Neural Correlates of Category Learning in Monkey Inferior Temporal Cortex

Area TE is required for normal learning of visual categories based on perceptual similarity. To evaluate whether category learning changes neural activity in area TE, we trained two monkeys (both male) implanted with multielectrode arrays to categorize natural images of cats and dogs. Neural activity during a passive viewing task was compared pre- and post-training. After the category training, the accuracy of abstract category decoding improved. Single units became more category selective, the proportion of single units with category selectivity increased, and units sustained their category-specific responses for longer. Visual category learning thus appears to enhance category separability in area TE by driving changes in the stimulus selectivity of individual neurons and by recruiting more units to the active network.

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Publication Details

Journal
Journal of Neuroscience
Published
2024-10-18
DOI
https://doi.org/10.1523/jneurosci.0312-24.2024
Citations
3
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.03

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article

Neural Correlates of Category Learning in Monkey Inferior Temporal Cortex

Yasuko Sugase-Miyamoto, Naohisa Miyakawa, Mark A. G. Eldridge, Kazuko Hayashi et al.
3 citations
Journal of Neuroscience
Neural dynamics and brain function
1.03
article

Neural Correlates of Category Learning in Monkey Inferior Temporal Cortex

Yasuko Sugase-Miyamoto, Naohisa Miyakawa, Mark A. G. Eldridge, Kazuko Hayashi, Kenichiro Miura, Narihisa Matsumoto, Richard C. Saunders, Jonah E Pearl, Yuji Nagai, Barry J. Richmond, Keiji Matsuda, Takafumi Minanimoto
article en
3 citations

Abstract

Area TE is required for normal learning of visual categories based on perceptual similarity. To evaluate whether category learning changes neural activity in area TE, we trained two monkeys (both male) implanted with multielectrode arrays to categorize natural images of cats and dogs. Neural activity during a passive viewing task was compared pre- and post-training. After the category training, the accuracy of abstract category decoding improved. Single units became more category selective, the proportion of single units with category selectivity increased, and units sustained their category-specific responses for longer. Visual category learning thus appears to enhance category separability in area TE by driving changes in the stimulus selectivity of individual neurons and by recruiting more units to the active network.

Journal of NeuroscienceVol. 44(49)
National Institutes of Health (US), Harvard University (US), National Center of Neurology and Psychiatry (JP), National Institutes for Quantum Science and Technology (JP), National Institute of Mental Health (US), National Institute of Mental Health (JP), National Institute of Advanced Industrial Science and Technology (JP), Newcastle University (GB)
U.S. Department of Health and Human Services, National Institutes of Health, Japan Society for the Promotion of Science, National Institute of Mental Health
Quality Education
Openalex Percentile: Top 24%
Neural dynamics and brain function
1.03
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