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Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
Open accessAbstract
The development of stimulus selectivity in the primary sensory cortex of higher vertebrates is considered in a general mathematical framework. A synaptic evolution scheme of a new kind is proposed in which incoming patterns rather than converging afferents compete. The change in the efficacy of a given synapse depends not only on instantaneous pre- and postsynaptic activities but also on a slowly varying time-averaged value of the postsynaptic activity. Assuming an appropriate nonlinear form for this dependence, development of selectivity is obtained under quite general conditions on the sensory environment. One does not require nonlinearity of the neuron's integrative power nor does one need to assume any particular form for intracortical circuitry. This is first illustrated in simple cases, e.g., when the environment consists of only two different stimuli presented alternately in a random manner. The following formal statement then holds: the state of the system converges with probability 1 to points of maximum selectivity in the state space. We next consider the problem of early development of orientation selectivity and binocular interaction in primary visual cortex. Giving the environment an appropriate form, we obtain orientation tuning curves and ocular dominance comparable to what is observed in normally reared adult cats or monkeys. Simulations with binocular input and various types of normal or altered environments show good agreement with the relevant experimental data. Experiments are suggested that could test our theory further.
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“Consistent with original ideas (Bienenstock et al. 1982), modest depolarization can elicit LTD, whereas stronger depolarization leads to LTP.”
From NMDA receptor-dependent long-term potentiation and long-term depression (LTP/LTD). (2012) · cites this paper as Bienenstock et al. 1982
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“If this were the case, it has been argued that the system would be unstable and quickly saturate (366–371).”
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“The existence of LTD avoids the problem of saturation, which could be essential for a mnemonic device (366–371).”
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Cites
SINGLE-CELL RESPONSES IN STRIATE CORTEX OF KITTENS DEPRIVED OF VISION IN ONE EYE
Wiesel, T. N., & Hubel, D. H. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.1003 · Cited by 2,628
Self-organization of orientation sensitive cells in the striate cortex
Malsburg, C. V. D. (1973) · Kybernetik · doi:10.1007/bf00288907 · Cited by 1,444
RECEPTIVE FIELDS OF CELLS IN STRIATE CORTEX OF VERY YOUNG, VISUALLY INEXPERIENCED KITTENS
Hubel, D. H., & Wiesel, T. N. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.994 · Cited by 1,113
A Physiological Mechanism for Hebb's Postulate of Learning
Stent, G. S. (1973) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.70.4.997 · Cited by 710
EXTENT OF RECOVERY FROM THE EFFECTS OF VISUAL DEPRIVATION IN KITTENS
Wiesel, T. N., & Hubel, D. H. (1965) · Journal of Neurophysiology · doi:10.1152/jn.1965.28.6.1060 · Cited by 704
Storing covariance with nonlinearly interacting neurons
Sejnowski, T. J. (1977) · Journal of Mathematical Biology · doi:10.1007/bf00275079 · Cited by 546
Kasamatsu, T., & Pettigrew, J. D. (1976) · Science · doi:10.1126/science.959850 · Cited by 436
Kasamatsu, T., & Pettigrew, J. D. (1979) · The Journal of Comparative Neurology · doi:10.1002/cne.901850109 · Cited by 314
Imbert, M., & Buisseret, P. (1975) · Experimental Brain Research · doi:10.1007/bf00235409 · Cited by 303
Rauschecker, J. P., & Singer, W. (1981) · The Journal of Physiology · doi:10.1113/jphysiol.1981.sp013545 · Cited by 220
Research works printed but not linked: 7
- Anderson, J. A. (1970) Two models for memory organization Hebb, D. 0. (1949) Organization of Behavior, John Wiley and using interacting traces. Math. Biosci. 8: 137-160.
- selectivity. Doctoral thesis, Brown University, Providence, Hirsch, H. V. B., and D. N. Spinelli (1971) Modification of the RI. distribution of receptive field orientation in cats by selective
- Hubel, D. H., and T. N. Wiesel (1962) Receptive fields, binoc- Vol. 2, No. 1, Jan. 1982 ular interaction and functional architecture in the cat's visual cortex. J. Physiol. (Lond.) 160: 106-154.
- LeventhaI, A. G., and H. V. B. Hirsch (1977) Effects of early experience upon orientation selectivity and binocularity of neurons in visual cortex of cats. Proc. Natl. Acad. Sci. U. S. A. 74: 1272-1276.
- Pettigrew, J. D. (1978) The paradox of the critical period for striate cortex. In Neuronal Plasticity, C. W. Cotman, ed., pp. 311-330, Raven Press, New York.
- Singer, W. (1979) Central-core control of visual functions. In Neuroscience Fourth Study Program, F. Schmitt and F. Worden, eds., pp. 1093-1109, MIT Press, Cambridge.
- Trotter, Y., Y. Fregnac, P. Buisseret (1981) Gating control of developmental plasticity by extraocular proprioception in kitten area 17. In Fourth European Conference on Visual Perception, Gouzieux, France.
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Katz, L. C., & Shatz, C. J. (1996) · Science · doi:10.1126/science.274.5290.1133 · Cited by 3,048
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
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Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B. (1998) · Nature · doi:10.1038/36103 · Cited by 2,226
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Lefaucheur, J.-P., André-Obadia, N., Antal, A., Ayache, S. S., Baeken, C., Benninger, D. H., Cantello, R. M., Cincotta, M., de Carvalho, M., De Ridder, D., et al. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.05.021 · Cited by 2,119
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Sanger, T. D. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90044-0 · Cited by 1,527
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Grossberg, S. (1987) · Cognitive Science · doi:10.1111/j.1551-6708.1987.tb00862.x · Cited by 1,471
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Abraham, W. C. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2356 · Cited by 1,166
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Lisman, J. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.23.9574 · Cited by 1,127
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Artola, A., & Singer, W. (1993) · Trends in Neurosciences · doi:10.1016/0166-2236(93)90081-v · Cited by 799
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Turner, P. R., O’Connor, K., Tate, W. P., & Abraham, W. C. (2003) · Progress in Neurobiology · doi:10.1016/s0301-0082(03)00089-3 · Cited by 796
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Sjöström, P. J., Rancz, E. A., Roth, A., & Häusser, M. (2008) · Physiological Reviews · doi:10.1152/physrev.00016.2007 · Cited by 740
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Perin, R., Berger, T. K., & Markram, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016051108 · Cited by 718
Siebner, H. R., Lang, N., Rizzo, V., Nitsche, M. A., Paulus, W., Lemon, R., & Rothwell, J. C. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.5316-03.2004 · Cited by 729
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Crair, M. C., & Malenka, R. C. (1995) · Nature · doi:10.1038/375325a0 · Cited by 691
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Yashiro, K., & Philpot, B. D. (2008) · Neuropharmacology · doi:10.1016/j.neuropharm.2008.07.046 · Cited by 649
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Ripley, B. D. (1994) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1994.tb01990.x · Cited by 630
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Hansel, C., Linden, D. J., & D'Angelo, E. (2001) · Nature Neuroscience · doi:10.1038/87419 · Cited by 694
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
Xu, L., Krzyżak, A., & Erkki Oja, A. (1993) · IEEE Transactions on Neural Networks · doi:10.1109/72.238318 · Cited by 613
Ten years of theta burst stimulation in humans: Established knowledge, unknowns and prospects
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Shouval, H. Z., Bear, M. F., & Cooper, L. N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.152343099 · Cited by 613
Self-citationBidirectional long-term modification of synaptic effectiveness in the adult and immature hippocampus
Dudek, S. M., & Bear, M. F. (1993) · Journal of Neuroscience · doi:10.1523/jneurosci.13-07-02910.1993 · Cited by 595
Phenomenological models of synaptic plasticity based on spike timing
Morrison, A., Diesmann, M., & Gerstner, W. (2008) · Biological Cybernetics · doi:10.1007/s00422-008-0233-1 · Cited by 593
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Feldman, D. E., & Brecht, M. (2005) · Science · doi:10.1126/science.1115807 · Cited by 587
Ziemann, U., Ilic, T. V., Pauli, C., Meintzschel, F., & Ruge, D. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.5016-03.2004 · Cited by 590
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Debanne, D., Gähwiler, B. H., & Thompson, S. M. (1998) · The Journal of Physiology · doi:10.1111/j.1469-7793.1998.237bu.x · Cited by 589
Rapid, experience-dependent expression of synaptic NMDA receptors in visual cortex in vivo
Quinlan, E. M., Philpot, B. D., Huganir, R. L., & Bear, M. F. (1999) · Nature Neuroscience · doi:10.1038/7263 · Cited by 579
Calcium stores regulate the polarity and input specificity of synaptic modification
Nishiyama, M., Hong, K., Mikoshiba, K., Poo, M.-M., & Kato, K. (2000) · Nature · doi:10.1038/35046067 · Cited by 635
Modelling non-invasive brain stimulation in cognitive neuroscience
Miniussi, C., Harris, J. A., & Ruzzoli, M. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.06.014 · Cited by 536
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Daoudal, G., & Debanne, D. (2003) · Learning & Memory · doi:10.1101/lm.64103 · Cited by 554
A Physiological Basis for a Theory of Synapse Modification
Bear, M. F., Cooper, L. N., & Ebner, F. F. (1987) · Science · doi:10.1126/science.3037696 · Cited by 528
Self-citationMayford, M., Wang, J., Kandel, E., & O'Dell, T. (1995) · Cell · doi:10.1016/0092-8674(95)90009-8 · Cited by 552
Evidence for the involvement of TNF and NF-?B in hippocampal synaptic plasticity
Albensi, B. C., & Mattson, M. P. (2000) · Synapse · doi:10.1002/(sici)1098-2396(200002)35:2 · Cited by 527
Silent synapses during development of thalamocortical inputs
Isaac, J. T. R., Crair, M. C., Nicoll, R. A., & Malenka, R. C. (1997) · Neuron · doi:10.1016/s0896-6273(00)80267-6 · Cited by 507
Hinton, G. E. (1990) · Elsevier eBooks · doi:10.1016/b978-0-08-051055-2.50029-8 · Cited by 524
Impaired Hippocampal Representation of Space in CA1-Specific NMDAR1 Knockout Mice
McHugh, T. J., Blum, K. I., Tsien, J. Z., Tonegawa, S., & Wilson, M. A. (1996) · Cell · doi:10.1016/s0092-8674(00)81828-0 · Cited by 593
Linden, D. J., & Connor, J. A. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001535 · Cited by 519
Learning the distribution of object trajectories for event recognition
Johnson, N. J., & Hogg, D. (1996) · Image and Vision Computing · doi:10.1016/0262-8856(96)01101-8 · Cited by 499
Emotion Enhances Learning via Norepinephrine Regulation of AMPA-Receptor Trafficking
Hu, H., Real, E., Takamiya, K., Kang, M.-G., Ledoux, J., Huganir, R. L., & Malinow, R. (2007) · Cell · doi:10.1016/j.cell.2007.09.017 · Cited by 496
Bear, M., Kleinschmidt, A., Gu, Q., & Singer, W. (1990) · The Journal of Neuroscience · doi:10.1523/jneurosci.10-03-00909.1990 · Cited by 488
Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
Scellier, B., & Bengio, Y. (2017) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2017.00024 · Cited by 504
New views of Arc, a master regulator of synaptic plasticity
Shepherd, J. D., & Bear, M. F. (2011) · Nature Neuroscience · doi:10.1038/nn.2708 · Cited by 481
Bach, M. E., Hawkins, R. D., Osman, M., Kandel, E. R., & Mayford, M. R. (1995) · Cell · doi:10.1016/0092-8674(95)90010-1 · Cited by 487
NMDA Receptor-Dependent Ocular Dominance Plasticity in Adult Visual Cortex
Sawtell, N. B., Frenkel, M. Y., Philpot, B. D., Nakazawa, K., Tonegawa, S., & Bear, M. F. (2003) · Neuron · doi:10.1016/s0896-6273(03)00323-4 · Cited by 482
Cortical Development and Remapping through Spike Timing-Dependent Plasticity
Song, S., & Abbott, L. F. (2001) · Neuron · doi:10.1016/s0896-6273(01)00451-2 · Cited by 477
Plasticity of Cortical Excitatory-Inhibitory Balance
Froemke, R. C. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034002 · Cited by 458
Malleret, G., Haditsch, U., Genoux, D., Jones, M. W., Bliss, T. V. P., Vanhoose, A. M., Weitlauf, C., Kandel, E. R., Winder, D. G., & Mansuy, I. M. (2001) · Cell · doi:10.1016/s0092-8674(01)00264-1 · Cited by 470
Associative long-term depression in the hippocampus induced by hebbian covariance
Stanton, P. K., & B, T. J. S. A. (1989) · Nature · doi:10.1038/339215a0 · Cited by 461
A history of spike-timing-dependent plasticity
Markram, H. (2011) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2011.00004 · Cited by 454
Bidirectional parallel fiber plasticity in the cerebellum under climbing fiber control.
Coesmans, M., Weber, J., Zeeuw, C. D. D., & Hansel, C. (2004) · Neuron · doi:10.1016/j.neuron.2004.10.031 · Cited by 454
Ca2+ Signaling Requirements for Long-Term Depression in the Hippocampus
Cummings, J., Mulkey, R. M., Nicoll, R. A., & Malenka, R. C. (1996) · Neuron · doi:10.1016/s0896-6273(00)80102-6 · Cited by 465
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Metadata
- Authors
- Bienenstock, E., Cooper, L., & Munro, P.
- Affiliations
- Université Paris-Sud (FR)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1982-01-01
- Volume
- 2
- Issue
- 1
- Pages
- 32-48
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6564292
- OpenAlex
- W1733248925
- Cited by
- 2,896
- References
- 19
- Citations by year
- 2026: 71 · 2025: 91 · 2024: 98 · 2023: 108 · 2022: 102 · 2021: 104 · 2020: 112 · 2019: 93 · 2018: 112 · 2017: 108 · 2016: 87 · 2015: 117 · 2014: 118 · 2013: 119 · 2012: 112
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ittleson Foundation
- Brown University
- Fondation de France
- Office of Naval Research
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- orientation selectivity, binocular interaction, primary visual cortex, ocular dominance, synaptic plasticity, orientation tuning curves, synaptic efficacy, cortical development
- MeSH terms
- Animals, Cats, Dominance, Cerebral, Mathematics, Models, Neurological, Neurons, Orientation, Retina, Sensory Deprivation, Synapses, Visual Cortex, Visual Pathways, Visual Perception
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