ePoster · Neuroscience
Conductance Based Integrate and Fire Model with Correlated Inputs Captures Neural Variability
Logan Becker, Thibaud Taillefumier, Nicholas Priebe, Eyal Seidemannn, Baowang Li · COSYNE 2023
Sat, Mar 11, 2023
The spiking activity of neurons is highly variable and is often described as a Poisson process. This variability comes from random fluctuations within the membrane potential (V) that leads to random spike times. Prior analysis has shown that the variability of V, in response to stimuli, became quenched, where the variance (σ2) decreased as the mean (μ) increased. However, recent in-vivo primate data has shown that σ2 also can increase with μ. Here we propose a new analytical and computational framework to show that conductance-based integrate-and-fire (C-IF) neurons can accurately capture μ an