The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“If this were the case, it has been argued that the system would be unstable and quickly saturate (366–371).”
From Synaptic memory and CaMKII (2023) · cites this paper as [367]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The existence of LTD avoids the problem of saturation, which could be essential for a mnemonic device (366–371).”
From Synaptic memory and CaMKII (2023) · cites this paper as [367]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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.
Cited by
Sorted by citations
Items 301–400 of 1,006
A biophysical model of bidirectional synaptic plasticity: Dependence on AMPA and NMDA receptors
Castellani, G., Quinlan, E., Cooper, L., & Shouval, H. (2001) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.201404598 · Cited by 175
Self-citationEnoki, R., Hu, Y.-L., Hamilton, D. C., & Fine, A. (2009) · Neuron · doi:10.1016/j.neuron.2009.02.026 · Cited by 166
Parker, R. S., Lewis, G. N., Rice, D. A., & McNair, P. J. (2016) · Brain stimulation · doi:10.1016/j.brs.2016.03.020 · Cited by 169
A Biochemical Correlate of the Critical Period for Synaptic Modification in the Visual Cortex
Dudek, S. M., & Bear, M. F. (1989) · Science · doi:10.1126/science.2573152 · Cited by 160
Alarcón, J. M., Hodgman, R., Theis, M., Huang, Y.-S., Kandel, E. R., & Richter, J. D. (2004) · Learning & Memory · doi:10.1101/lm.72704 · Cited by 161
A Role for Protein Phosphatases 1, 2A, and 2B in Cerebellar Long-Term Potentiation
Belmeguenaï, A., & Hansel, C. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.2876-05.2005 · Cited by 156
Schabrun, S. M., Jones, E., Cancino, E. E., & Hodges, P. W. (2014) · Brain stimulation · doi:10.1016/j.brs.2014.01.058 · Cited by 158
Chistiakova, M., Bannon, N. M., Bazhenov, M., & Volgushev, M. (2014) · The Neuroscientist · doi:10.1177/1073858414529829 · Cited by 158
Mansvelder, H. D., Verhoog, M. B., & Goriounova, N. A. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.06.013 · Cited by 170
Spike timing dependent synaptic plasticity in biological systems
Roberts, P. D., & Bell, C. C. (2002) · Biological Cybernetics · doi:10.1007/s00422-002-0361-y · Cited by 160
Inflammation Subverts Hippocampal Synaptic Plasticity in Experimental Multiple Sclerosis
Nisticò, R., Mango, D., Mandolesi, G., Piccinin, S., Berretta, N., Pignatelli, M., Feligioni, M., Musella, A., Gentile, A., Mori, F., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054666 · Cited by 161
Methods of therapeutic cortical stimulation
Lefaucheur, J. P. (2008) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2008.11.001 · Cited by 155
The next generation of approaches to investigate the link between synaptic plasticity and learning
Humeau, Y., & Choquet, D. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0480-6 · Cited by 158
Disruption of AMPA Receptor Endocytosis Impairs the Extinction, but not Acquisition of Learned Fear
Dalton, G. L., Wang, Y. T., Floresco, S., & Phillips, A. G. (2007) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301642 · Cited by 154
Kemp, A., & Manahan‐Vaughan, D. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm136 · Cited by 165
Donald O. Hebb's synapse and learning rule: a history and commentary
Cooper, S. J. (2004) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2004.09.009 · Cited by 166
Benwell, C., Learmonth, G., Miniussi, C., Harvey, M., & Thut, G. (2015) · Cortex · doi:10.1016/j.cortex.2015.05.007 · Cited by 151
The associative brain at work: Evidence from paired associative stimulation studies in humans
Suppa, A., Quartarone, A., Siebner, H. R., Chen, R. E., Lazzaro, V. D., Giudice, P. D., Paulus, W., Rothwell, J. C., Ziemann, U., & Claßen, J. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.08.003 · Cited by 153
Daoudal, G., Hanada, Y., & Debanne, D. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.222546399 · Cited by 153
Sleep recalibrates homeostatic and associative synaptic plasticity in the human cortex
Kuhn, M., Wolf, E., Maier, J. G., Mainberger, F., Feige, B., Schmid, H., Bürklin, J., Maywald, S., Mall, V., Jung, N. H., et al. (2016) · Nature Communications · doi:10.1038/ncomms12455 · Cited by 152
Wörgötter, F., & Porr, B. (2005) · Neural Computation · doi:10.1162/0899766053011555 · Cited by 203
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression
Clopath, C., Ziegler, L., Vasilaki, E., Buesing, L., & Wulfram Gerstner, B. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000248 · Cited by 145
Cormier, R. J., Greenwood, A. C., & Connor, J. A. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.1.399 · Cited by 152
Madhavan, S., Weber, K. A., II, & Stinear, J. W. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2511-0 · Cited by 151
In-memory computing with emerging memory devices: Status and outlook
Mannocci, P., Farronato, M., Lepri, N., Cattaneo, L., Glukhov, A., Sun, Z., & Ielmini, D. (2023) · APL Machine Learning · doi:10.1063/5.0136403 · Cited by 167
A Molecular Mechanism for Stabilization of Learning-Induced Synaptic Modifications
Quinlan, E. M., Lebel, D., Brosh, I., & Barkai, E. (2004) · Neuron · doi:10.1016/s0896-6273(03)00874-2 · Cited by 161
Spatial Signaling in the Development and Function of Neural Connections
Montague, P. R., Gally, J. A., & Edelman, G. M. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.3.199 · Cited by 150
Murakami, T., Müller‐Dahlhaus, F., Lu, M., & Ziemann, U. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.238519 · Cited by 149
The Role of Activity in Development of the Visual System
Sengpiel, F., & Kind, P. C. (2002) · Current Biology · doi:10.1016/s0960-9822(02)01318-0 · Cited by 149
Phasic Voluntary Movements Reverse the Aftereffects of Subsequent Theta-Burst Stimulation in Humans
Iezzi, E., Conte, A., Suppa, A., Agostino, R., Dinapoli, L., Scontrini, A., & Berardelli, A. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90521.2008 · Cited by 146
Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity
Frémaux, N., Sprekeler, H., & Wulfram Gerstner, B. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.6249-09.2010 · Cited by 146
Glutamate Dysfunction in Hippocampus: Relevance of Dentate Gyrus and CA3 Signaling
Tamminga, C. A., Southcott, S. A., Sacco, C., Wagner, A. D., & Ghose, S. (2012) · Schizophrenia Bulletin · doi:10.1093/schbul/sbs062 · Cited by 152
Big data and the industrialization of neuroscience: A safe roadmap for understanding the brain?
Frégnac, Y. (2017) · Science · doi:10.1126/science.aan8866 · Cited by 152
Nonmonotonic Plasticity: How Memory Retrieval Drives Learning
Ritvo, V. J. H., Turk‐Browne, N. B., & Norman, K. A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.06.007 · Cited by 154
Troyer, T. W., & Doupe, A. J. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.3.1204 · Cited by 145
The role of astrocyte‐mediated plasticity in neural circuit development and function
Perez-Catalan, N. A., Doe, C. Q., & Ackerman, S. D. (2021) · Neural Development · doi:10.1186/s13064-020-00151-9 · Cited by 146
Climbing Neuronal Activity as an Event-Based Cortical Representation of Time
Reutimann, J., Yakovlev, V., Fusi, S., & Senn, W. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.4098-03.2004 · Cited by 143
Neuronal oscillations: unavoidable and useful?
Singer, W. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13796 · Cited by 153
Understanding the Neural Basis of Amblyopia
Barrett, B. T., Bradley, A., & McGraw, P. V. (2004) · The Neuroscientist · doi:10.1177/1073858403262153 · Cited by 144
NMDA receptors and metaplasticity: Mechanisms and possible roles in neuropsychiatric disorders
Zorumski, C. F., & Izumi, Y. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.12.011 · Cited by 145
Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing
Azghadi, M. R., Chen, Y., Eshraghian, J. K., Chen, J., Lin, C.-Y., Amirsoleimani, A., Mehonić, A., Kenyon, A. J., Fowler, B. W., Lee, J. C., et al. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.201900189 · Cited by 141
Redundancy Reduction as a Strategy for Unsupervised Learning
Redlich, A. (1993) · Neural Computation · doi:10.1162/neco.1993.5.2.289 · Cited by 142
Invasive Cortical Stimulation to Promote Recovery of Function After Stroke
Plow, E. B., Carey, J. R., Nudo, R. J., & Pascual‐Leone, Á. (2009) · Stroke · doi:10.1161/strokeaha.108.540823 · Cited by 141
Long-term modifications of synaptic efficacy in the human inferior and middle temporal cortex.
Chen, W. R., Lee, S., Kato, K., Spencer, D. D., Shepherd, G. M., & Williamson, A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.15.8011 · Cited by 146
A Morphological Correlate of Synaptic Scaling in Visual Cortex
Wallace, W., & Bear, M. F. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1110-04.2004 · Cited by 141
Dendritic ion channel trafficking and plasticity
Shah, M. M., Hammond, R., & Hoffman, D. A. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.03.002 · Cited by 142
Tetzlaff, C. (2011) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2011.00047 · Cited by 142
Lifelong learning: ocular dominance plasticity in mouse visual cortex
Hofer, S. B., Mrsic‐Flogel, T. D., Bonhoeffer, T., & Hübener, M. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.06.007 · Cited by 142
Controversy: Noninvasive and invasive cortical stimulation show efficacy in treating stroke patients
Hummel, F. C., Celnik, P. A., Pascual-Leone, A., Fregni, F., Byblow, W. D., Buetefisch, C. M., Rothwell, J. C., Cohen, L. G., & Gerloff, C. P. (2008) · Brain stimulation · doi:10.1016/j.brs.2008.09.003 · Cited by 140
Ngezahayo, A., Schachner, M., & Artola, A. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-07-02451.2000 · Cited by 139
Glia: they make your memories stick!
Bains, J. S., & Oliet, S. H. R. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.06.007 · Cited by 145
Wade, J. J., Mcdaid, L. J., Harkin, J., Crunelli, V., & Kelso, J. A. S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0029445 · Cited by 143
Decoding neuronal firing and modelling neural networks
Abbott, L. F. (1994) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583500003024 · Cited by 134
Adenosine: setting the stage for plasticity
Dias, R. B., Rombo, D. M., Ribeiro, J. A., Henley, J. M., & Sebastião, A. M. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2012.12.003 · Cited by 145
Cerebellar Processing of Sensory Inputs Primes Motor Cortex Plasticity
Popa, T., Velayudhan, B., Hubsch, C. A., Pradeep, S., Roze, E. F., Vidailhet, M., Meunier, S., & Kishore, A. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs016 · Cited by 138
Lefaucheur, J. P., André‐Obadia, N., Poulet, E., Devanne, H., Haffen, É., Londero, A., Cretin, B., Leroi, A., Radtchenko, A., Saba, G., et al. (2011) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2011.10.062 · Cited by 138
Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
Triesch, J. (2007) · Neural Computation · doi:10.1162/neco.2007.19.4.885 · Cited by 134
Principles of therapeutic use of transcranial and epidural cortical stimulation
Lefaucheur, J. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.07.007 · Cited by 140
Synaptic basis for developmental plasticity in somatosensory cortex
Foeller, E., & Feldman, D. E. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.01.011 · Cited by 136
Brain plasticity and ion channels
Debanne, D., Daoudal, G., Sourdet, V., & Russier, M. (2003) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2004.01.004 · Cited by 135
Roberts, E. B., Meredith, M. A., & Ramoa, A. S. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.3.1021 · Cited by 137
A kinetic mechanism for nicotinic acetylcholine receptors based on multiple allosteric transitions.
Edelstein, S. J., Schaad, O., Henry, E., Bertrand, D., & Changeux, J.-P. (1996) · Biological Cybernetics · doi:10.1007/s004220050302 · Cited by 134
Pollock, G. S., Vernon, E. M., Forbes, M. E., Yan, Q., Ma, Y.-T., Hsieh, T., Robichon, R., Frost, D. O., & Johnson, J. E. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-11-03923.2001 · Cited by 134
The discovery of structure by multi-stream networks of local processors with contextual guidance
Phillips, W. A., Kay, J., & Smyth, D. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x_6_2_005 · Cited by 133
Synaptic Plasticity, Metaplasticity and Depression
Vose, L. R., & Stanton, P. K. (2016) · Current Neuropharmacology · doi:10.2174/1570159x14666160202121111 · Cited by 131
Independent mechanisms for long-term depression of AMPA and NMDA responses.
Selig, D. K., Hjelmstad, G., Herron, C., Nicoll, R., & Malenka, R. (1995) · Neuron · doi:10.1016/0896-6273(95)90045-4 · Cited by 137
Neural plasticity and its contribution to functional recovery
Sharma, N., Claßen, J., & Cohen, L. G. (2013) · Handbook of clinical neurology · doi:10.1016/b978-0-444-52901-5.00001-0 · Cited by 144
Yeh, C.-M., Huang, C., & Hsu, K. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2011.222042 · Cited by 130
Legenstein, R. A., Chase, S. M., Schwartz, A. B., & Maass, W. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4284-09.2010 · Cited by 126
βCaMKII controls the direction of plasticity at parallel fiber–Purkinje cell synapses
van Woerden, G. M., Hoebeek, F. E., Gao, Z., Nagaraja, R. Y., Hoogenraad, C. C., Kushner, S. A., Hansel, C., Zeeuw, C. I. D., & Elgersma, Y. (2009) · Nature Neuroscience · doi:10.1038/nn.2329 · Cited by 132
Reviews: Mechanisms Mediating Brain Plasticity: IGF1 and Adult Hippocampal Neurogenesis
Llorens-Martı́n, M., Torres‐Alemán, I., & Trejo, J. L. (2009) · The Neuroscientist · doi:10.1177/1073858408331371 · Cited by 134
Moskal, J. R., Burch, R. M., Burgdorf, J. S., Kroes, R. A., Stanton, P. K., Disterhoft, J. F., & Leander, J. D. (2013) · Expert Opinion on Investigational Drugs · doi:10.1517/13543784.2014.852536 · Cited by 133
Agboada, D., Mosayebi-Samani, M., Kuo, M., & Nitsche, M. A. (2020) · Brain stimulation · doi:10.1016/j.brs.2020.04.009 · Cited by 131
Bidirectional Changes in Spatial Dendritic Integration Accompanying Long-Term Synaptic Modifications
Wang, Z., Xu, N.-L., Wu, C.-P., Duan, S., & Poo, M. (2003) · Neuron · doi:10.1016/s0896-6273(02)01189-3 · Cited by 131
Almássy, N. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.4.346 · Cited by 131
Garagnani, M., Wennekers, T., & Friedemann Pulvermüller, A. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06015.x · Cited by 136
Molecular Switches at the Synapse Emerge from Receptor and Kinase Traffic
Hayer, A., & Bhalla, U. S. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010020 · Cited by 127
Bibbig, A., Traub, R. D., & Whittington, M. A. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.4.1634 · Cited by 134
Statistical mechanics of neocortical interactions. Dynamics of synaptic modification
Ingber, L. (1983) · Physical Review A · doi:10.1103/physreva.28.395 · Cited by 130
GURNEY, K. N., Humphries, M. D., & Redgrave, P. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002034 · Cited by 127
Modeling the Dynamic Interaction of Hebbian and Homeostatic Plasticity
Toyoizumi, T., Kaneko, M., Stryker, M. P., & Miller, K. D. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.036 · Cited by 129
Inhibitory Control of LTP and LTD: Stability of Synapse Strength
Steele, P. M., & Mauk, M. D. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.4.1559 · Cited by 129
Plasticity resembling spike-timing dependent synaptic plasticity: the evidence in human cortex
Müller-Dahlhaus (2010) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2010.00034 · Cited by 133
Postsynaptic Depolarization Scales Quantal Amplitude in Cortical Pyramidal Neurons
Leslie, K. R., Nelson, S. B., & Turrigiano, G. G. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-19-j0005.2001 · Cited by 128
Mechanisms Underlying the Rules for Associative Plasticity at Adult Human Neocortical Synapses
Verhoog, M. B., Goriounova, N. A., Obermayer, J., Stroeder, J., Hjorth, J. J. J., Testa-Silva, G., Baayen, J. C., de Kock, C. P. J., Meredith, R. M., & Mansvelder, H. D. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3158-13.2013 · Cited by 127
Nicoll, R. A., & Schulman, H. (2023) · Physiological Reviews · doi:10.1152/physrev.00034.2022 · Cited by 126
Molecular mechanisms of experience-dependent plasticity in visual cortex
Tropea, D., Wart, A. V., & Sur, M. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0269 · Cited by 130
Sarkar, D., Tao, J., Wang, W., Lin, Q., Yeung, M., Ren, C., & Kapadia, R. (2018) · ACS Nano · doi:10.1021/acsnano.7b08272 · Cited by 126
Synaptic plasticity rules with physiological calcium levels
Inglebert, Y., Aljadeff, J., Brunel, N., & Debanne, D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013663117 · Cited by 124
Priming-Induced Shift in Synaptic Plasticity in the Rat Hippocampus
Wang, H., & Wagner, J. J. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.4.2024 · Cited by 126
Körte, M., Staiger, V., Griesbeck, O., Thoenen, H., & Bonhoeffer, T. (1996) · Journal of Physiology-Paris · doi:10.1016/s0928-4257(97)81415-5 · Cited by 126
Campanac, E., & Debanne, D. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2007.147017 · Cited by 127
Pi, H. J., Otmakhov, N., Lemelin, D., De Koninck, P., & Lisman, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0133-10.2010 · Cited by 125
Using theoretical models to analyse neural development
van Ooyen, A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3031 · Cited by 130
The rat perirhinal cortex: A review of anatomy, physiology, plasticity, and function
Kealy, J., & Commins, S. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.03.002 · Cited by 123
Lefaucheur, J., Ayache, S., Sorel, M., Farhat, W., Zouari, H., de Andrade, D. D., Ahdab, R., Ménard-Lefaucheur, I., Brugières, P., & Goujon, C. (2012) · European Journal of Pain · doi:10.1002/j.1532-2149.2012.00150.x · Cited by 117
Evidence of Neuroplastic Changes after Transcranial Magnetic, Electric, and Deep Brain Stimulation
Kricheldorff, J., Göke, K., Kiebs, M., Kasten, F. H., Herrmann, C. S., Witt, K., & Hurlemann, R. (2022) · Brain Sciences · doi:10.3390/brainsci12070929 · Cited by 137
Matching Recall and Storage in Sequence Learning with Spiking Neural Networks
Brea, J. M., Senn, W., & Pfister, J.-P. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4098-12.2013 · Cited by 120
Mechanism-based approaches to treating fragile X
Dölen, G., Carpenter, R. L., Ocain, T. D., & Bear, M. F. (2010) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2010.02.008 · Cited by 129
Full imitation of synaptic metaplasticity based on memristor devices
Wu, Q., Wang, H., Luo, Q., Banerjee, W., Cao, J., Zhang, X., Wu, F., Liu, Q., Li, L., & Liu, M. (2018) · Nanoscale · doi:10.1039/c8nr00222c · Cited by 124
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review