Work

Action-Based Learning of Multistate Objects in the Medial Temporal Lobe

Year: 2015

Type: article

Abstract: Actions constrain perception by changing the appearance of objects in the environment. As such, they provide an interactive basis for learning the structure of visual input. If an action systematically transforms one stimulus into another, then these stimuli are more likely to reflect different states of the same persisting object over time. Here we show that such multistate objects are represented in the human medial temporal lobe--the result of a mechanism in which actions influence associative learning of how objects transition between states. We further demonstrate that greater recruitment of these action-based representations during object perception is accompanied by attenuated activity in stimulus-selective visual cortex. In this way, our interactions with the environment help build visual knowledge that predictively facilitates perceptual processing.

Source: Cerebral Cortex

DOI: 10.1093/cercor/bhv030

Authors: Nicholas C. Hindy, Nicholas B. Turk-Browne

Institution: Princeton University

Language: English

Topic: Memory and Neural Mechanisms

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: National Institutes of Health, National Eye Institute

Awards: Plasticity from predictive coding of object states in visual cortex, Neural and Behavioral Interactions Between Attention, Perception, and Learning