Irregular firing of isolated cortical interneurons in vitro driven by intrinsic stochastic mechanisms

Authors:
Bernhard Englitz;Klaus M. Stiefel;Terrence J. Sejnowski
Affiliations:
Computational Neuroscience Laboratory, Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A. benglitz@salk.edu;Computational Neuroscience Laboratory, Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A. stiefel@salk.edu;Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A., and Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, U. ...
Venue:
Neural Computation
Year:
2008

Citing 5
Cited 1

Testing for nonlinearity in time series: the method of surrogate data

Conference proceedings on Interpretation of time series from nonlinear mechanical systems
Interspike interval attractors from chaotically driven neuron models

Physica D
Surrogate time series

Physica D
Nonlinear Time Series Analysis

Nonlinear Time Series Analysis
Interspike Interval Statistics in the Stochastic Hodgkin-Huxley Model: Coexistence of Gamma Frequency Bursts and Highly Irregular Firing

Neural Computation

Identification and continuity of the distributions of burst-length and interspike intervals in the stochastic morris-lecar neuron

Neural Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Pharmacologically isolated GABAergic irregular spiking and stuttering interneurons in the mouse visual cortex display highly irregular spike times, with high coefficients of variation ≈0.9--3, in response to a depolarizing, constant current input. This is in marked contrast to cortical pyramidal cells, which spike quite regularly in response to the same current injection. We applied time-series analysis methods to show that the irregular behavior of the interneurons was not a consequence of low-dimensional, deterministic processes. These methods were also applied to the Hindmarsh and Rose neuronal model to confirm that the methods are adequate for the types of data under investigation. This result has important consequences for the origin of fluctuations observed in the cortex in vivo.