The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
Neural Mechanisms of Orientation Selectivity in the Visual Cortex
Abstract
The origin of orientation selectivity in the responses of simple cells in cat visual cortex serves as a model problem for understanding cortical circuitry and computation. The feed-forward model posits that this selectivity arises simply from the arrangement of thalamic inputs to a simple cell. Much evidence, including a number of recent intracellular studies, supports a primary role of the thalamic inputs in determining simple cell response properties, including orientation tuning. This mechanism alone, however, cannot explain the invariance of orientation tuning to changes in stimulus contrast. Simple cells receive push-pull inhibition: ON inhibition in OFF subregions and vice versa. Addition of such inhibition to the feed-forward model can account for this contrast invariance, provided the inhibition is sufficiently strong. The predictions of “normalization” and “feedback” models are reviewed and compared with the predictions of this modified feed-forward model and with experimental results. The modified feed-forward and the feedback models ascribe fundamentally different functions to cortical processing.
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Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Merleau-Ponty, M. (1982) · Routledge eBooks · doi:10.4324/9780203981139 · Cited by 9,841
Warnock, M., Merleau-Ponty, M., & Smith, C. (1964) · The Philosophical Quarterly · doi:10.2307/2217780 · Cited by 3,160
The period of susceptibility to the physiological effects of unilateral eye closure in kittens
Hubel, D. H., & Wiesel, T. N. (1970) · The Journal of Physiology · doi:10.1113/jphysiol.1970.sp009022 · Cited by 3,030
Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex
McCormick, D. A., Connors, B. W., Lighthall, J. W., & Prince, D. A. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.4.782 · Cited by 1,933
Normalization of cell responses in cat striate cortex
Heeger, D. J. (1992) · Visual Neuroscience · doi:10.1017/s0952523800009640 · Cited by 1,835
Synaptic depression and cortical gain control
Abbott, L. F., Varela, J. A., Sen, K., & Nelson, S. B. (1997) · Science · doi:10.1126/science.275.5297.221 · Cited by 1,690
Jones, J. P., & Palmer, L. A. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.58.6.1233 · Cited by 1,658 · cited 1×
“Given the measured aspect ratio of the simple cell subfields (Jones & Palmer 1987a,b) and the cross-correlation studies that suggest that the subfields arise from geniculate input (Tanaka 1983, Reid & Alonso 1995), it seemed likely that the relay cell input to a simple cell would by itself show…”
BackgroundTsodyks, M. V., & Markram, H. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.2.719 · Cited by 1,603
Two networks of electrically coupled inhibitory neurons in neocortex
Gibson, J. R., Beierlein, M., & Connors, B. W. (1999) · Nature · doi:10.1038/47035 · Cited by 1,404
Cited by
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
Synaptic Plasticity and Memory: An Evaluation of the Hypothesis
Martin, S. J., Grimwood, P. D., & Morris, R. G. M. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.649 · Cited by 2,794
The Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457
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
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
- Ferster, D., & Miller, K. D.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2000-03
- Volume
- 23
- Issue
- 1
- Pages
- 441-471
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2126020484
- Cited by
- 678
- References
- 123
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- closed
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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.