre*h"' "# Y2= an' a #a$i(5&i*e #a*e "*itive rate "# Y00> C!*ter* *!rviving
thre*h"'ing %an e #"!n' in tae 1
%nference: %nteraction effects.
The intera%ti"n et&een $"nit"ring an' v"atiit( &ere e4e%te' t" in'!%e
$"re #"%a a%tivati"n* than the $ain e##e%t* 'e*%rie' a"ve+ an' there#"re n"t t" e
*!itae #"r %!*ter5a*e' thre*h"'ing The( &ere a*" e4e%te' t" ie &ithin the
regi"n "# the anteri"r %ing!ate %"rte4 ACC8 /"r thi* rea*"n+ in#eren%e #"r thi*
intera%ti"n &a* %arrie' "!t !*ing Ha!**ian ran'"$ #ie'5a*e' v"4e5&i*e
thre*h"'ing+ &ith a *$a v"!$e %"rre%ti"n in the regi"n "# the ACC :=00 v"4e*8
Thi* gave a 5thre*h"' "# :> A regi"n "# ;2 v"4e* in the Anteri"r Cing!ate
C"rte4 *!rvive' thi* thre*h"' $a4 Y;2:+ at MNI 4Y5K+(Y2K+Y:; $$8 N"te
that+ a* re'i%te' n" regi"n in the rain "!t*i'e the Anteri"r Cing!ate C"rte4 &"!'
have *!rvive' at thi* thre*h"' eve /"r !r"*e* "# 'i*a(+ $ain #ig!re : i*
ren'ere' &ith a 5thre*h"' "# :1 1K: v"4e* in the ACC *!rvive' at thi* thre*h"'
eve8
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Regi"n "# intere*t ana(*e*
-e er#"r$e' *evera regi"n "# intere*t ana(*e* "n 'ata ta,e #r"$ the regi"n "#
a%tivati"n in the ACC The*e ana(*e* &ere er#"r$e' in "r'er t" e4a$ine the nat!re
"# the BOL *igna #!%t!ati"n*+ an' t" e4%!'e the "**iiit( that the*e #!%t!ati"n*
%"!' e a%%"!nte' #"r ( *evera "tentia %"n#"!n'ing regre**"r*
-e t"", BOL 'ata in ea%h *!6e%t #r"$ a $a*, a%,5r"6e%te' #r"$ the
gr"! ACC a%tivati"n in the MONITOR4VOLATILIT regre**"r -e *earate'
ea%h *!6e%t?* ti$e*erie* int" ea%h tria+ an' re*a$e' ea%h tria t" a '!rati"n "#
20*+ *!%h that the 'e%i*i"n &a* re*ente' at 0*+ the re*"n*e &a* a"&e' at K* an'
the "!t%"$e &a* re*ente' #r"$ 12*51>* The re*a$ing re*"!ti"n &a* 100$*
-e then er#"r$e' a HLM a%r"** tria* at ever( tria ti$e"int in ea%h *!6e%t
in'een'ent( La*t(+ &e %a%!ate' the gr"! average e##e%t *ie* at ea%h ti$e"int+
an' their *tan'ar' err"r* The grah* in $ain #ig!re* ; an' >+ an' *!e$entar(
#ig!re 1 there#"re *h"& a ti$e*erie* "# e##e%t *ie* thr"!gh"!t the tria+ #"r the
regre**"r "# intere*t v"atiit(8
S!e$entar( #ig!re 1 *h"&* the e##e%t "# v"atiit( "n the BOL *igna *earate'
"!t #"r a8 err"r an' re&ar'e' tria* an' 8 *&it%h an' *ta( tria* It %an e *een that
the e##e%t "# v"atiit( i* re*ent in'een'ent "# &hether the tria in @!e*ti"n &a*
re&ar'e'+ an' in'een'ent "# &hether the *!6e%t ha' *&it%he' re*"n*e "n the tria
in @!e*ti"n N"ti%e that in #ig!re 1 an' $ain #ig!re* ;+> the e##e%t "# v"atiit( i*
i$ite' t" the eri"' &hen the *!6e%t i* "*erving the "!t%"$e "# the tria Thi* i* the
%r!%ia eri"' &hen the *!6e%t $!*t !*e their e*ti$ate' v"atiit(+ an' there#"re
!n%ertaint(+ in !'ating their e*ti$ate "# the #!t!re re&ar' i,eih""'
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4ther signals of interest generated by the model.
-e er#"r$e' a *e%"n' ana(*i* "",ing #"r the e##e%t* "# a 'i##erent #"r$ "#
!n%ertaint( the r"aiit( that a tria &"!' e re&ar'e'8 t" %"ntra*t &ith the e##e%t
"# v"atiit( &e ha' area'( #"!n' The %r!%ia ti$e #"r thi* #"r$ "# !n%ertaint( i*
the INTERVAL ha*e &hen the *!6e%t i* a&aiting the "!t%"$e "# the tria Thi* ne&
ana(*i* #""&e' the *a$e r"%e'!re 'e*%rie' a"ve
-hie "!r "rigina e4eri$ent &a* %are#!( 'e*igne' t" %"ntr" #"r an(
"**ie %"n#"!n'ing e##e%t "# v"atiit(+ &e &ere n"t ae t" %"ntr" #"r "**ie
%"n#"!n'ing e##e%t* et&een "ther ara$eter* in "!r $"'e In thi* ana(*i* &e
there#"re in%!'e' "ther regre**"r* that $a( %"n#"!n' &ith re&ar' r"aiit( -e
a*" in%!'e' a re'i%ti"n err"r regre**"r an' "tentia %"n#"!n'*8+ rea*"ning that
rain regi"n* that %"'e #"r the re'i%te' r"aiit( "# a re&ar' &hen the *!6e%t i*
&aiting #"r an "!t%"$e+ &"!' e i'ea( a%e' t" %"'e #"r the err"r "n thi*
re'i%ti"n &hen the "!t%"$e &a* "*erve'
-e there#"re !*e' the #""&ing regre**"r*F
Three regre**"r* %"'ing the ha*e* "# the e4eri$ent
ECIE+INTERVAL+MONITOR three regre**"r* %"'ing their intera%ti"n &ith
v"atiit( the e*ti$ate' r"aiit( "# a re&ar' "n the %h"*en "ti"n '!ring the
ECIE an' INTERVAL ha*e* the va!e r"aiit( 4 "!t%"$e *ie8 "# the
%h"*en "ti"n '!ring the ECIE an' INTERVAL ha*e* the re'i%ti"n err"r
'!ring the MONITOR ha*e the a%t!a re&ar' "taine' '!ring the MONITOR
ha*e
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-e #ir*t n"te that+ a* re'i%te' ( the ROI ana(*i* re*ente' in the $ain
$an!*%rit+ the e##e%t "# v"atiit( &a* !n%hange' ( the in%!*i"n "# the e4tra
regre**"r*
The "n( ne& regre**"r* t" have *igni#i%ant a%tivati"n* either at v"4e5&i*e "r %!*ter
%"rre%te' eve* &ereF
18 The ^va!e_ regre**"r* '!ring the ECIE ha*e *h"&e' *igni#i%ant %!*ter* inF
The ventr"5$e'ia re#r"nta %"rte4 $a4 Y;7;8+ the "*teri"r %ing!ate %"rte4
$a4 Y;;:8+ the e#t "*teri"r in*!ar $a4 Y;=8+ the *!ra$argina g(r!*+
iatera( $a4 Y;28+ the $i''e te$"ra g(r!* iatera( $a4 Y:9>8 an' the
*!eri"r "%%iita "e iatera( $a4 Y:=8 The*e a%tivati"n* %an e *een in
#ig!re S2
28 The ^va!e_ regre**"r '!ring the re'i%ti"n ha*e *h"&* *igni#i%ant e##e%t* in
vari"!* vi*!a an' attenti"n reate' area* in the "%%iita an' arieta "e* -e '" n"t
'etai the*e in'ivi'!a( here
:8 The err"r tria regre**"r *h"&* a *igni#i%ant e##e%t at the SMAGreSMA "!n'ar(
$a4 Y:K+ MNI 4Y5;+(Y0+Y>28
3"&ever+ e%a!*e "# the #ir$ h("the*e* a"!t the %"'ing "# re&ar' r"aiit( in
/i"ri" et a 200:+ &e "",e' #"r the re&ar'5re'i%ti"n *igna '!ring the
INTERVAL ha*e in the '"a$inergi% VTA at a "&er thre*h"' `001
!n%"rre%te'+ 2:8 + an' #"!n' a *igni#i%ant e##e%t $ain #ig!re K8
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-e #!rther rea*"ne' that the *a$e regi"n* that %"'e' the re&ar' re'i%ti"n *igna
'!ring the INTERVAL ha*e+ &"!' e i'ea( "*iti"ne' t" %"'e #"r the re'i%ti"n
err"r *igna '!ring the MONITOR ha*e Thi* &a* the %a*e at the *a$e thre*h"'+
#ig!re S28
The ACC regi"n that %"'e* #"r the v"atiit(5reate' !n%ertaint( *h"&e' n" *igna
reating t" the %"ntra*ting #"r$ "# !n%ertaint(F the r"aiit( "# an "!t%"$e
'!ring the re'i%ti"n ha*e Y0K8
%##endi'
Beta 'i*tri!ti"n
The *tan'ar' #"r$ "# the eta 'i*tri!ti"n i* ara$eteri*e' a* #""&*F
Z 1 . 1
b.+Z8Y
[I Z81 8 [I8[Z8
0 c c 1
Thi* #!n%ti"n i* vai' #"r 4 et&een 0 an' 1+ an' ha* a $ean at d Y
The c
*harne** "# the 'i*tri!ti"n i* 'e#ine' ( the e##e%tive n!$er "# *a$e* 'ra&n
#r"$ a in"$ia 'i*tri!ti"n+ % Y c Thi* %an e ea*i( interrete' in ter$* "#
e*ti$ating the r"aiit( "# thr"&ing a hea' #r"$ a n!$er "# %"in t"**e* The $ean
i* the n!$er "# hea'* 'ivi'e' ( the n!$er "# t"**e*+ the *harne** "r %ertaint(8
"#
the 'i*tri!ti"n i* the n!$er "# t"**e*
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-e reara$eteri*e thi* 'i*tri!ti"n in ter$* "# the e4e%te' re&ar' rate an'
the v"atiit(
r] Yd Y
[
c
v Y "g% 8 Y "g c8
A%tivate' %!*ter* #"r $ain e##e%t* "# ECIE an' MONITOR+ 4+(+ are the MNI1>2
*a%e "%ati"n* "# "%a $a4i$a in the 5*tati*ti%
$E+&$E
C!*ter *ie
V"4e*8
Brain regi"n 4 $$8 ( $$8 $$8 5*%"re
1;=22
Striate an'
e4tra*triat
e vi*!a
%"rte4
:=
5;;
2=
2K
5==
572
59K
590
512
512
52
5=
K09
>9:
>=;
>=;
/!*i#"r$
g(r!*
:;
5;;
5;;
5K2
520
51=
>79
;9
Ceree!$ 5:K 5>0 5:; K29
:=1;
S!eri"r
te$"r
a
K0
KK
5;0
5;K
20
1K
>11
;77
8/12/2019 Learning the value of information in an uncertain world
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In*!ar
C"rte4
;K 12 5; >1
/r"nta
Oer%!!$
;2
:=
;2
1=
20
1=
5;
51;
5=
>07
;97
;9K
:2>0
Anteri"r
Cing!ate
C"rte4
K
;
2
5=
20
1K
5=
5=
2K
:0
;=
>2
>71
>2
;9;
;=7
Pre5SMA
SMA
2
;
0
K
1K
5=
K0
>K
K=
>17
>1;
:97
22:> In*!ar%"rte4 5;;
5:=
5:;
5:2
5;
52
1=
1;
2
K
K
10
;=7
;7K
;7;
;K7
/r"nta
Oer%!ar
C"rte4
5;K
52=
=
2;
0
0
;77
;=
H"!*
ai'!*
520
1=
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0
52
52
;1=
:9
2209 Parieta
"er%!!$
5>;
5;=
5>K
52;
52K
522
1;
12
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;:1
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Intraarieta
*!%!*
P"*t5%entra
S!%!*
5:0
5:;
5:=
5>K
5>;
5:;
>2
>;
;2
;;7
;;;
;:K
117: STN =
5=
522
51=
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hi"%a$!*
2; 5:; 5K ;7
Centr"$e'ian
thaa$!*
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2
0
;K;
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:;
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>;
2K
2;
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;K9
;;
;1;
;>> "r*"atera
re#r"nt
a
5:;
5:2
;K
>K
2;
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;=:
;>:
2=; P"*teri"r
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te
K 52; 2K ;19
1;0 Parieta
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;= 52; 1K ;0K
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M42&T4"
C!*ter *ie
V"4e*8
Brain regi"n 4 $$8 ( $$8 $$8 5*%"re
:;K09 Parahi"%a$a
H(r!*
20 5;= 51; K1:
Striate an'
e4tra*triate
vi*!a an'%"rte4
;K
5;
1=
520
570
572
57;
572
0
K
510
510
K09
K09
>9;
>92
Intraarieta
*!%!*
:K
;2
K
=
5:K
5>2
5>2
5KK
5;K
5>;
>;
;0
;=
;;
>;
>;:
;9>
>12
;11
;=7
S!eri"r
te$"ra *!%!*
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Ventra *triat!$ 510
1K
K
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5=
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:;
Mi'rain 10 520 510 :9>
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thaa$!*
12 522 12 ;2
3i"%a$!* 22
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>;>
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"r*"atera
re#r"nta
>2
>0
1;
:K
:;
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>2>
;;>
17;K Anteri"r
%ing!ate %"rte4
5;
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;
:;
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SMAG*!eri
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>;= /r"nta
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52=
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;=
In*!ar %"rte4 5:2 1; 510 ;=
;17 Parieta
"er%!!$
5>= 51; 2= ;;>
Ventrare$"t"r 5>; 2 ;2 :>9
2>9 P"*teri"r
%ing!ate %"rte4
= 5:K 2; ;;1
:>K S!eri"r
te$"ra *!%!*
5>K 5>0 = :>:
Re#eren%e*
1 C"4+ R T Pr"aiit(+ #re@!en%(+ an' rea*"nae e4e%tai"n A$ )"!r Ph(*1;+ 151: 19;K8
2 ei%h$ann+ R+ H"tt#rie'+ ) A+ 3!tt"n+ C . T!rner+ R Oti$ie' EPI #"r
#MRI *t!'ie* "# the "rit"#r"nta %"rte4 Ne!r"i$age 19+ ;:05;1 200:8
8/12/2019 Learning the value of information in an uncertain world
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: S$ith+ S M et a A'van%e* in #!n%ti"na an' *tr!%t!ra MR i$age ana(*i*an' i$e$entati"n a* /SL Ne!r"i$age 2: S! 1+ S20=519 200;8
; )en,in*"n+ M+ Banni*ter+ P+ Bra'(+ M . S$ith+ S I$r"ve' "ti$iati"n#"r the r"!*t an' a%%!rate inear regi*trati"n an' $"ti"n %"rre%ti"n "# raini$age* Ne!r"i$age 17+ =2>5;1 20028
> S$ith+ S M /a*t r"!*t a!t"$ate' rain e4tra%ti"n 3!$ Brain Ma 17+1;:5>> 20028
K -""ri%h+ M -+ Rie(+ B + Bra'(+ M . S$ith+ S M Te$"ra
a!t"%"rreati"n in !nivariate inear $"'eing "# /MRI 'ata Ne!r"i$age 1;+1:705=K 20018
7 )en,in*"n+ M /a*t+ a!t"$ate'+ N5'i$en*i"na ha*e5!n&raing ag"rith$Magn Re*"n Me' ;9+ 19:57 200:8
= )en,in*"n+ M . S$ith+ S A g"a "ti$i*ati"n $eth"' #"r r"!*t a##ineregi*trati"n "# rain i$age* Me' I$age Ana >+ 1;:5>K 20018
9 -""ri%h+ M -+ Behren*+ T E+ Be%,$ann+ C /+ )en,in*"n+ M . S$ith+ SM M!tieve inear $"'eing #"r /MRI gr"! ana(*i* !*ing Ba(e*ian
in#eren%e Ne!r"i$age 21+ 17:25;7 200;810 -"r*e(+ )+ Evan*+ A C+ Marrett+ S . Neein+ P A three5'i$en*i"na
*tati*ti%a ana(*i* #"r CB/ a%tivati"n *t!'ie* in h!$an rain ) Cere B""'/"& Meta 12+ 90051= 19928
11 !+ A ) . a(an+ P Un%ertaint(+ ne!r"$"'!ati"n+ an' attenti"n Ne!r"n;K+ K=1592 200>8