Formal learning theory dissociates brain regions with different temporal integration.

Abstract:

:Learning can be characterized as the extraction of reliable predictions about stimulus occurrences from past experience. In two experiments, we investigated the interval of temporal integration of previous learning trials in different brain regions using implicit and explicit Pavlovian fear conditioning with a dynamically changing reinforcement regime in an experimental setting. With formal learning theory (the Rescorla-Wagner model), temporal integration is characterized by the learning rate. Using fMRI and this theoretical framework, we are able to distinguish between learning-related brain regions that show long temporal integration (e.g., amygdala) and higher perceptual regions that integrate only over a short period of time (e.g., fusiform face area, parahippocampal place area). This approach allows for the investigation of learning-related changes in brain activation, as it can dissociate brain areas that differ with respect to their integration of past learning experiences by either computing long-term outcome predictions or instantaneous reinforcement expectancies.

journal_name

Neuron

journal_title

Neuron

authors

Gläscher J,Büchel C

doi

10.1016/j.neuron.2005.06.008

subject

Has Abstract

pub_date

2005-07-21 00:00:00

pages

295-306

issue

2

eissn

0896-6273

issn

1097-4199

pii

S0896-6273(05)00486-1

journal_volume

47

pub_type

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