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The Role of Slow Inhibitory Neurons in a Stochastic Neural Network Model with IF Neurons  

C.J. Park (Institute of Medical and Biological Engineering, Medical Research Center, Seoul National Univ.)
In Sun Shin (Department of Mathematics Education, Korea National University of Education)
Kwang Suk Park (Department of biomedical Engineering, Seoul National University)
Publication Information
Journal of Biomedical Engineering Research / v.23, no.4, 2002 , pp. 329-332 More about this Journal
Abstract
We have investigated the role of slow inhibitory neurons in spontaneous activity using a model network controlled by stochastic mean field theory based on Integrated-and-Fire excitatory and fast inhibitory neurons. It is found that inputting slow inhibitory neurons to such network induces stable spontaneous activity at a much lower threshold than without slow inhibitory neurons in the network. This threshold range is low enough to be considered as biological threshold of cortical neurons. Only slow inhibitory neurons can give adjustable negative feedback in the network keeping lower rate and lower threshold.
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