Representation of Hopfield's biological neural network via particle dynamics considerations

Within the framework of depicting the neuronal assembly as a system of interconnected cells, the activities associated with the neurons are viewed, in general, as a collective stochastical process characterized by a random proliferation of state-transitions across the interconnected units. This prog...

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Bibliographic Details
Main Authors: Neelankanta, P.S., De Groff, D., Medina, F.
Format: Conference Proceeding
Language:English
Subjects:
Biological neural networks
Cells (biology)
Chromium
Equations
History
Lead
Mechanical factors
Quantum mechanics
Reflection
Statistics
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Summary:Within the framework of depicting the neuronal assembly as a system of interconnected cells, the activities associated with the neurons are viewed, in general, as a collective stochastical process characterized by a random proliferation of state-transitions across the interconnected units. This progression of state-transitions across a neuronal assembly, where each cell is characterized randomly by a dichotomous potential state, corresponds to a 'collective movement' process. Such a stochastical process is modeled presently as a particulate motion in a disordered system with the dual characterization of a wave as well. Hence, considered are particle dynamics aspects of the neuronal collective movement of the state-transitional process.
DOI:10.1109/IJCNN.1993.713849