NDLI: A feedback systems approach to modeling neural firing-rate homeostasis

Content Provider	IEEE Xplore Digital Library
Author	Chakravarthy, N. Sabesan, S. Spanias, A. Iasemidis, L. Tsakalis, K.
Copyright Year	2007
Description	Author affiliation: Arizona Proceedings State Univ., Tempe (Chakravarthy, N.; Sabesan, S.; Spanias, A.)
Abstract	We consider a cortical neural population model in an effort to understand the basic mechanisms that regulate and maintain "normal" neural firing-rate despite changes in the cortical input level. Towards this goal, we have postulated the existence of internal feedback structures that functionally model firing-rate homeostasis via the balance of excitation and inhibition. In particular, normal internal feedback action maintains normal firing-rate by regulating the strength of excitatory input from pyramidal neurons in other cortical populations, and the strength of inhibitory input from interneurons. We observe that a pathology in the internal feedback that regulates the inhibitory input can lead to seizure-like high amplitude oscillations. These arise from two mechanisms, namely, excessive specific recurrent excitation between cortical populations, and excessive non-specific excitatory input. Further, we develop an external closed-loop control technique where the controller acts to achieve the operational objective of maintaining normal firing-rate. In addition to that, the external controller is also successful in avoiding the occurrence of "seizures". The results of this analysis are consistent with recent experimental observations in the epileptic brain, and have an interesting physical interpretation and implications for the treatment of disorders such as epilepsy.
Starting Page	602
Ending Page	608
File Size	1745553
Page Count	7
File Format	PDF
ISBN	9781424414970
ISSN	01912216
DOI	10.1109/CDC.2007.4434892
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurofeedback Epilepsy Neurons Pathology Electroencephalography Context modeling Brain modeling USA Councils Motor drives Cognition
Content Type	Text
Resource Type	Article

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