ArticleScientific reports2019
Using neural distance to predict reaction time for categorizing the animacy, shape, and abstract properties of objects.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- The Anterior Temporal Semantic Hub in the Left and Right Hemispheres: A Unitary System or Two Separate Systems for Meaning?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Identifying and characterizing scene representations relevant for categorization behavior.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Graspable foods and tools elicit similar responses in visual cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Graspable foods and tools elicit similar responses in visual cortex.bioRxiv : the preprint server for biology · 2024Article
- Confidence modulates the decodability of scene prediction during partially-observable maze exploration in humans.Communications biology · 2022Article
- Selective Enhancement of Object Representations through Multisensory Integration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex.Scientific reports · 2020Article
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Abstract
A large number of neuroimaging studies have shown that information about object category can be decoded from regions of the ventral visual pathway. One question is how this information might be functionally exploited in the brain. In an attempt to help answer this question, some studies have adopted a neural distance-to-bound approach, and shown that distance to a classifier decision boundary through neural activation space can be used to predict reaction times (RT) on animacy categorization tasks. However, these experiments have not controlled for possible visual confounds, such as shape, in their stimulus design. In the present study we sought to determine whether, when animacy and shape properties are orthogonal, neural distance in low- and high-level visual cortex would predict categorization RTs, and whether a combination of animacy and shape distance might predict RTs when categories crisscrossed the two stimulus dimensions, and so were not linearly separable. In line with previous results, we found that RTs correlated with neural distance, but only for animate stimuli, with similar, though weaker, asymmetric effects for the shape and crisscrossing tasks. Taken together, these results suggest there is potential to expand the neural distance-to-bound approach to other divisions beyond animacy and object category.
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