Interactive Activation: Behavioral and Brain Evidence and the Interactive

Activation Model

PDP ClassJanuary 8, 2010

Overview

• Modular approaches: Marr and Fodor• A critique of modular approaches in vision• The word superiority effect and the interactive

activation model• Interactivity in the brain

– Anatomy and neurophysiology

Marr’s Modular Approach

• Divide and conquer approach to vision:– E.g., Marr suggests studying shape from shading, shape from

motion, shape from depth as separate computations.– A key motivation is that sometimes just one type of information is

enough (crumpled newspaper example).– Forces close attention to just how much can be done with each

source of information alone, and a careful consideration of how it might be done.

• Similar to Fodor’s modular approach in Modularity of Mind.– Fodor assumes that specific input and output systems are

encapsulated (insensitive to inputs from other sources) and reflex-like.

– The suggestion is that in order for them to be reflex-like they must be very narrow in the range of considerations they take into account.

– If in fact the brain were modular this would be nice, for then function would be considerably easier to analyse.

Critique of the Modularity Approach(Bulthoff and Yuille, 1996)

• Provides no insight into what to do when different modules both provide inconclusive (possibly conflicting) evidence.

• More generally, it punts on how we successfully integrate multiple sources of information, as we clearly do much of the time.

• Ignores the fact that one source of information can change the way we use information from another source (see next slide).

Gilcrest, A. L. Perceived lightness depends on perceived

spatial arrangement. Science, 1977, 195, 185-187.

• Experiment shows that subjects assign a surface a ‘color’ based on which other surfaces they see it as co-planar with. Thus color depends on perceived depth, violating modularity.

Findings Motivating the IA Model

• The word superiority effect (Reicher, 1969).

– Subjects identify letters in words better than letters in scrambled strings or single letters.

• The pseudoword advantage.– The advantage over single

letters and scrambled strings extends to pronounceable non-words (e.g. LEAT / LOAT…)

• The contextual enhancement effect.

– Increasing the duration of the context or of the target letter facilitates correct identification.

• Reicher’s experiment:– Words are constructed in pairs

differing by one letter.– E.g. READ vs ROAD.– The ‘critical letter’ is the letter

that differs between members of the pair.

– Critical letters occur in all four positions.

– Display is followed by a mask made of lines or letter fragments.

– The critical letter and the alternative then appear as choice alternatives, with dashes indicating the tested position.

– There are trials with scrambled letter strings and single letters, with the same critical letters used.

The Contextual Enhancement Effect

The Interactive Activation Model

• Feature, letter and word units.

• Between-layer connections were + or -; only inhibitory connections within.

• Activation follows the ‘iac’ function.

• Response selected from the letter units in the cued location according to the Luce choice rule:

How the Model Works:

Words vs. Single Letters

Word and Letter Level Activations for Words and Pseudowords

Idea of ‘conspiracy effect’ rather than consistency with rules as a basis of performance on ‘regular’ items.

Simulation of Contextual Enhancement Effect

Role of Pronouncability vs. Neighbors

• Three kinds of pairs:– Pronounceable:

SLET-SPET

– Unpronouncable/good:

SLCT-SPCT

– Unpronouncable/bad:

XLQJ-XPQJ

Autonomous vs. Interactive Approaches

visual or auditory feature level

Letter/phoneme identification

Can the Models be Distinguished?

• Attempts to support IA models seek to demonstrate ‘knock-on’ effects influencing the phoneme level inputs to the word level.– Lexically-Triggered Compensation for Coarticulation– Selective Adaptation– Tuning Phoneme Boundaries

• Basic logic:– Use context to determine identity of an ambiguous

segment– Show that the contextually-determined segment identity

triggers a phenomenon that affects phoneme identification (on the way to lexical access)

• See TiCS paper in readings for details

Tuning Phoneme Boundaries

• Present ambiguous (s/f) segment in a context where lexical information determines its identity as ‘f’, while presenting normal ‘s’ segments:– Consider / Con(s/f)use

• Later, test for identification of the ambiguous segment, and identification of words where both interpretations are possible.– (f/s)ear

• Participants identify ambiguous segment and the word containing it as though they hear it now as an ‘f’.

• This can be explained by assuming participants use the top-down signal to adjust the connection weights mapping features onto the ‘f’ sound.

Interactivity in the Brain

• Bidirectional Connectivity• Interactions between V5 (MT) and V1/V2:

Bullier• Subjective Contours in V1:

Lee and Nguyen

Hupe, James, Payne, Lomber, Girard & Bullier (Nature, 1998, 394, 784-787)

• Investigated effects of cooling V5 (MT) on neuronal responses in V1, V2, and V3 to a bar on a background grid of lower contrast.

• MT cooling typically produces a reversible reduction in firing rate to V1/V2/V3 cells’ optimal stimulus (figure)

• Top down effect is greatest for stimuli of low contrast. If the stimulus is easy to see when it is not moving, top-down influences from MT have little effect.

• Concept of ‘inverse effectiveness’ arises here and in many other related cases.

*

Lee & Nguyen (PNAS, 2001, 98, 1907-1911)

• They asked the question:Do V1 neurons participate in the formation of a representation of the illusory contour seen in the upper panel (but not in the lower panel)?

• They recorded from neurons in V1 tuned to the illusory line segment, and varied the position of the illusory segment with respect to the most responsive position of the neuron.

Response to the illusory contour is found at

precisely the expected location.

Temporal Response to Real and Illusory Contours

Neuron’s receptive field falls rightover the middle of the real or illusoryline defining the bottom edge of the square