Fiete IR, Seung HS. (2006). Gradient learning in spiking neural networks by dynamic perturbation of conductances. Physical review letters. 97 [PubMed]

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

Fiete IR, Fee MS, Seung HS. (2007). Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances. Journal of neurophysiology. 98 [PubMed]

Legenstein R, Pecevski D, Maass W. (2008). A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS computational biology. 4 [PubMed]

Orio P, Soudry D. (2012). Simple, fast and accurate implementation of the diffusion approximation algorithm for stochastic ion channels with multiple states. PloS one. 7 [PubMed]

Richmond P, Buesing L, Giugliano M, Vasilaki E. (2011). Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations. PloS one. 6 [PubMed]

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