Citation Relationships



Fusi S (2002) Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates. Biol Cybern 87:459-70 [PubMed]

References and models cited by this paper

References and models that cite this paper

Appleby PA, Elliott T (2005) Synaptic and temporal ensemble interpretation of spike-timing-dependent plasticity. Neural Comput 17:2316-36 [Journal] [PubMed]

Brader JM, Senn W, Fusi S (2007) Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Comput 19:2881-912 [Journal] [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 Comput Biol 4:e1000248 [Journal] [PubMed]

   Tag Trigger Consolidation (Clopath and Ziegler et al. 2008) [Model]

Molter C, Salihoglu U, Bersini H (2007) The road to chaos by time-asymmetric Hebbian learning in recurrent neural networks. Neural Comput 19:80-110 [Journal] [PubMed]

Saudargiene A, Porr B, Wörgötter F (2004) How the shape of pre- and postsynaptic signals can influence STDP: a biophysical model. Neural Comput 16:595-625 [Journal] [PubMed]

Senn W, Fusi S (2005) Learning only when necessary: better memories of correlated patterns in networks with bounded synapses. Neural Comput 17:2106-38 [Journal] [PubMed]

Soltani A, Wang XJ (2006) A biophysically based neural model of matching law behavior: melioration by stochastic synapses. J Neurosci 26:3731-44 [Journal] [PubMed]

Toyoizumi T, Pfister JP, Aihara K, Gerstner W (2007) Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution. Neural Comput 19:639-71 [Journal] [PubMed]

Wörgötter F, Porr B (2005) Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms. Neural Comput 17:245-319 [Journal] [PubMed]

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