Synaptic input statistics tune the variability and reproducibility of neuronal responses

DOI10.1063/1.2209427zbMath1152.92305OpenAlexW2150896004WikidataQ36527660 ScholiaQ36527660MaRDI QIDQ3531613

Alan D. Dorval, John A. White

Publication date: 3 November 2008

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.2209427

Mathematics Subject Classification ID

Neural biology (92C20)

Cites Work

• Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input
• Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains
• Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes
• Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise
• Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance

This page was built for publication: Synaptic input statistics tune the variability and reproducibility of neuronal responses