Hypotheses of neural code and the information model of the neuron detector

Abstract

This paper deals with the problem of neural code solving. On the basis of the formulated hypotheses, the information model of a neuron detector is suggested, the detector being one of the basic elements of an artificial neural network (ANN). The paper subjects the connectionist paradigm of ANN building to criticism and suggests a new presentation paradigm for ANN building and neuro-elements (NE) learning. The adequacy of the suggested model is proved by the fact that it does not contradict the modern propositions of neuropsychology and neurophysiology.

Contributors

Yuri Parzhin: (View ORCID Profile)

Journal

Journal ID (publisher-id): SOR-COMPSCI

Title: ScienceOpen Research

Publisher: ScienceOpen

ISSN (Electronic): 2199-1006

Publication date: 08 December 2014

Volume: 0 (ID: b0523e94-8eec-4a4a-a9a1-e92625c17f94 )

Issue: 0

Pages: 1-8

Affiliations

[1 ]Department of Computer Science and Intellectual Property, Faculty of Computer and Information Technology, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine

Author notes

[* ]Corresponding author's e-mail address: pargin@ 123456mipk.kharkiv.edu

Article

Publisher ID: 2177:XE

DOI: 10.14293/S2199-1006.1.SOR-COMPSCI.AP5TO7.v1

Copyright statement: © 2014 Y. Parzhin.

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

Page count

Figures: 5, Tables: 0, References: 16, Pages: 8

Product

Categories

Subject: Original article