[Physical models of neural networks]. 1987

A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ

The state of art in computer modelling of neural networks with associative memory is reviewed. The available experimental data are considered on learning and memory of small neural systems, on isolated synapses and on molecular level. Computer simulations demonstrate that realistic models of neural ensembles exhibit properties which can be interpreted as image recognition, categorization, learning, prototype forming, etc. A bilayer model of associative neural network is proposed. One layer corresponds to the short-term memory, the other one to the long-term memory. Patterns are stored in terms of the synaptic strength matrix. We have studied the relaxational dynamics of neurons firing and suppression within the short-term memory layer under the influence of the long-term memory layer. The interaction among the layers has found to create a number of novel stable states which are not the learning patterns. These synthetic patterns may consist of elements belonging to different non-intersecting learning patterns. Within the framework of a hypothesis of selective and definite coding of images in brain one can interpret the observed effect as the "ideaś generating" process.

UI MeSH Term Description Entries
D007257 Information Theory An interdisciplinary study dealing with the transmission of messages or signals, or the communication of information. Information theory does not directly deal with meaning or content, but with physical representations that have meaning or content. It overlaps considerably with communication theory and CYBERNETICS. Information Theories,Theories, Information,Theory, Information
D008568 Memory Complex mental function having four distinct phases: (1) memorizing or learning, (2) retention, (3) recall, and (4) recognition. Clinically, it is usually subdivided into immediate, recent, and remote memory.
D008959 Models, Neurological Theoretical representations that simulate the behavior or activity of the neurological system, processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment. Neurologic Models,Model, Neurological,Neurologic Model,Neurological Model,Neurological Models,Model, Neurologic,Models, Neurologic
D009474 Neurons The basic cellular units of nervous tissue. Each neuron consists of a body, an axon, and dendrites. Their purpose is to receive, conduct, and transmit impulses in the NERVOUS SYSTEM. Nerve Cells,Cell, Nerve,Cells, Nerve,Nerve Cell,Neuron
D002450 Cell Communication Any of several ways in which living cells of an organism communicate with one another, whether by direct contact between cells or by means of chemical signals carried by neurotransmitter substances, hormones, and cyclic AMP. Cell Interaction,Cell-to-Cell Interaction,Cell Communications,Cell Interactions,Cell to Cell Interaction,Cell-to-Cell Interactions,Communication, Cell,Communications, Cell,Interaction, Cell,Interaction, Cell-to-Cell,Interactions, Cell,Interactions, Cell-to-Cell
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia

Related Publications

A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
April 1988, Physical review. A, General physics,
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
August 1985, Physical review. A, General physics,
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
April 1998, Biological psychiatry,
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
April 2019, Trends in cognitive sciences,
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
January 2008, Methods in molecular biology (Clifton, N.J.),
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
January 2021, Entropy (Basel, Switzerland),
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
January 2023, MethodsX,
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
January 2023, Advances in experimental medicine and biology,
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
January 2020, Physical review letters,
A V Lukashin, and A A Vedenov, and M D Frank-Kamenetskiĭ
January 2017, Frontiers in computational neuroscience,
Copied contents to your clipboard!