25
Organizing committee !"#$%& ()"þ*) + ,-( ./01&*" 2"113*"0 4%135%+ 6,7 8 29, (:;*<5%< =>"? -@3<%*?A"<+ B%*CA"<< ,<01*1/1% DE -@*%<@% !"#$"%&"' )*+,- ,.+, /012$"'3"4&4'5- 642$'78 9$$#:;;72$<8=<8$;2=3",.+, !"321'> ?1@735 A B8$4'80 C3D7'13%"3$ ,.+, E'15'8% &11F0"$

!321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

Page 1: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Organizing committee

!"#$%&'()" *)+'',-('./01&*"'2"113*"0'4%135%+''6,7'8'29,'(:;*<5%<'=>"?'-@3<%*?A"<+''B%*CA"<<',<01*1/1%'DE'-@*%<@%

'

!"#$"%&"'( )*+,-( ,.+,/012$"'3"4&4'5-( 642$'78

9$$#:;;72$<8=<8$;2=3",.+,

!"321'>(?1@735((((A(B8$4'80(C3D7'13%"3$

,.+,

E'15'8%(&11F0"$

Page 2: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

.....................................................Welcome! 4

.................................Conference program! 5

.................................Poster presentations! 9

......................................Local information! 12

......................................About IST Austria ! 20

........................................List of attendees! 21

2

Page 3: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

3

Page 4: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

WelcomeHow does the brain process complex signals from the natural environment? What statistical properties characterize these signals, and how do they shape the structure and function of sensory neural circuits? How is sensory processing influenced by the active and goal-directed nature of information gathering carried out by living organisms, as opposed to passive reception often discussed in theoretical or engineering context?

The goal of this meeting is to examine such questions and ask how understanding natural signals can help us understand sensory processing and perception. This can lead to novel experimental setups which mimic the real environments and stimuli yet are nevertheless well-controlled, as well as to theoretical predictions about neural circuits and coding that can be checked experimentally.

Sensory Coding & Natural Environment has been a successful conference series organized since 2002, with the last meeting held in Maine in 2010. This interdisciplinary meeting has drawn together scientists at the interface of neuroscience, physics, engineering, psychology and machine learning. In addition to the interdisciplinary emphasis and the focus on searching for principles that extend across a range of sensory modalities and organisms, one of the strong points of the meeting has been to allow ample time for informal discussions. We hope that the 2012 meeting at IST Austria will also build on these strengths.

Gasper Tkacik, IST AustriaMatthias Bethge, CIN & MPI TuebingenElad Scnheidman, Weizmann Institute

Sponsors and financial support

4

Page 5: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Conference program• Lectures will take place in the Raiffeisen Lecture Hall (main lecture hall) in the

Central Building.• Lunch and dinner will take place in the Central Building Lobby and the IST

Pub.• Poster sessions will take place in the Mondi lecture room corridor in the

Central Building (see Campus Map).

Sunday, Sept. 9 2012 - Registration / OPENING LECTURES

17:00-18:00 Registration

18:00-19:00 Light dinner

19:00-19:30 Welcome

19:30-20:30 Axel BORST, MPI NeurobiologyGenetic dissection of the fly visual course control system

20:30-21:30 Gilles LAURENT, MPI Brain ResearchCircuits and learning rules for olfactory learning with sparse representations

21:30-23:00 Open bar at IST Pub

Departure public bus 239 to Klosterneuburg & Heiligenstadt: 21:08, 22:08, 23:08, 00:08

5

Page 6: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Monday, Sept. 10 2012 - VISION

08:35-08:45 Arrival bus / shuttle

09:00-10:00 William BIALEK, Princeton UniversityBirds, Brains, and B-cells

10:00-10:30 Coffee break

10:30-11:30 Bruno OLSHAUSEN, UC BerkeleyLearning intermediate-level representations of form and motion from natural movies

11:30-12:00 Rob de Ruyter VAN STEVENINCK, Indiana UniversityAdaptive processing of natural visual signals in the blowfly

12:00-12:30 Cyril MONIER, CNRS Gif-sur-YvetteMultiscale study of the reliability of visually evoked cortical dynamics and its dependency on input statistics

12:30-13:30 Lunch

13:30-16:00 Free time

16:00-18:00 Poster session 1 (posters 1-16), refreshments

(16:30-17:30) IST Colloquium: Uri ALON, Weizmann Institute

18:00-19:30 Dinner

19:30-20:30 Jonathan VICTOR, Weill Cornell Medical CollegeHow high-order image statistics shape cortical visual processing

20:30-21:30 David BRAINARD, University of PennsylvaniaDecoding the human cone mosaic

21:38- Departure public bus 239 to Klosterneuburg & Heiligenstadt: 21:38, 22:08, 22:38, 23:08, 23:38, 00:08

We gratefully acknowledge BCCN Tuebingen for supporting the Vision day of SCNE 2012.

6

Page 7: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Tuesday, Sept. 11 2012 - MOTION AND NAVIGATION

08:35-08:45 Arrival bus / shuttle

09:00-10:00 Nachum ULANOVSKY, Weizmann InstituteNeural codes for 2-D and 3-D space in the hippocampal formation of bats

10:00-10:30 Coffee break

10:30-11:30 Michael BLACK, MPI Intelligent SystemsModernizing Muybridge: From 3D models of the body to decoding the brain

11:30-12:00 Andrew STRAW, IMP ViennaDiscriminating external and internal causes for heading changes in freely flying Drosophila

12:00-12:30 Brice BATHELLIER, IMP ViennaDiscrete neocortical dynamics predict behavioral categorization of sounds

12:30-13:30 Lunch

13:30-15:00 Free time

15:00-16:00 Iain COUZIN, Princeton UniversityCollective sensing and decision-making in animal and cellular aggregates

16:00-17:00 Daniel LEE, University of PennsylvaniaOptimal coding for robot perception and navigation

17:00-19:00 Poster session 2 (posters 17-31), refreshments

19:30-22:00 Conference dinner at Gastmeisterei, Klosterneuburg (bus leaves from IST 19:15)

22:15- Departure bus from Gastmeisterei to Parkhotel Klosterneuburg, Marienhof, IST, Heiligenstadt

7

Page 8: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Wednesday, Sept. 12 2012 - AUDITION AND OTHER SENSES

08:35-08:45 Arrival bus / shuttle

09:00-10:00 Michael LEWICKI, Case Western Reserve UniversityScene Analysis in the Natural Environment

10:00-10:30 Coffee break

10:30-11:30 Daniel MARGOLIASH, University of ChicagoVocal production: a new model

11:30-12:00 Timothy GARDNER, Boston UniversityAdaptive time-frequency contours

12:00-12:30 Thierry EMONET, Yale UniversityOlfactory receptor neurons encode odor-specific dynamics independently of intensity

12:30-13:30 Lunch

13:30-16:00 Free time

16:00-18:00 Poster session 3 (posters 32-46), refreshments

(16:30-18:00) IST Public Lecture: Arnold LEVINE, IAS PrincetonHow does Influenza virus escape the immune system?

(18:00-18:30) IST Public Lecture reception

18:30-19:30 Dinner

19:30-20:30 Dora ANGELAKI, Baylor College of MedicineCanonical computations for multisensory motion processing

20:30-21:30 David KLEINFELD, UC San DiegoMotor control of active sensing: Lessons from the vibrissa sensorimotor system

21:38- Departure public bus 239 to Klosterneuburg & Heiligenstadt: 21:38, 22:08, 22:38, 23:08, 23:38, 00:08

8

Page 9: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Poster presentations1 IGARASHI Yasuhiko Higher order correlation in a feedforward network

with lateral inhibition

2 GERHARD Holly How Sensitive Is the Visual System to the Local Statistics of Natural Images?

3 MLYNARSKI Wiktor Efficient Coding of Binaural Sound

4 MAY Keith Motion adaptation from static binocular images: a surprising prediction of efficient coding theory

5 ESMAEILI Vahid Parametric Working Memory in Rats

6 SUSEMIHL Alex Dynamic Stimulus Reconstruction from Noisy Spike Trains

7 F. BUJAN Alejandro Stimulus induced dynamic modulation of correlations in neuronal networks

8 THEIS Lucas Mixtures of conditional Gaussian scale mixtures: the best model for natural images

9 ZORAN Daniel Unconstrained Gaussian mixture models: the best models for natural image statistics?

10 BOHTE Sander Efficient Adaptive Spike-­Coding in a Spike Response Model

11 SAVIN Cristina Similarity between spontaneous and sensory-evoked activity does suggest learning in the cortex

12 LIES Jörn-Philipp

What is the goal of complex cell coding in V1?

13 STROUSE Daniel J Behaviorally-locked structure in a sensory neural code

14 GANMOR Elad Neural adaptation at the population level

15 NASSER Hassan Spatio-Temporal modeling of large-scale retinal networks using Montecarlo principle

9

Page 10: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

16 FISCHER Elvira Human areas V3A and V6 compensate for self-induced planar visual motion

17 KASCHUBE Matthias Small noise correlations suggest a dominant role of recurrent connections in visual cortical motion processing

18 S N BRITO Carlos Gabors are too easy: predicting V1 models’ receptive field development and designing new ones

19 UJFALUSSY Balazs Nonlinear dendrites are matched to input statistics

20 TERASHIMA Hiroki Both ordered retinotopy and disordered tonotopy emerge from natural stimulus statistics

21 HANSARD Miles Geometric probability of binocular correspondence in a Poisson scene

22 PALMER Stephanie A new movie database of natural motion

23 SCHROEDER Sylvia Neighbouring neurons in cat V1 have weak signal correlations for both artificial and natural stimuli

24 NG Benedict Low-frequency oscillatory phase hinders auditory perception in a complex acoustic environment

25 MACKE Jakob How biased are maximum entropy models

26 STOWERS John Panoramic, closed‐loop visual virtual reality for freely moving and restrained animals

27 MARRE Olivier Precise decoding of dynamical motion from a large retinal population

28 SCHWARZ Cornelius Rat vibrissal primary afferents exhibit multiple preferred stimuli and very high information rates

29 SMITHSON Hannah Adaptation to hue-circle modulations: probing the encoding of colour beyond the cardinal opponent mechanisms

30 KARKLIN Yan Hierarchical spike coding of sound

10

Page 11: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

31 ARSENAULT Elizabeth Segmentation of boundaries defined by natural and naturalistic textures

32 HOSOYA Haruo Recovering V2 receptive fields by Bayesian spike-triggered analysis

33 FARKHOOI Farzad Neuronal doctrine of sensory processing: Adaptive Networks

34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images

35 SINZ Fabian Temporal adaptation enhances efficient contrast gain control on natural images

36 THEIS Lucas Beyond GLMs: a generative mixture modeling approach to neural system identification

37 ZABIHI Maryam Investigation of Low frequency drift in fMRI signal

38 KOESTER Urs Modeling Higher Order Structure in Laminar Recordings from Primary Visual Cortex

39 GROEN Iris Man-made or natural? From image statistics to scene gist via single-trial EEG responses

40 UCPUNAR Habibe Regulation of CO2 Receptor Neuron Formation and Targeting in the Mosquito, A.gambiae

41 MACNEILAGE Paul Natural statistics of vestibular stimulation during human locomotion

42 SABATINI Silvio Binocular vision statistics in the peripersonal space: the active observer perspective

43 PORTELLI Geoffrey Rate and latency coding for natural image identification

44 TALEBI Vargha System identification with natural image stimuli reveals different categories of spatiotemporal receptive fields in visual cortex neurons

45 BRETTE Romain The ecological approach to neural computation

46 SAVIN Cristina Learning sensory representations from rate or temporally encoded inputs

11

Page 12: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Local informationImportant contact informationIST Austria, Am Campus 1, A-3400 Klosterneuburg, phone: +43 2243 9000Marie TRAPPL, [email protected], phone: +43 650 7070 808Gasper TKACIK, [email protected], phone: +43 664 8868 7644

Transport to and from Klosterneuburg / Heiligenstadt (Vienna subway U4)• Special SCNE bus. Once a day, morning Mon-Wed, departure at 8:10

Heiligenstadt (Vienna U4 subway), stopping at Parkhotel Klosterneuburg at approx. 8:20, to IST Austria. Free.

• IST Shuttle (Bus 242), stops at IST Austria, Klosterneuburg Stadtplatz, and Heiligenstadt (Vienna U4 subway). Free for participants. Mon-Fri ONLY! See attached schedule, page 18).• Departs 8:12, 9:12, ..., 20:12 (1x hourly) from Heiligenstadt to IST• Departs 8:26, 9:26, ..., 20:26 (1x hourly) from Klosterneuburg Stadtplatz to

IST• Departs 8:49, 9:49, ..., 20:49 (1x hourly) from IST Austria

• Bus 239 (Note: check direction, it needs to say GUGGING if going to IST!), Mon-Fri, see page 18 for weekly schedule (Sat/Sun reduced schedule). 2 EUR one way, payable on the bus in cash.

• For detailed schedules, please check out information on http://ist.ac.at/scne2012/information-and-directions/

Transport in Vienna• Vienna has an efficient public transport consisting of subway (U-Bahn), trams

(Strassenbahn) and busses. A single type of ticket is valid on all means of transport except for the airport (CAT) train. Tickets are bought at the ticket machines and need to be validated by stamping them at small blue boxes at the entry to the subway. Subway map is attached on page 19.

• For going to the airport, you can either take a cab from IST (see “Taxis”, below; approx 45 minutes-1 hour), or go by public transport to U4 Heiligenstadt, take U4 line to the stop Landstrasse-Wien Mitte, and a direct CAT airport train to the airport (together approx 1 hour); connections are shown on the schedule on the next page.

• For details and further info on going to the VIE airport, see http://ist.ac.at/scne2012/information-and-directions/.

12

Page 13: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

TaxisIt is possible to take a cab from IST to Heiligenstadt (U4 stop), Vienna downtown or the airport (best to have cash ready, ATM is in the institute lobby):

• Taxi Danzinger (http://www.taxi-danzinger.at/, +43 2243 202 20, +43 676 666 50 70, about 55 EUR to the airport)

• Taxi Glueck (http://www.konlechner.at/glueck/, +43 2243 361 11, +43 664 224 88 20, about 55 EUR to the airport)

• ask at the IST Reception for help with other transport optionsYou can take a cab from the airport directly to IST, but be sure to have the full address of the Institute at hand (IST Austria, Am Campus 1, 3400 Maria Gugging-Klosterneuburg). If their GPS does not have this new address yet, try Hauptstrasse 2, 3400 Maria Gugging-Klosterneuburg.

Around IST (see Local Map, page 16)

The area around the IST offers a variety of leisurely activities. You can walk along the Danube, or hike through the forests of the Buchberg and reward yourself with an unforgettable panoramic view of Klosterneuburg.

• BILLA convenience store, open Mon-Fri 7:15-19:30, Sat 7:15-18:00.

• Redlinger Hütte, http://www.redlingerhuette.at/, a very nice, 15-minute walk through the woods from IST Austria, following the gravel road, varied daily menu available, nice outside seating for discussions

• Museum Gugging, http://www.gugging.org/, (Am Campus 2, A-3400 Klosterneuburg), <5 minute walk from IST Austria, warmly recommended.

In and around Klosterneuburg (see Klosterneuburg Map, page 17)

In the Heurigen which originally only sold wine of the year’s vintage, the owners attempt to spoil guests with their homemade products such as bread and cheese. Such restaurants are located mostly on the Angesstraße in the city center.

You can find a list of recommended restaurants below.

13

Page 14: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Restaurant  Hotel  Anker  Niedermarkt  5Tel.:  +43/2243/32134Hot  meals  from  10.00  –  23.00www.hotel-­‐anker.at  

Cafe-­‐Restaurant  Veit  Niedermarkt  13-­‐15Tel.:  +43/2243/32072-­‐14Opening  hours:  7.30  –23.00,  Wed  closedhHp://www.cafe-­‐veit.at

Restaurant  StadtbeislHoJirchnergasse  15Tel.:+43/2243/32454Opening  hours:  Tues  -­‐  Sat  11.00  –  14.00,  18.00  –  22.00,  Sun  11.00  –  14.00

Casa  VecchiaAlbrechtstraße  43Tel.:  +43/2243/21807Opening  hours:  Mon  –  Fri  17.00  –  24.00Sat,  Sun  11.00  –  24.00

Gastmeisterei  im  S;<  KlosterneuburgAlbrechtsbergerg.  1Tel.:  +43/2243/20801Opening  hours:  Tues  -­‐  Sat  11.00  to  24.00,  Sun  11.00  to  15.00www.gastmeisterei.at

Café  Lounge  &  Restaurant  GronauBuchberggasse  27Tel.:  +43/2243/23000Opening  hours:  Tues  –  Sat  10.30  to  22.00,  Sun  10.30  to  21.00  www.gronau.at  

 

TraCoria  Castel  Nuovo  Weidlingerstr.  39Tel.:  +43/2243/20610Kitchen  open  from  11.30  to  23.00,  Mondays  closedwww.castelnuovo.at

 

Café-­‐Restaurant  Hollerei  im  Essl  Museum  An  der  Donau-­‐Au  1Tel  +43/2243/37050260  Kitchen  open  Wed  10.00  to  21.00,  Tues  -­‐  Sun  10.00  to  18.00,  Mon  closedwww.hollerei.at

Next to the Parkhotel in Klosterneuburg, you find the Happyland sports center which offers a pool, tennis, sauna and nine-pins bowling.

The monastery Stift Klosterneuburg is probably the most famous building in Klosterneuburg. You can visit the monastery and the world-known Verdun Altar every day between 10 am and 5 pm (address: Stiftsplatz 1).

Located along the main road to Vienna from Klosterneuburg is the Essl museum. Built in 1999 and dedicated to contemporary art, its current exhibitions contain the works of art by Franz Zadrazil and Cecily Brown (An der Donau 1, Tue-Sun: 10:00-18:00, Wed: 10:00-21:00, closed on Monday). You can get there on foot from Klosterneuburg or by every public bus going to Vienna.

14

Page 15: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

On Sunday, September 9 you can visit the 7. wine culture day at the Stift Klosterneuburg. There you can learn about wine is produced in Austria (open 12:00-18:00).

Events in Vienna

There is too many events, exhibitions and culinary opportunities in Vienna to list here; check out www.wien.info for one of the online listings. Be sure to stop at one of the famous Viennese cafes and pastry shops (Demel, Central, Landtmann, Schwartzenberg, Diglas, Hawelka, Sacher Hotel, ...) if you visit the city.

This year the famous painter Gustav Klimt would have celebrated his 150th birthday. Due to his life-long relationship with Vienna the city hosts special exhibitions in the baroque Belvedere as well as the Leopold museum.

If you are interested in classical music you can visit the Musikverein in Vienna or listen to the Vienna Philharmonic orchestra at the Theater an der Wien.

15

Page 16: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

16

Local map of IST Campus, with SCNE 2012 conference site (ground floor of the Central Building), the bus stop, a convenience store (BILLA),

the path to the Redlinger hut, and the Gugging museum.

Page 17: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

17

Map of the city of Klosterneuburg.

to IST

to Vienna

Page 18: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

IST

Aust

ria S

huttl

e Bu

s 24

2: H

eilig

enst

adt -

Klo

ster

neub

urg

Kier

ling

- Mar

ia G

uggi

ng/IS

T Au

stria

(H

ourly

from

MO

- FR

on

wor

king

day

s)e]

08:1

801

:00

02:0

003

:00

04:0

005

:00

06:0

0CA

T de

partu

re fr

om V

IE A

irpor

t06

:05

07:0

507

:35

08:0

508

:35

09:0

509

:35

10:0

510

:35

11:0

511

:35

12:0

512

:35

13:0

513

:35

14:0

514

:35

CA

T ar

rival

at W

ien

Mitt

e 06

:21

07:2

107

:51

08:2

108

:51

09:2

109

:51

10:2

110

:51

11:2

111

:51

12:2

112

:51

13:2

113

:51

14:2

114

:51

U4 d

epar

ture

from

Lan

dstra

ße

U4

Nig

htlin

e U

4 re

gula

r ope

ratio

n st

arts

05:

10 a

.m. a

nd o

pera

tes

at 3

-5 m

inut

e in

terv

als;

Afte

r 08:

00 p

.m. a

t 7-8

min

ute

inte

rval

s; L

ast t

rain

00:

33 a

.m.;

U4

arriv

al a

t Hei

ligen

stad

tun

til 0

5:10

Ove

rall

trave

l tim

e fro

m L

ands

trass

e to

Hei

ligen

stad

t at l

east

18

min

utes

!Bu

s Li

ne23

923

923

9IS

T23

923

9IS

T23

923

9IS

T23

923

9IS

T23

923

9IS

T23

923

9IS

T23

923

9IS

T23

923

9De

partu

re fr

om H

eilig

enst

adt

06:0

007

:30

08:0

008

:12

08:3

009

:00

09:1

209

:30

10:0

010

:12

10:3

011

:00

11:1

211

:30

12:0

012

:12

12:3

013

:00

13:1

213

:30

14:0

014

:12

14:3

015

:00

Arri

val a

t Sta

dtpl

atz

Klo

ster

neub

urg

06:1

507

:45

08:1

508

:26

08:4

509

:15

09:2

609

:45

10:1

510

:26

10:4

511

:15

11:2

611

:45

12:1

512

:26

12:4

513

:15

13:2

613

:45

14:1

514

:26

14:4

515

:15

Dep

artu

re fr

om S

tadt

plat

z K

lost

erne

ubur

g06

:17

07:4

708

:17

08:2

608

:47

09:1

709

:26

09:4

710

:17

10:2

610

:47

11:1

711

:26

11:4

712

:17

12:2

612

:47

13:1

713

:26

13:4

714

:17

14:2

614

:47

15:1

7A

rriva

l at M

aria

Gug

ging

/IST

Aus

tria

06:3

008

:00

08:3

008

:34

09:0

009

:30

09:3

410

:00

10:3

010

:34

11:0

011

:30

11:3

412

:00

12:3

012

:34

13:0

013

:30

13:3

414

:00

14:3

014

:34

15:0

015

:30

Bus

Line

239

239

239

IST

239

239

IST

239

239

IST

239

239

IST

239

239

IST

239

239

IST

239

239

IST

239

239

Depa

rture

from

Mar

ia G

uggi

ng/IS

T Au

stria

04:5

808

:12

08:4

208

:49

09:1

209

:42

09:4

910

:12

10:4

210

:49

11:1

211

:42

11:4

912

:12

12:4

212

:49

13:1

213

:42

13:4

914

:12

14:4

214

:49

15:1

215

:42

Arri

val a

t Sta

dtpl

atz

Klo

ster

neub

urg

05:0

908

:27

08:5

708

:57

09:2

709

:57

09:5

710

:27

10:5

710

:57

11:2

711

:57

11:5

712

:27

12:5

712

:57

13:2

713

:57

13:5

714

:27

14:5

714

:57

15:2

715

:57

Dep

artu

re fr

om S

tadt

plat

z K

lost

erne

ubur

g05

:10

08:3

009

:00

08:5

709

:30

10:0

009

:57

10:3

011

:00

10:5

711

:30

12:0

011

:57

12:3

013

:00

12:5

713

:30

14:0

013

:57

14:3

015

:00

14:5

715

:30

16:0

0A

rriva

l Hei

ligen

stad

t 05

:25

08:4

509

:15

09:1

109

:45

10:1

510

:11

10:4

511

:15

11:1

111

:45

12:1

512

:11

12:4

513

:15

13:1

113

:45

14:1

514

:11

14:4

515

:15

15:1

115

:45

16:1

5U4

dep

artu

re fr

om H

eilig

enst

adt

U4 N

ighl

ine

U4

regu

lar o

pera

tion

star

ts 0

4:45

a.m

., op

erat

es a

t 3-5

min

ute

inte

rval

s; A

fter 2

0:00

pm

at 7

-8 m

inut

e in

terv

als;

Las

t tra

in 0

0:15

a.m

.; U

4 ar

rival

at L

ands

traße

until

04:

45O

vera

ll tra

vel t

ime

from

Hei

ligen

stad

t to

Land

stra

sse

at le

ast 1

8 m

inut

es;

CAT

depa

rture

from

Wie

n M

itte

05

:38

09:0

809

:38

10:0

810

:38

11:0

811

:38

12:0

812

:38

13:0

813

:38

14:0

814

:38

15:0

815

:38

16:0

816

:38

CA

T ar

rival

at V

IA

05:5

409

:24

09:5

410

:24

10:5

411

:24

11:5

412

:24

12:5

413

:24

13:5

414

:24

14:5

415

:24

15:5

416

:24

16:5

4

CAT

depa

rture

from

VIE

Airp

ort

15:0

515

:35

16:0

516

:35

17:0

517

:35

18:0

518

:35

19:0

519

:35

20:0

620

:35

23:3

5C

AT

arriv

al a

t Wie

n M

itte

15:2

115

:51

16:2

116

:51

17:2

117

:51

18:2

118

:51

19:2

119

:51

20:2

120

:51

06:2

1U4

dep

artu

re fr

om L

ands

traße

U

4 re

gula

r ope

ratio

n st

arts

05:

10 a

.m. a

nd o

pera

tes

at 3

-5 m

inut

e in

terv

als;

Afte

r 08:

00 p

.m. a

t 7-8

min

ute

inte

rval

s; L

ast t

rain

00:

33 a

.m.;

U4

Nig

htlin

eU

4 ar

rival

at H

eilig

enst

adt

Ove

rall

trave

l tim

e fro

m L

ands

trass

e to

Hei

ligen

stad

t at l

east

18

min

utes

!as

of 0

0:33

Bus

Line

IST

239

239

239

239

IST

239

239

239

239

IST

239

239

239

239

IST

239

239

IST

239

239

IST

239

239

239

Depa

rture

from

Hei

ligen

stad

t 15

:12

15:3

015

:40

16:0

016

:10

16:1

216

:30

16:4

017

:00

17:1

017

:12

17:3

017

:40

18:0

018

:10

18:1

218

:30

19:0

019

:12

19:3

020

:03

20:1

220

:35

21:0

500

:47

Arri

val a

t Sta

dtpl

atz

Klo

ster

neub

urg

15:2

615

:45

15:5

516

:15

16:2

516

:26

16:4

516

:55

17:1

517

:25

17:2

617

:45

17:5

518

:15

18:2

518

:26

18:4

519

:15

19:2

619

:45

20:1

520

:26

20:4

721

:17

00:5

9D

epar

ture

from

Sta

dtpl

atz

Klo

ster

neub

urg

15:2

615

:47

16:0

216

:17

16:3

216

:26

16:4

717

:02

17:1

717

:32

17:2

617

:47

18:0

218

:17

18:3

218

:26

18:4

719

:17

19:2

619

:45

20:1

520

:26

20:4

721

:17

00:5

9A

rriva

l at M

aria

Gug

ging

/IST

Aus

tria

15:3

416

:00

16:1

516

:30

16:4

516

:34

17:0

017

:15

17:3

017

:45

17:3

418

:00

18:1

518

:30

18:4

518

:34

19:0

019

:30

19:3

419

:55

20:2

520

:34

20:5

721

:27

01:0

8

Bus

Line

IST

239

239

239

IST

239

239

239

239

IST

239

239

239

IST

239

239

239

IST

239

239

IST

239

239

239

239

Depa

rture

from

Mar

ia G

uggi

ng/IS

T Au

stria

15:4

916

:12

16:2

516

:42

16:4

916

:55

17:1

217

:25

17:4

217

:49

17:5

518

:12

18:4

218

:49

18:5

419

:12

19:3

519

:49

20:0

520

:38

20:4

921

:08

21:3

822

:08

00:0

8A

rriva

l at S

tadt

plat

z K

lost

erne

ubur

g15

:57

16:2

716

:40

16:5

716

:57

17:1

017

:27

17:4

017

:57

17:5

718

:10

18:2

718

:57

18:5

719

:06

19:2

719

:47

19:5

720

:17

20:5

020

:57

21:2

021

:50

22:2

000

:20

Dep

artu

re fr

om S

tadt

plat

z K

lost

erne

ubur

g15

:57

16:3

016

:40

17:0

016

:57

17:1

017

:30

17:4

018

:00

17:5

718

:10

18:3

018

:58

18:5

719

:13

19:2

819

:47

19:5

720

:17

20:5

020

:57

21:2

021

:50

22:2

000

:20

Arri

val H

eilig

enst

adt

16:1

116

:45

16:5

517

:15

17:1

117

:25

17:4

517

:55

18:1

518

:11

18:2

518

:45

19:1

319

:11

19:2

819

:43

20:0

020

:11

20:3

021

:03

21:1

121

:33

22:0

322

:33

00:3

3U4

dep

artu

re fr

om H

eilig

enst

adt

U4

regu

lar o

pera

tion

star

ts 0

4:45

a.m

., op

erat

es a

t 3-5

min

ute

inte

rval

s; A

fter 2

0:00

pm

at 7

-8 m

inut

e in

terv

als;

Las

t tra

in 0

0:15

a.m

.; U

4 N

ight

line

U4

arriv

al a

t Lan

dstra

ßeO

vera

ll tra

vel t

ime

from

Hei

ligen

stad

t to

Land

stra

sse

at le

ast 1

8 m

inut

es;

as o

f 00:

15CA

T de

partu

re fr

om W

ien

Mitt

e

17:0

817

:38

18:0

818

:38

19:0

819

:38

20:0

820

:38

21:0

821

:38

22:0

822

:38

23:0

8C

AT

arriv

al a

t VIA

17

:24

17:5

418

:24

18:5

419

:24

19:5

420

:24

20:5

421

:24

21:5

422

:24

22:5

423

:24

One

-way

tick

et

Adu

lts (1

6 ye

ars

and

abov

e)E

UR

2,2

0C

hild

ren

(6 y

ears

- co

mpl

eted

age

of 1

5 ye

ars)

EU

R 1

,20

Chi

ldre

n (0

- co

mpl

eted

age

of 6

yea

rs)

FRE

E

One

-way

tick

et

Adu

lts (1

6 ye

ars

and

abov

e)E

UR

1,0

0C

hild

ren

(6 y

ears

- co

mpl

eted

age

of 1

5 ye

ars)

EU

R 0

,50

Chi

ldre

n (0

- co

mpl

eted

age

of 6

yea

rs)

FRE

E

All

men

tione

d tim

e ta

bles

abo

ve a

nd th

e IS

T sh

uttle

bus

pric

es a

re

effe

ctiv

e as

of M

ay 0

1, 2

012

and

can

be w

ithdr

awn

or a

men

ded

anyt

ime

one-

side

d by

the

empl

oyer

with

out s

tatin

g th

e gr

ound

s.

Last

de

partu

re

Chi

ldre

n w

ith a

"Sch

üler

freifa

hrt f

or th

e zo

ne 2

30B

" and

an

IST

Shu

ttle

Bus

Pas

s fo

r Chi

ldre

n ca

n us

e th

e IS

T S

huttl

e B

us fo

r fre

e.

(Fam

ily m

embe

rs a

re: C

hild

ren,

Spo

use

and

partn

ers)

Chi

ldre

n w

ith a

"Sch

üler

freifa

hrt f

or th

e zo

ne 2

30B

" hav

e to

pay

a

surc

harg

e of

EU

R 0

,20

to u

se th

e IS

T S

huttl

e B

us.

Firs

t dep

artu

re

IST

SHUT

TLE

BUS

PRIC

ES (v

alid

as

of M

ay 0

1, 2

012)

IST

SHUT

TLE

BUS

PRIC

ES (v

alid

as

of M

ay 0

1, 2

012)

IST

Shut

tle b

us p

rices

for f

amily

mem

bers

of I

ST A

ustri

a em

ploy

ees:

IST

Shut

tle b

us p

rices

for r

egul

ar p

assa

nger

s:

Last

upd

ate:

02.

07.2

012

18

Page 19: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

19

Die

Stad

t geh

ört

Dir.

ww

w.w

iene

rlini

en.a

t

SCHN

ELLV

ERBI

NDUN

GEN

IN W

IEN

SVP_

affic

he-4

80x4

28_f

inal

_jan

2011

#2.in

dd

113

.01.

11

11:0

8

Page 20: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

About IST AustriaThe Institute of Science and Technology Austria (IST Austria) is a multidisciplinary

research institution dedicated to basic research in the natural, computer and

mathematical sciences. The Institute is located in the city of Klosterneuburg, 18

km from the center of Vienna. As a PhD granting institution, the graduate school

at IST Austria educates doctoral students from around the world to become

research scientists. IST Austria was established jointly by the federal government

of Austria and the provincial government of Lower Austria and inaugurated in

2009. In the fall of 2010, the Bertalanffy Foundation Building, the first laboratory

building on the IST campus, was opened and the first experimental research

groups started their work at the Institute. By the end of 2011, 19 professors and

a total of 196 employees from 35 different countries worked at IST Austria. A

second laboratory building is under construction and will be completed by the

end of 2012, leading to a further expansion of the research activities. The

development plans of the campus allow a growth to 40-45 professors and

500-600 employees by 2016.

To foster a creative and interdisciplinary scientific atmosphere, all hierarchical

and separating organizational structures, such as departments, are avoided at

IST Austria. The scientists are organized into independent research groups, each

headed by a Professor or a tenure-track Assistant Professor. The decision to

promote an Assistant Professor to Professor with a permanent contract is based

entirely on an evaluation of the scientific achievements of the Assistant Professor

by international experts. Research excellence and promise are the exclusive

hiring criteria for all scientists at IST Austria - from doctoral students to

professors. The Institute chooses which fields of science to enter based solely

on the availability of outstanding individuals. It will pursue a direction of research

only if it can compete with the best in the world.

20

Page 21: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

List of attendees

Surname Name Institution E-mail

ANGELAKI Dora Baylor Coll of Medicine

[email protected]

ARSENAULT Elizabeth McGill U [email protected]

BAKER Curtis McGill U [email protected]

BATHELLIER Brice IMP Vienna [email protected]

BETHGE Matthias U Tuebingen [email protected]

BIALEK William Princeton U [email protected]

BLACK Michael MPI Intelligent Systems

[email protected]

BOHTE Sander CWI Amsterdam

[email protected]

BORST Alexander MPI Neurobiology

[email protected]

BOURG Jacques Champalimaud [email protected]

BRAINARD David U Pennsylvania [email protected]

BRETTE Romain ENS [email protected]

CESSAC Bruno INRIA Sophia [email protected]

CHO Min Nat Neurosci [email protected]

COFRE Rodrigo INRIA Sophia [email protected]

COUZIN Iain Princeton U [email protected]

21

Page 22: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Surname Name Institution E-mail

DE RUYTER Rob Indiana U [email protected]

EMONET Thierry Yale University [email protected]

ESMAEILI Vahid SISSA [email protected]

F. BUJAN Alejandro BCCN Freiburg [email protected]

FARKHOOI Farzad FU Berlin [email protected]

FENK Lisa IMP Vienna [email protected]

FISCHER Elvira MPI Tuebingen [email protected]

FORTHMANN Mareike IMP Vienna [email protected]

FREGNAC Yves CNRS Gif [email protected]

GANMOR Elad Weizmann Inst. [email protected]

GARDNER Tim Boston U [email protected]

GERHARD Holly U Tuebingen [email protected]

GROEN Iris U Amsterdam [email protected]

HANSARD Miles U London [email protected]

HOSOYA Haruo ATR Institute [email protected]

IGARASHI Yasuhiko U Tokyo [email protected]

ITO Junji FZ Juelich [email protected]

KARKLIN Yan NYU [email protected]

KASCHUBE Matthias FIAS [email protected]

KLEINFELD David UC San Diego [email protected]

22

Page 23: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Surname Name Institution E-mail

KOESTER Urs UC Berkeley [email protected]

LAURENT Gilles MPI Brain Res. [email protected]

LEE Daniel U Pennsylvania [email protected]

LEWICKI Michael Case Western [email protected]

LIES Joern-Philipp

U Tuebingen [email protected]

MABOUDI HaDi IMP Niavaran [email protected]

MACKE Jakob U Tuebingen [email protected]

MACNEILAGE Paul LMU Munich [email protected]

MAOZ Ori Weizmann Inst. [email protected]

MARGOLIASH Daniel U Chicago [email protected]

MARRE Olivier Institut Vision [email protected]

MAY Keith City U London [email protected]

MCLEISH Thomas Durham U [email protected]

MEIER Philip Brain Corp [email protected]

MONIER Cyril CNRS Gif [email protected]

MLYNARSKI Wiktor MPI Mathematics

[email protected]

NASSER Hassan INRIA Sophia [email protected]

NG Benedict MPI Tuebingen [email protected]

OLSHAUSEN Bruno UC Berkeley [email protected]

23

Page 24: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Surname Name Institution E-mail

PALMER Stephanie U Chicago [email protected]

PANSER Karin IMP Vienna [email protected]

POEHLMANN Andreas IMP Vienna [email protected]

PORTELLI Geoffrey INRIA Sophia [email protected]

PROCHASKA Alexander IMP Vienna [email protected]

REINHARD Katja U Tuebingen [email protected]

RUMPEL Simon IMP Vienna [email protected]

S N BRITO Carlos EPFL [email protected]

SABATINI Silvio U Genoa [email protected]

SAVIN Cristina U Cambridge [email protected]

SCHNEIDMAN Elad Weizmann Inst. [email protected]

SCHROEDER Sylvia ETH Zuerich [email protected]

SCHWARZ Cornelius U Tuebingen [email protected]

SINZ Fabian U Tuebingen [email protected]

SMITHSON Hannah Oxford U [email protected]

SOLER Vicente U Valencia [email protected]

STEPHENS Greg VU Amsterdam [email protected]

STOWERS John IMP Vienna [email protected]

STRAW Andrew IMP Vienna [email protected]

24

Page 25: !321'>(?1@735((((,.+, A(B8$4'80(C3D7'13%3$€¦ · 34 ITO Junji Temporal organization of neuronal activities in V1 during free viewing of natural scene images 35 SINZ Fabian Temporal

Surname Name Institution E-mail

STROUSE Daniel J U Cambridge [email protected]

SUSEMIHL Alex TU Berlin [email protected]

TALEBI Vargha McGill U [email protected]

TERASHIMA Hiroki U Tokyo [email protected]

THEIS Lucas Tuebingen U [email protected]

TINTER Juliane IMP Vienna [email protected]

TKACIK Gasper IST Austria [email protected]

UCPUNAR Habibe MPI Neurobiology

[email protected]

UJFALUSSY Balazs U Cambridge [email protected]

ULANOVSKY Nachum Weizmann Inst. [email protected]

VICTOR Jonathan Weill Cornell Med. College

[email protected]

WICHMANN Felix U Tuebingen [email protected]

ZABIHI Maryam U Amsterdam [email protected]

ZORAN Daniel Hebrew U [email protected]

25