Complex Response to Periodic Inhibition in Simple and Detailed Neuronal Models

Constant current injection with superimposed periodic inhibition gives rise to phase locking as well as chaotic activity in rat neocortical neurons. Here we compare the behavior of a leaky integrate-and-fire neural model with that of a biophysically realistic model of the rat neuron to determine whi...

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Bibliographic Details
Published in:Neural computation 1999-01, Vol.11 (1), p.67-74
Main Authors: Bernasconi, Corrado, Schindler, Kaspar, Stoop, Ruedi, Douglas, Rodney
Format: Article
Language:English
Subjects:
Animals
Applied sciences
Artificial intelligence
chaotic behavior
Computer science
control theory
systems
Connectionism. Neural networks
Exact sciences and technology
Models, Neurological
Neural Inhibition - physiology
Neurons - physiology
Periodicity
Rats
Simulation
Software
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Summary:Constant current injection with superimposed periodic inhibition gives rise to phase locking as well as chaotic activity in rat neocortical neurons. Here we compare the behavior of a leaky integrate-and-fire neural model with that of a biophysically realistic model of the rat neuron to determine which membrane properties influence the response to such stimuli. We find that only the biophysical model with voltage-sensitive conductances can produce chaotic behavior.
ISSN:0899-7667
1530-888X
DOI:10.1162/089976699300016791