Persistent states of neural networks and the random nature of synaptic transmission

DOI10.1016/0025-5564(74)90015-7zbMath0293.92005OpenAlexW2081492300MaRDI QIDQ1212403

S. Singh

Publication date: 1974

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0025-5564(74)90015-7

Mathematics Subject Classification ID

General biology and biomathematics (92B05)

Related Items (13)

Statistical mechanics of neocortical interactions: large-scale EEG influences on molecular processes ⋮ Nonlinear dynamics in a complex cubic one-dimensional model for sensory psychophysics ⋮ Analytic study of assemblies of neurons in memory storage ⋮ Neural model with probabilistic firing behavior. I. General considerations ⋮ The eigenvalues of a deterministic neural net ⋮ Multiple scales of statistical physics of the neocortex: Application to electroencephalography ⋮ Asymmetric Boltzmann machines ⋮ Physiological constraints on the formal representation of neurons ⋮ Absence of bounds of products of normalized eigenvector components of non-symmetric probability matrices ⋮ Analytic study of the memory storage capacity of a neural network ⋮ Powers of nonsymmetric stochastic matrices: Comment on a paper by Little, Ng, and Shaw ⋮ Influence of noise on the function of a physiological neural network ⋮ An analysis of noisy RAM and neural nets

Cites Work

• The existence of persistent states in the brain
• On the Theory of the Ising Model of Ferromagnetism
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