In:
PLOS Biology, Public Library of Science (PLoS), Vol. 20, No. 12 ( 2022-12-21), p. e3001889-
Abstract:
Activity of sensory neurons is driven not only by external stimuli but also by feedback signals from higher brain areas. Attention is one particularly important internal signal whose presumed role is to modulate sensory representations such that they only encode information currently relevant to the organism at minimal cost. This hypothesis has, however, not yet been expressed in a normative computational framework. Here, by building on normative principles of probabilistic inference and efficient coding, we developed a model of dynamic population coding in the visual cortex. By continuously adapting the sensory code to changing demands of the perceptual observer, an attention-like modulation emerges. This modulation can dramatically reduce the amount of neural activity without deteriorating the accuracy of task-specific inferences. Our results suggest that a range of seemingly disparate cortical phenomena such as intrinsic gain modulation, attention-related tuning modulation, and response variability could be manifestations of the same underlying principles, which combine efficient sensory coding with optimal probabilistic inference in dynamic environments.
Type of Medium:
Online Resource
ISSN:
1545-7885
DOI:
10.1371/journal.pbio.3001889
DOI:
10.1371/journal.pbio.3001889.g001
DOI:
10.1371/journal.pbio.3001889.g002
DOI:
10.1371/journal.pbio.3001889.g003
DOI:
10.1371/journal.pbio.3001889.g004
DOI:
10.1371/journal.pbio.3001889.g005
DOI:
10.1371/journal.pbio.3001889.g006
DOI:
10.1371/journal.pbio.3001889.g007
DOI:
10.1371/journal.pbio.3001889.g008
DOI:
10.1371/journal.pbio.3001889.s001
DOI:
10.1371/journal.pbio.3001889.s002
DOI:
10.1371/journal.pbio.3001889.s003
DOI:
10.1371/journal.pbio.3001889.s004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2126773-X
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