Bi G, Poo M. (2001). Synaptic modification by correlated activity: Hebb's postulate revisited. Annual review of neuroscience. 24 [PubMed]

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References and models cited by this paper
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Antunes G, Faria da Silva SF, Simoes de Souza FM. (2018). Mirror Neurons Modeled Through Spike-Timing-Dependent Plasticity are Affected by Channelopathies Associated with Autism Spectrum Disorder. International journal of neural systems. 28 [PubMed]

Benuskova L, Abraham WC. (2007). STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity. Journal of computational neuroscience. 22 [PubMed]

Bianchi D et al. (2014). Effects of increasing CREB-dependent transcription on the storage and recall processes in a hippocampal CA1 microcircuit. Hippocampus. 24 [PubMed]

Bohte SM, Mozer MC. (2007). Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity. Neural computation. 19 [PubMed]

Burkitt AN, Meffin H, Grayden DB. (2004). Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. Neural computation. 16 [PubMed]

Chao TC, Chen CM. (2005). Learning-induced synchronization and plasticity of a developing neural network. Journal of computational neuroscience. 19 [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]

Gerkin RC, Lau PM, Nauen DW, Wang YT, Bi GQ. (2007). Modular competition driven by NMDA receptor subtypes in spike-timing-dependent plasticity. Journal of neurophysiology. 97 [PubMed]

Gerstner W, Kistler WM. (2002). Mathematical formulations of Hebbian learning. Biological cybernetics. 87 [PubMed]

Gilson M, Masquelier T, Hugues E. (2011). STDP allows fast rate-modulated coding with Poisson-like spike trains. PLoS computational biology. 7 [PubMed]

Guyonneau R, VanRullen R, Thorpe SJ. (2005). Neurons tune to the earliest spikes through STDP. Neural computation. 17 [PubMed]

Huang CH, Huang YT, Chen CC, Chan CK. (2017). Propagation and synchronization of reverberatory bursts in developing cultured networks. Journal of computational neuroscience. 42 [PubMed]

Karmarkar UR, Najarian MT, Buonomano DV. (2002). Mechanisms and significance of spike-timing dependent plasticity. Biological cybernetics. 87 [PubMed]

Kobayashi T, Shimada Y, Fujiwara K, Ikeguchi T. (2017). Reproducing Infra-Slow Oscillations with Dopaminergic Modulation. Scientific reports. 7 [PubMed]

Masquelier T, Hugues E, Deco G, Thorpe SJ. (2009). Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M. (2005). Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural computation. 17 [PubMed]

Rudolph M, Destexhe A. (2003). A fast-conducting, stochastic integrative mode for neocortical neurons in vivo. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

Saudargiene A, Cobb S, Graham BP. (2015). A computational study on plasticity during theta cycles at Schaffer collateral synapses on CA1 pyramidal cells in the hippocampus. Hippocampus. 25 [PubMed]

Saudargiene A, Porr B, Wörgötter F. (2004). How the shape of pre- and postsynaptic signals can influence STDP: a biophysical model. Neural computation. 16 [PubMed]

Schulz R, Reggia JA. (2004). Temporally asymmetric learning supports sequence processing in multi-winner self-organizing maps. Neural computation. 16 [PubMed]

Senn W, Buchs NJ. (2003). Spike-based synaptic plasticity and the emergence of direction selective simple cells: mathematical analysis. Journal of computational neuroscience. 14 [PubMed]

Skorheim S, Razak K, Bazhenov M. (2014). Network models of frequency modulated sweep detection. PloS one. 9 [PubMed]

Soltani A, Wang XJ. (2006). A biophysically based neural model of matching law behavior: melioration by stochastic synapses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Talathi SS, Abarbanel HD, Ditto WL. (2008). Temporal spike pattern learning. Physical review. E, Statistical, nonlinear, and soft matter physics. 78 [PubMed]

Tamosiunaite M, Porr B, Wörgötter F. (2007). Self-influencing synaptic plasticity: recurrent changes of synaptic weights can lead to specific functional properties. Journal of computational neuroscience. 23 [PubMed]

Teramae JN, Fukai T. (2007). Local cortical circuit model inferred from power-law distributed neuronal avalanches. Journal of computational neuroscience. 22 [PubMed]

Toyoizumi T, Pfister JP, Aihara K, Gerstner W. (2007). Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution. Neural computation. 19 [PubMed]

Urakubo H, Aihara T, Kuroda S, Watanabe M, Kondo S. (2004). Spatial localization of synapses required for supralinear summation of action potentials and EPSPs. Journal of computational neuroscience. 16 [PubMed]

Urakubo H, Honda M, Froemke RC, Kuroda S. (2008). Requirement of an allosteric kinetics of NMDA receptors for spike timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Versace M, Ames H, Léveillé J, Fortenberry B, Gorchetchnikov A. (2008). KInNeSS: a modular framework for computational neuroscience. Neuroinformatics. 6 [PubMed]

Wennekers T, Ay N. (2005). Finite state automata resulting from temporal information maximization and a temporal learning rule. Neural computation. 17 [PubMed]

Wu S, Amari S. (2005). Computing with continuous attractors: stability and online aspects. Neural computation. 17 [PubMed]

Wörgötter F, Porr B. (2005). Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms. Neural computation. 17 [PubMed]

Zhou YD, Acker CD, Netoff TI, Sen K, White JA. (2005). Increasing Ca2+ transients by broadening postsynaptic action potentials enhances timing-dependent synaptic depression. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]

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