The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Spatial Structure and Symmetry of Simple-Cell Receptive Fields in Macaque Primary Visual Cortex
Abstract
I present measurements of the spatial structure of simple-cell receptive fields in macaque primary visual cortex (area V1). Similar to previous findings in cat area 17, the spatial profile of simple-cell receptive fields in the macaque is well described by two-dimensional Gabor functions. A population analysis reveals that the distribution of spatial profiles in primary visual cortex lies approximately on a one-parameter family of filter shapes. Surprisingly, the receptive fields cluster into even- and odd-symmetry classes with a tendency for neurons that are well tuned in orientation and spatial frequency to have odd-symmetric receptive fields. The filter shapes predicted by two recent theories of simple-cell receptive field function, independent component analysis and sparse coding, are compared with the data. Both theories predict receptive fields with a larger number of subfields than observed in the experimental data. In addition, these theories do not generate receptive fields that are broadly tuned in orientation and low-pass in spatial frequency, which are commonly seen in monkey V1. The implications of these results for our understanding of image coding and representation in primary visual cortex are discussed.
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Cites
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“In contrast to previous findings (DeAngelis et al. 1993a; Field and Tolhurst 1986; Hamilton et al. 1989; Jones and Palmer 1987a), the macaque data are significantly bimodal [P 0.02, Hartigan’s dip test, (Hartigan and Hartigan 1985)], with cells clustering near 0 (even symmetry) and /2 (odd…”
BackgroundMethodResultInfluentialSpatial frequency selectivity of cells in macaque visual cortex
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Cited by
Highly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081
Untangling invariant object recognition
DiCarlo, J. J., & Cox, D. D. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.06.010 · Cited by 959
High-dimensional geometry of population responses in visual cortex
Stringer, C., Pachitariu, M., Steinmetz, N., Carandini, M., & Harris, K. D. (2019) · Nature · doi:10.1038/s41586-019-1346-5 · Cited by 594
Local diversity and fine-scale organization of receptive fields in mouse visual cortex
Bonin, V., Histed, M. H., Yurgenson, S., & Reid, R. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2974-11.2011 · Cited by 247
Retinal origin of orientation maps in visual cortex.
Paik, S.-B., & Ringach, D. L. (2011) · Nature Neuroscience · doi:10.1038/nn.2824 · Cited by 161
Metadata
- Authors
- Ringach, D. L.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2002-07-01
- Volume
- 88
- Issue
- 1
- Pages
- 455-463
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W1954638517
- Cited by
- 403
- References
- 33
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- closed
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