Carnegie Mellon University
Browse
- No file added yet -

Dynamical mechanisms underlying contrast gain control in single neurons

Download (256.57 kB)
journal contribution
posted on 1982-01-01, 00:00 authored by Yuguo Yu, Tai Sing Lee
Recent neurophysiological experiments have revealed that the linear and nonlinear kernels of the transfer function in sensory neurons are not static. Rather, they are adaptive to the contrast or the variance of time-varying input stimuli, exhibiting a contrast gain control phenomenon. We investigated the underlying biophysical causes of this phenomenon by simulating and analyzing the leaky integrate-and-fire and the Hodgkin-Huxley neuronal models. Our findings indicate that contrast gain control may result from the synergistic cooperation of the nonlinear dynamics of spike generation and the statistical properties of the stimuli. The resulting statistics-dependent stimulus threshold is shown to be a key factor underlying the adaptation of frequency tuning and amplitude gain of a neuron’s transfer function in different stimulus environments.

History

Publisher Statement

All Rights Reserved

Date

1982-01-01

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC