ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024
Neural Correlates of Category Learning in Monkey Inferior Temporal Cortex.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Hierarchical optimization predicts plasticity in the macaque inferior temporal cortex following object training.Nature communications · 2026Article
- Representations of facial features and surface quality in monkey area TE compared to neural network models.Frontiers in neural circuits · 2026Article
- Enhanced neural plasticity in monkey TE compared to TEO during learning of a feature-ambiguous visual categorization task.Nature communications · 2025Article
- Article
- Editorial: Neural correlates of visual learning and object representation in inferior temporal lobe.Frontiers in behavioral neuroscience · 2025Article
- Differences in category information processing between areas TEO and TE of the macaque.Frontiers in behavioral neuroscience · 2024Article
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12 authors.
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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.
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