2003/03/19 by Petro M. Gopych, P.M. Gopych, Gopych, Petro M.
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Cognitive Science and Education Research #E.4 #FOS: Biological sciences #FOS: Computer and information sciences #I.2 #Information Retrieval (cs.IR) #J.3 #J.4 #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM) #cs.AI #cs.IR #cs.NE #q-bio.NC #q-bio.QM
paper · pdf · doi:10.48550/arxiv.cs/0303017
A report presented at the Vth International Congress on Mathematical Modeling held in Dubna, Russia on September 30 - October 6, 2002 (Book of Abstracts, vol. 2. p. 91), 39 pages, 5 Figures, 1 Table, 70 references
arxiv created 2003/03/19 · openalex publication_date 2003/03/19 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
It has been shown that a neural network model recently proposed to describe basic memory performance is based on a ternary/binary coding/decoding algorithm which leads to a new neural network assembly memory model (NNAMM) providing maximum-likelihood recall/recognition properties and implying a new memory unit architecture with Hopfield two-layer network, N-channel time gate, auxiliary reference memory, and two nested feedback loops. For the data coding used, conditions are found under which a version of Hopfied network implements maximum-likelihood convolutional decoding algorithm and, simultaneously, linear statistical classifier of arbitrary binary vectors with respect to Hamming distance between vector analyzed and reference vector given. In addition to basic memory performance and etc, the model explicitly describes the dependence on time of memory trace retrieval, gives a possibility of one-trial learning, metamemory simulation, generalized knowledge representation, and distinct description of conscious and unconscious mental processes. It has been shown that an assembly memory unit may be viewed as a model of a smallest inseparable part or an 'atom' of consciousness. Some nontraditional neurobiological backgrounds (dynamic spatiotemporal synchrony, properties of time dependent and error detector neurons, early precise spike firing, etc) and the model's application to solve some interdisciplinary problems from different scientific fields are discussed.