Legends: | Link to a Model | Reference cited by multiple papers |
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]
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] |