Malenka RC, Nicoll RA. (1999). Long-term potentiation--a decade of progress? Science (New York, N.Y.). 285 [PubMed]

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References and models cited by this paper
References and models that cite this paper

Benke TA et al. (2001). Mathematical modelling of non-stationary fluctuation analysis for studying channel properties of synaptic AMPA receptors. The Journal of physiology. 537 [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]

Chover J, Haberly LB, Lytton WW. (2001). Alternating dominance of NMDA and AMPA for learning and recall: a computer model. Neuroreport. 12 [PubMed]

Franks KM, Sejnowski TJ. (2002). Complexity of calcium signaling in synaptic spines. BioEssays : news and reviews in molecular, cellular and developmental biology. 24 [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]

Holmes WR, Grover LM. (2006). Quantifying the magnitude of changes in synaptic level parameters with long-term potentiation. Journal of neurophysiology. 96 [PubMed]

Jia P, Yin J, Hu D, Zhou Z. (2007). Retrograde adaptive resonance theory based on the role of nitric oxide in long-term potentiation. Journal of computational neuroscience. 23 [PubMed]

Krichmar JL, Nasuto SJ, Scorcioni R, Washington SD, Ascoli GA. (2002). Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain research. 941 [PubMed]

Kubota Y, Bower JM. (2001). Transient versus asymptotic dynamics of CaM kinase II: possible roles of phosphatase. Journal of computational neuroscience. 11 [PubMed]

Manninen T, Hituri K, Kotaleski JH, Blackwell KT, Linne ML. (2010). Postsynaptic signal transduction models for long-term potentiation and depression. Frontiers in computational neuroscience. 4 [PubMed]

Nieus T et al. (2006). LTP regulates burst initiation and frequency at mossy fiber-granule cell synapses of rat cerebellum: experimental observations and theoretical predictions. Journal of neurophysiology. 95 [PubMed]

Porr B, Wörgötter F. (2006). Strongly improved stability and faster convergence of temporal sequence learning by using input correlations only. Neural computation. 18 [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]

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]

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]

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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