Number of the records: 1
Systems Science and Cybernetics
- 1.
SYSNO ASEP 0310912 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Neural networks Title Neurální sítě Author(s) Vajda, Igor (UTIA-B)
Grim, Jiří (UTIA-B) RID, ORCIDSource Title Systems Science and Cybernetics, Neural Networks. - Oxford : Eolss Publishers-UNESCO, 2008 / Parra-Luna Francisco - ISBN 978-1-84826-654-4 Pages s. 224-248 Number of pages 22 s. Number of copy 210 Number of pages 250 Publication form www - www Language eng - English Country GB - United Kingdom Keywords neural networks ; probabilistic approach Subject RIV BD - Theory of Information R&D Projects GA102/07/1594 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The method of selective coloring of neurons discovered in 1875 enabled the structure of neural tissue to be shown as a complex network of specific cells—neurons. Neurons occur in a wide variety of shapes and sizes, have a large number of inputs (synapses) at their receptive zones (dendrites), and a single output line (axon) branched into multiple synaptic endings. The microelectrode was the starting point of ideas that led to the binary threshold model of a neuron’s electrical activity. In 1949 a physiological rule was proposed for synaptic plasticity as a basic adaptive principle of neural assemblies. However, despite the extensive and detailed knowledge accumulated in the last century, the learning principles of biological neural assemblies still continue to be a strong motivation for the further search for suitable neural network models. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2009
Number of the records: 1