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A simple white noise analysis of neuronal light responses
Abstract
A white noise technique is presented for estimating the response properties of spiking visual system neurons. The technique is simple, robust, efficient and well suited to simultaneous recordings from multiple neurons. It provides a complete and easily interpretable model of light responses even for neurons that display a common form of response nonlinearity that precludes classical linear systems analysis. A theoretical justification of the technique is presented that relies only on elementary linear algebra and statistics. Implementation is described with examples. The technique and the underlying model of neural responses are validated using recordings from retinal ganglion cells, and in principle are applicable to other neurons. Advantages and disadvantages of the technique relative to classical approaches are discussed.
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Citations
Cites
Spatial summation in the receptive fields of simple cells in the cat's striate cortex.
Movshon, J. A., Thompson, I. D., & Tolhurst, D. J. (1978) · The Journal of Physiology · doi:10.1113/jphysiol.1978.sp012488 · Cited by 890
Cited by
Spatio-temporal correlations and visual signalling in a complete neuronal population
Pillow, J. W., Shlens, J., Paninski, L., Sher, A., Litke, A. M., Chichilnisky, E. J., & Simoncelli, E. P. (2008) · Nature · doi:10.1038/nature07140 · Cited by 1,311
Self-citationHighly 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
Revealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
Fast and Slow Contrast Adaptation in Retinal Circuitry
Baccus, S. A., & Meister, M. (2002) · Neuron · doi:10.1016/s0896-6273(02)01050-4 · Cited by 515
Dynamic predictive coding by the retina
Hosoya, T., Baccus, S. A., & Meister, M. (2005) · Nature · doi:10.1038/nature03689 · Cited by 468
Metadata
- Authors
- Chichilnisky, E. J.
- Venue
- Network Computation in Neural Systems
- Publisher
- Informa UK Limited
- Published
- 2001-02-01
- Volume
- 12
- Issue
- 2
- Pages
- 199-213
- ISSN
- 0954-898X (ISSN-L)
- OpenAlex
- W2112455917
- Cited by
- 770
- References
- 1
- FWCI
- 6.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chichilnisky, E. J. (2001). A simple white noise analysis of neuronal light responses. Network Computation in Neural Systems. https://doi.org/10.1080/net.12.2.199.213
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.