Analysis of neural response for excitation-inhibition balanced networks with reversal potentials for large numbers of inputs

Author

Burkitt, A.N.

Author_Institution

Bionic Ear Inst., East Melbourne, Vic., Australia

Volume

1

fYear

1999

fDate

1999

Firstpage

305

Abstract

The observed variability in the spike rate of cortical neurons has been hypothesized to result from a balance in the excitatory and inhibitory synaptic inputs that the neurons receive. The coefficient of variation of the spike rate is calculated in the limit of a large number of inputs using the integrated-input technique, which is extended here to include the effect of reversal potentials. The output spike rate is found to increase monotonically over two orders of magnitude, thereby solving the dynamic range (or gain control) problem. The coefficient of variation is approximately 1.0 for low input rates and increases to around 1.6 at high input rates, well within the range observed in the response of cortical neurons

Keywords

neural nets; neurophysiology; physiological models; cortical neurons; excitation-inhibition balanced networks; excitatory synaptic inputs; inhibitory synaptic inputs; integrated-input technique; neural response analysis; reversal potentials; spike rate variability; Australia; Biomembranes; Brain modeling; Ear; Fires; Fluctuations; Gain control; Neurons; Numerical simulation; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.831507

Filename

831507