Rudolph M, Destexhe A. (2006). On the use of analytical expressions for the voltage distribution to analyze intracellular recordings. Neural computation. 18 [PubMed]

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References and models cited by this paper

Destexhe A, Rudolph M, Fellous JM, Sejnowski TJ. (2001). Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience. 107 [PubMed]

Hines ML, Carnevale NT. (1997). The NEURON simulation environment. Neural computation. 9 [PubMed]

Lindner B, Longtin A. (2006). Comment on "Characterization of subthreshold voltage fluctuations in neuronal membranes," by M. Rudolph and A. Destexhe. Neural computation. 18 [PubMed]

Moreno-Bote R, Parga N. (2005). Membrane potential and response properties of populations of cortical neurons in the high conductance state. Physical review letters. 94 [PubMed]

Richardson MJ. (2004). Effects of synaptic conductance on the voltage distribution and firing rate of spiking neurons. Physical review. E, Statistical, nonlinear, and soft matter physics. 69 [PubMed]

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

Rudolph M, Destexhe A. (2005). An extended analytic expression for the membrane potential distribution of conductance-based synaptic noise. Neural computation. 17 [PubMed]

Rudolph M, Pelletier JG, Paré D, Destexhe A. (2005). Characterization of synaptic conductances and integrative properties during electrically induced EEG-activated states in neocortical neurons in vivo. Journal of neurophysiology. 94 [PubMed]

Rudolph M, Piwkowska Z, Badoual M, Bal T, Destexhe A. (2004). A method to estimate synaptic conductances from membrane potential fluctuations. Journal of neurophysiology. 91 [PubMed]

References and models that cite this paper

Ermentrout GB, Terman DH. (2010). Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics. 35

Spain WJ, Fairhall AL, Lundstrom BN, Famulare M, Sorensen LB. (2009). Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons J Comput Neurosci. in press

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