The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Do We Know What the Early Visual System Does?
Open accessAbstract
We can claim that we know what the visual system does once we can predict neural responses to arbitrary stimuli, including those seen in nature. In the early visual system, models based on one or more linear receptive fields hold promise to achieve this goal as long as the models include nonlinear mechanisms that control responsiveness, based on stimulus context and history, and take into account the nonlinearity of spike generation. These linear and nonlinear mechanisms might be the only essential determinants of the response, or alternatively, there may be additional fundamental determinants yet to be identified. Research is progressing with the goals of defining a single “standard model” for each stage of the visual pathway and testing the predictive power of these models on the responses to movies of natural scenes. These predictive models represent, at a given stage of the visual pathway, a compact description of visual computation. They would be an invaluable guide for understanding the underlying biophysical and anatomical mechanisms and relating neural responses to visual perception.
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Citations
Cites
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Self-citationHierarchical Bayesian inference in the visual cortex
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BackgroundSelf-citation
Cited by
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Yamins, D. L. K., Hong, H., Cadieu, C. F., Solomon, E. A., Seibert, D., & DiCarlo, J. J. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403112111 · Cited by 1,924
How does the brain solve visual object recognition?
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Self-citationNormalization as a canonical neural computation
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“It is performed, at least approximately, at various stages in visio”
BackgroundSelf-citationUsing goal-driven deep learning models to understand sensory cortex
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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
Metadata
- Authors
- Carandini, M., Demb, J. B., Mante, V., Tolhurst, D. J., Dan, Y., Olshausen, B. A., Gallant, J. L., & Rust, N. C.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2005-11-16
- Volume
- 25
- Issue
- 46
- Pages
- 10577-10597
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1844800426
- Cited by
- 600
- References
- 14
- FWCI
- 9.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
