Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex

Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex

How does the human brain encode semantic information about objects? This paper reconciles two seemingly contradictory views. The first proposes that local neural populations independently encode semantic features; the second, that semantic representations arise as a dynamic distributed code that cha...

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Bibliographic Details
Main Authors: Timothy T Rogers, Christopher R Cox, Qihong Lu, Akihiro Shimotake, Takayuki Kikuchi, Takeharu Kunieda, Susumu Miyamoto, Ryosuke Takahashi, Akio Ikeda, Riki Matsumoto, Matthew A Lambon Ralph
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-10-01
Series:eLife
Subjects:
semantic memory
cognition
neural networks
ECOG
temporal lobe
mvpa
Online Access:https://elifesciences.org/articles/66276

Internet

https://elifesciences.org/articles/66276

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