The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Responses of Primate Visual Cortical V4 Neurons to Simultaneously Presented Stimuli
Abstract
We report here results from 45 primate V4 visual cortical neurons to the preattentive presentations of seven different patterns located in two separate areas of the same receptive field and to combinations of the patterns in the two locations. For many neurons, we could not determine any clear relationship for the responses to two simultaneous stimuli. However, for a substantial fraction of the neurons we found that the firing rate was well modeled as the maximum firing rate of each stimulus presented separately. It has previously been proposed that taking the maximum of the inputs (“MAX” operator) could be a useful operation for neurons in visual cortex, although there has until now been little direct physiological evidence for this hypothesis. Our results here provide direct support for the hypothesis that the MAX operator plays a significant (although certainly not exclusive) role in generating the receptive field properties of visual cortical neurons.
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“For instance, the model predicts (23), at the C 1 and C 2 levels, respectively, the max-like behavior of a subclass of complex cells in V1 (26) and V4 (27).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [27]
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Cites
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A method of measuring eye movements using a scleral search coil in a magnetic field
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Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex
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Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4
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Self-citationStereotyped Position of Local Synaptic Targets in Neocortex
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Robust Object Recognition with Cortex-Like Mechanisms
Serre, T., Wolf, L., Bileschi, S., Riesenhuber, M., & Poggio, T. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.56 · Cited by 1,667
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
Neural mechanisms for the recognition of biological movements
Giese, M. A., & Poggio, T. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1057 · Cited by 955
A feedforward architecture accounts for rapid categorization
Serre, T., Oliva, A., & Poggio, T. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700622104 · Cited by 918
Object Recognition with Features Inspired by Visual Cortex
Serre, T., Wolf, L., & Poggio, T. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.254 · Cited by 850
Metadata
- Authors
- Gawne, T. J., & Martin, J. M.
- Affiliations
- University of Alabama (US)
- ORCID
- Gawne, Timothy J.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2002-09-01
- Volume
- 88
- Issue
- 3
- Pages
- 1128-1135
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2175971006
- Cited by
- 134
- References
- 16
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 6 · 2017: 2 · 2016: 3 · 2015: 5 · 2014: 6 · 2013: 9 · 2012: 13
- FWCI
- 3.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r29ey011552-05)
- National Eye Institute (EY-11552-01)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- receptive fields, max operator, firing rate
- MeSH terms
- Animals, Electrophysiology, Macaca mulatta, Models, Neurological, Neurons, Photic Stimulation, Reaction Time, Time Factors, Visual Cortex
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