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[Mechanisms of development of long-periodicity oscillations in activity in nerve nets. Stochastically uniform nerve nets].

Authors: A M, Degtiarenko;

[Mechanisms of development of long-periodicity oscillations in activity in nerve nets. Stochastically uniform nerve nets].

Abstract

The possibility of generation of long-term activity in the stochastic uniform networks consisting of neuron-like threshold elements was analyzed by the mathematical simulation model. It was shown that the long-term (hundreds of milliseconds) self-stopping activity in the networks with a positive feed-back between units can be generated. Termination of the activity was based on the following factors: 1) stochastic properties of network processes which determine the fluctuations of the activity level; 2) neuronal interaction leading either to synchronization of neuronal discharges and respectively to postactivation inhibitory processes, or to reconstruction of the microstructure of the neuronal network activity when weak-connected neurons are predominantly excited. Basing on the data obtained possible participation of the mechanism involved in formation of the long-term self-stopping activity of interneuronal networks of the spinal cord realizing different types of programmed rhythmical activity (generators) is discussed.

Keywords

Periodicity, Stochastic Processes, Computers, Models, Neurological, Neural Conduction, Nervous System Physiological Phenomena, Nerve Net, Synaptic Transmission, Mathematics, Feedback, Membrane Potentials

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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