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BRIEF RESEARCH REPORT article

Front. Behav. Neurosci.
Sec. Learning and Memory
Volume 18 - 2024 | doi: 10.3389/fnbeh.2024.1481478
This article is part of the Research Topic Neural correlates of visual learning and object representation in inferior temporal lobe View all 3 articles

Dissociation between area TE and rhinal cortex in accuracy vs speed of visual categorization in rhesus monkeys

Provisionally accepted
Bing Li Bing Li 1Kaleb Lowe Kaleb Lowe 1*Samarth Chandra Samarth Chandra 1*Gang Chen Gang Chen 2Mark A. Eldridge Mark A. Eldridge 1*Barry J. Richmond Barry J. Richmond 1*
  • 1 Laboratory of Neuropsychology, National Institute of Mental Health (NIH), Bethesda, United States
  • 2 Scientific and Statistical Computing Core, National Institute of Mental Health (NIH), Bethesda, United States

The final, formatted version of the article will be published soon.

    In real-world vision, objects may appear for a short period such as might occur in conjunction with visual search. Presumably, this puts a premium on rapid categorization. We designed a visual categorization task cued by briefly presented images to study how visual categorization is processed in an ethologically relevant context. We compared the performance of monkeys with bilateral area TE lesions, and those with bilateral rhinal cortex lesions, to control animals. TE lesions impaired the accuracy but not the speed of visual categorization. In contrast, rhinal cortex lesions didn't affect the accuracy but reduced the speed of visual categorization. A generalized drift-diffusion model (GDDM) with collapsing bounds was fitted to the data. The rate of drift was equivalent across all groups, but the decision bounds collapsed more slowly in the rhinal group than the other two groups. This suggests that, although evidence is accumulated at the same rate in all groups, the rhinal lesion results in slower decision making.

    Keywords: visual categorization, Area TE, Rhinal cortex, Rhesus Monkey, decision-making

    Received: 16 Aug 2024; Accepted: 04 Nov 2024.

    Copyright: © 2024 Li, Lowe, Chandra, Chen, Eldridge and Richmond. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Kaleb Lowe, Laboratory of Neuropsychology, National Institute of Mental Health (NIH), Bethesda, United States
    Samarth Chandra, Laboratory of Neuropsychology, National Institute of Mental Health (NIH), Bethesda, United States
    Mark A. Eldridge, Laboratory of Neuropsychology, National Institute of Mental Health (NIH), Bethesda, United States
    Barry J. Richmond, Laboratory of Neuropsychology, National Institute of Mental Health (NIH), Bethesda, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.