PYTHON code to calculate spike-triggered average (STA) conductances from intracellular recordings, according to the method published by Pospischil et al., J Neurophysiol, 2007. The method consists of a maximum likelihood estimate of the conductance STA, from the voltage STA (which is calculated from the data). The method was tested using models and dynamic-clamp experiments; for details, see the original publication (Pospischil et al., 2007). The first application of this method to experimental data was from intracellular recordings in awake cat cerebral cortex (Rudolph et al., 2007).
Model Type: Synapse
Cell Type(s): Abstract integrate-and-fire leaky neuron
Model Concept(s): Methods; Sleep; Activity Patterns
Simulation Environment: Python
Implementer(s): Destexhe, Alain [Destexhe at iaf.cnrs-gif.fr]; Pospischil, Martin
References:
Pospischil M, Piwkowska Z, Rudolph M, Bal T, Destexhe A. (2007). Calculating event-triggered average synaptic conductances from the membrane potential. Journal of neurophysiology. 97 [PubMed]
Rudolph M, Pospischil M, Timofeev I, Destexhe A. (2007). Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]