Abarbanel HD, Talathi SS, Gibb L, Rabinovich MI. (2005). Synaptic plasticity with discrete state synapses. Physical review. E, Statistical, nonlinear, and soft matter physics. 72 [PubMed]
Abbott LF, Dayan P. (2001). Theoretical Neuroscience. Computational and Mathematical Modeling of Neural Systems.
Abraham WC, Logan B, Greenwood JM, Dragunow M. (2002). Induction and experience-dependent consolidation of stable long-term potentiation lasting months in the hippocampus. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]
Amit DJ, Fusi S. (1994). Learning in neural networks with material synapses Neural Comput. 6
Atick JJ, Redlich AN. (1990). Towards a theory of early visual processing. Neural Comput. 2
BARLOW HB. (1956). Retinal noise and absolute threshold. Journal of the Optical Society of America. 46 [PubMed]
Barlow HB. (1959). Possible principles underlying the transformations of sensory messages Sensory communication: Contributions to the Symposium on Principles of Sensory Communication.
Bell AJ, Parra LC. (2005). Maximising sensitivity in a spiking network Advances in neural information processing systems. 17
Bell AJ, Sejnowski TJ. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural computation. 7 [PubMed]
Bi G, Poo M. (2001). Synaptic modification by correlated activity: Hebb's postulate revisited. Annual review of neuroscience. 24 [PubMed]
Bi GQ, Poo MM. (1998). Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]
Bienenstock EL, Cooper LN, Munro PW. (1982). Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2 [PubMed]
Bliss TV, Collingridge GL. (1993). A synaptic model of memory: long-term potentiation in the hippocampus. Nature. 361 [PubMed]
Bliss TV, Gardner-Medwin AR. (1973). Long-lasting potentiation of synaptic transmission in the dentate area of the unanaestetized rabbit following stimulation of the perforant path. The Journal of physiology. 232 [PubMed]
Bortolotto ZA, Lauri S, Isaac JT, Collingridge GL. (2003). Kainate receptors and the induction of mossy fibre long-term potentiation. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 358 [PubMed]
Britten KH, Shadlen MN, Newsome WT, Movshon JA. (1992). The analysis of visual motion: a comparison of neuronal and psychophysical performance. The Journal of neuroscience : the official journal of the Society for Neuroscience. 12 [PubMed]
Brunel N, Hakim V, Isope P, Nadal JP, Barbour B. (2004). Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell. Neuron. 43 [PubMed]
Buonomano DV, Merzenich MM. (1998). Cortical plasticity: from synapses to maps. Annual review of neuroscience. 21 [PubMed]
Chechik G. (2003). Spike-timing-dependent plasticity and relevant mutual information maximization. Neural computation. 15 [PubMed]
Cover TM, Thomas JA. (1991). Elements of Information Theory.
Dudek SM, Bear MF. (1992). Homosynaptic long-term depression in area CA1 of hippocampus and effects of N-methyl-D-aspartate receptor blockade. Proceedings of the National Academy of Sciences of the United States of America. 89 [PubMed]
Erwin E, Obermayer K, Schulten K. (1995). Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. Neural computation. 7 [PubMed]
Fonseca R, Nägerl UV, Morris RG, Bonhoeffer T. (2004). Competing for memory: hippocampal LTP under regimes of reduced protein synthesis. Neuron. 44 [PubMed]
Frey U, Morris RG. (1997). Synaptic tagging and long-term potentiation. Nature. 385 [PubMed]
Froemke RC, Poo MM, Dan Y. (2005). Spike-timing-dependent synaptic plasticity depends on dendritic location. Nature. 434 [PubMed]
Fusi S. (2002). Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates. Biological cybernetics. 87 [PubMed]
Fusi S, Annunziato M, Badoni D, Salamon A, Amit DJ. (2000). Spike-driven synaptic plasticity: theory, simulation, VLSI implementation. Neural computation. 12 [PubMed]
Fusi S, Drew PJ, Abbott LF. (2005). Cascade models of synaptically stored memories. Neuron. 45 [PubMed]
Gerstner W, Aihara K, Toyoizumi T, Pfister JP. (2005). Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model Advances in neural information processing systems. 17
Gerstner W, Kempter R, van Hemmen JL, Wagner H. (1996). A neuronal learning rule for sub-millisecond temporal coding. Nature. 383 [PubMed]
Grossberg S. (1987). The adaptive brain..
Gütig R, Aharonov R, Rotter S, Sompolinsky H. (2003). Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
HUBEL DH, WIESEL TN. (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of physiology. 160 [PubMed]
Hebb DO. (1949). The Organization Of Behavior.
Hertz J, Krogh A, Palmer RG. (1991). Introduction to the Theory of Neural Computation..
Katz LC, Shatz CJ. (1996). Synaptic activity and the construction of cortical circuits. Science (New York, N.Y.). 274 [PubMed]
Kelso SR, Ganong AH, Brown TH. (1986). Hebbian synapses in hippocampus. Proceedings of the National Academy of Sciences of the United States of America. 83 [PubMed]
Kempter R, Gerstner W, van Hemmen JL. (2001). Intrinsic stabilization of output rates by spike-based Hebbian learning. Neural computation. 13 [PubMed]
Kistler WM, Gerstner W. (2002). Spiking neuron models.
Kullmann DM. (2003). Silent synapses: what are they telling us about long-term potentiation? Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 358 [PubMed]
Laughlin S. (1981). A simple coding procedure enhances a neuron's information capacity. Zeitschrift fur Naturforschung. Section C, Biosciences. 36 [PubMed]
Laughlin SB, de Ruyter van Steveninck RR, Anderson JC. (1998). The metabolic cost of neural information. Nature neuroscience. 1 [PubMed]
Levy WB, Baxter RA. (2002). Energy-efficient neuronal computation via quantal synaptic failures. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]
Linsker R. (1986). From basic network principles to neural architecture: emergence of spatial-opponent cells. Proceedings of the National Academy of Sciences of the United States of America. 83 [PubMed]
Linsker R. (1989). How to generate maps by maximizing the mutual information between input and output signals Neural Comput. 1
Lisman J. (1989). A mechanism for the Hebb and the anti-Hebb processes underlying learning and memory. Proceedings of the National Academy of Sciences of the United States of America. 86 [PubMed]
Lisman J. (2003). Long-term potentiation: outstanding questions and attempted synthesis. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 358 [PubMed]
Malenka RC, Kauer JA, Zucker RS, Nicoll RA. (1988). Postsynaptic calcium is sufficient for potentiation of hippocampal synaptic transmission. Science (New York, N.Y.). 242 [PubMed]
Malenka RC, Nicoll RA. (1993). NMDA-receptor-dependent synaptic plasticity: multiple forms and mechanisms. Trends in neurosciences. 16 [PubMed]
Markram H, Lübke J, Frotscher M, Sakmann B. (1997). Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science (New York, N.Y.). 275 [PubMed]
Merzenich MM et al. (1984). Somatosensory cortical map changes following digit amputation in adult monkeys. The Journal of comparative neurology. 224 [PubMed]
Miller KD, Keller JB, Stryker MP. (1989). Ocular dominance column development: analysis and simulation. Science (New York, N.Y.). 245 [PubMed]
Miller KD, MacKay DJC . (1994). The role of constraints in Hebbian learning. Neural Comput. 6
Mozer MC, Bohte SM. (2005). Reducing spike train variability: A computational theory of spike-timing dependent plasticity Advances in neural information processing systems. 17
Oja E. (1982). A simplified neuron model as a principal component analyzer. Journal of mathematical biology. 15 [PubMed]
Petersen CC, Malenka RC, Nicoll RA, Hopfield JJ. (1998). All-or-none potentiation at CA3-CA1 synapses. Proceedings of the National Academy of Sciences of the United States of America. 95 [PubMed]
Pfister JP, Toyoizumi T, Barber D, Gerstner W. (2006). Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. Neural computation. 18 [PubMed]
Rubin J, Lee DD, Sompolinsky H. (2001). Equilibrium properties of temporally asymmetric Hebbian plasticity. Physical review letters. 86 [PubMed]
Schultz W, Dayan P, Montague PR. (1997). A neural substrate of prediction and reward. Science (New York, N.Y.). 275 [PubMed]
Senn W, Markram H, Tsodyks M. (2001). An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing. Neural computation. 13 [PubMed]
Seung HS. (2003). Learning in spiking neural networks by reinforcement of stochastic synaptic transmission. Neuron. 40 [PubMed]
Shouval HZ, Intrator N, Cooper L, Blais BB. (2004). Theory of cortical plasticity.
Sjöström PJ, Turrigiano GG, Nelson SB. (2001). Rate, timing, and cooperativity jointly determine cortical synaptic plasticity. Neuron. 32 [PubMed]
Sjöström PJ, Turrigiano GG, Nelson SB. (2004). Endocannabinoid-dependent neocortical layer-5 LTD in the absence of postsynaptic spiking. Journal of neurophysiology. 92 [PubMed]
Song S, Abbott L. (2001). Column and map development and cortical re-mapping through spike-timing dependent plasticity Neuron. 32
Song S, Miller KD, Abbott LF. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature neuroscience. 3 [PubMed]
Toyoizumi T, Pfister JP, Aihara K, Gerstner W. (2005). Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]
Turrigiano GG, Nelson SB. (2004). Homeostatic plasticity in the developing nervous system. Nature reviews. Neuroscience. 5 [PubMed]
Yeung LC, Shouval HZ, Blais BS, Cooper LN. (2004). Synaptic homeostasis and input selectivity follow from a calcium-dependent plasticity model. Proceedings of the National Academy of Sciences of the United States of America. 101 [PubMed]
Zhang LI, Tao HW, Holt CE, Harris WA, Poo M. (1998). A critical window for cooperation and competition among developing retinotectal synapses. Nature. 395 [PubMed]
Zhou Q, Tao HW, Poo MM. (2003). Reversal and stabilization of synaptic modifications in a developing visual system. Science (New York, N.Y.). 300 [PubMed]
de Ruyter van Steveninck RR, Bialek W. (1995). Reliability and statistical efficiency of a blowfly movement-sensitive neuron Phil Trans R Soc Lond Ser B. 348
van Hemmen JL, Gerstner W, Kempter R. (1999). Hebbian learning and spiking neurons Physical Review E. 59
van Rossum MC, Bi GQ, Turrigiano GG. (2000). Stable Hebbian learning from spike timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]
von der Malsburg C. (1973). Self-organization of orientation sensitive cells in the striate cortex. Kybernetik. 14 [PubMed]
Clopath C, Ziegler L, Vasilaki E, Büsing L, Gerstner W. (2008). Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS computational biology. 4 [PubMed]