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Europe PubMed Central
Other literature type . 2021
Data sources: PubMed Central
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https://doi.org/10.1038/s41583...
Article . 2021 . Peer-reviewed
License: Springer Nature TDM
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On the relationship between maps and domains in inferotemporal cortex

Authors: Michael J. Arcaro; Margaret S. Livingstone;

On the relationship between maps and domains in inferotemporal cortex

Abstract

How does the brain encode information about the environment? Decades of research have led to the pervasive notion that the object-processing pathway in primate cortex consists of multiple areas that are each specialized to process different object categories (such as faces, bodies, hands, non-face objects and scenes). The anatomical consistency and modularity of these regions have been interpreted as evidence that these regions are innately specialized. Here, we propose that ventral-stream modules do not represent clusters of circuits that each evolved to process some specific object category particularly important for survival, but instead reflect the effects of experience on a domain-general architecture that evolved to be able to adapt, within a lifetime, to its particular environment. Furthermore, we propose that the mechanisms underlying the development of domains are both evolutionarily old and universal across cortex. Topographic maps are fundamental, governing the development of specializations across systems, providing a framework for brain organization.

Subjects by Vocabulary

Microsoft Academic Graph classification: Cognitive science Modularity (networks) Computer science Process (engineering) ENCODE Inferotemporal cortex Object (philosophy) Consistency (database systems) medicine.anatomical_structure Cortex (anatomy) medicine Architecture

Keywords

Neurons, Brain Mapping, General Neuroscience, Macaca mulatta, Temporal Lobe, Article, Visual Perception, Animals, Humans, Visual Pathways, Photic Stimulation

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    44
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 1%
Average
Top 1%
Green
Related to Research communities
Neuroinformatics