Van_kampen NG. (1992). Stochastic Processes In Physics And Chemistry.

See more from authors: Van_kampen NG

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

Basalyga G, Salinas E. (2006). When response variability increases neural network robustness to synaptic noise. Neural computation. 18 [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]

Heitmann S, Breakspear M. (2017). Chapter 1 Handbook for the Brain Dynamics Toolbox: Version 2018a.

Meffin H, Burkitt AN, Grayden DB. (2004). An analytical model for the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivo. Journal of computational neuroscience. 16 [PubMed]

Mino H, Rubinstein JT, White JA. (2002). Comparison of algorithms for the simulation of action potentials with stochastic sodium channels. Annals of biomedical engineering. 30 [PubMed]

O'Donnell C, Nolan MF, van Rossum MC. (2011). Dendritic spine dynamics regulate the long-term stability of synaptic plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Rudolph M, Destexhe A. (2003). Characterization of subthreshold voltage fluctuations in neuronal membranes. Neural computation. 15 [PubMed]

Van Rossum MC. (2001). The transient precision of integrate and fire neurons: effect of background activity and noise. Journal of computational neuroscience. 10 [PubMed]

White JA, Rubinstein JT, Mino H. (2007). Response: Implementation Issues in Approximate Methods for Stochastic Hodgkin-Huxley models Ann Biomed Eng. 35(2)

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.