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A revised view of sensory cortical parcellation
Open accessAbstract
Traditional cortical parcellation schemes have emphasized the presence of sharply defined visual, auditory, and somatosensory domains populated exclusively by modality-specific neurons (i.e., neurons responsive to sensory stimuli from a single sensory modality). However, the modality-exclusivity of this scheme has recently been challenged. Observations in a variety of species suggest that each of these domains is subject to influences from other senses. Using the cerebral cortex of the rat as a model, the present study systematically examined the capability of individual neurons in visual, auditory, and somatosensory cortex to be activated by stimuli from other senses. Within the major modality-specific domains, the incidence of inappropriate (i.e., nonmatching) and/or multisensory neurons was very low. However, at the borders between each of these domains a concentration of multisensory neurons was found whose modality profile matched the representations in neighboring cortices and that were able to integrate their cross-modal inputs to give rise to enhanced and/or depressed responses. The results of these studies are consistent with some features of both the traditional and challenging views of cortical organization, and they suggest a parcellation scheme in which modality-specific cortical domains are separated from one another by transitional multisensory zones.
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Anatomical evidence of multimodal integration in primate striate cortex
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A computational perspective on the neural basis of multisensory spatial representations
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Visual Instruction of the Neural Map of Auditory Space in the Developing Optic Tectum
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Cited by
Multisensory integration: current issues from the perspective of the single neuron
Stein, B. E., & Stanford, T. R. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2331 · Cited by 1,598
Self-citationIs neocortex essentially multisensory?
GHAZANFAR, A., & SCHROEDER, C. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.04.008 · Cited by 1,463
Identification and classification of hubs in brain networks
Sporns, O., Honey, C. J., & Kötter, R. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001049 · Cited by 1,165
Driver, J., & Noesselt, T. (2008) · Neuron · doi:10.1016/j.neuron.2007.12.013 · Cited by 940
Visual speech speeds up the neural processing of auditory speech
van Wassenhove, V., Grant, K. W., & Poeppel, D. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408949102 · Cited by 854
Metadata
- Authors
- Wallace, M. T., Ramachandran, R., & Stein, B. E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-02-06
- Volume
- 101
- Issue
- 7
- Pages
- 2167-2172
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2070946517
- Cited by
- 343
- References
- 6
- FWCI
- 25.54
- Type
- journal article
- Language
- en
- Open access
- green
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