Bottom-up and top-down computations in word- and face-selective cortex.

Citation data:

eLife, ISSN: 2050-084X, Vol: 6

Publication Year:
2017
Captures 54
Readers 54
Social Media 6
Tweets 6
Citations 6
Citation Indexes 6
PMID:
28226243
DOI:
10.7554/elife.22341.008, 10.7554/elife.22341.005, 10.7554/elife.22341.012, 10.7554/elife.22341.007, 10.7554/elife.22341.001, 10.7554/elife.22341.013, 10.7554/elife.22341.010, 10.7554/elife.22341.002, 10.7554/elife.22341.003, 10.7554/elife.22341.011, 10.7554/elife.22341
Author(s):
Kay, Kendrick N, Yeatman, Jason D
Publisher(s):
eLife Sciences Organisation, Ltd.
Tags:
Neuroscience, Biochemistry, Genetics and Molecular Biology, Immunology and Microbiology
Most Recent Tweet View All Tweets
article description
The ability to read a page of text or recognize a person's face depends on category-selective visual regions in ventral temporal cortex (VTC). To understand how these regions mediate word and face recognition, it is necessary to characterize how stimuli are represented and how this representation is used in the execution of a cognitive task. Here, we show that the response of a category-selective region in VTC can be computed as the degree to which the low-level properties of the stimulus match a category template. Moreover, we show that during execution of a task, the bottom-up representation is scaled by the intraparietal sulcus (IPS), and that the level of IPS engagement reflects the cognitive demands of the task. These results provide an account of neural processing in VTC in the form of a model that addresses both bottom-up and top-down effects and quantitatively predicts VTC responses.

This article has 0 Wikipedia mention.