期刊缩写       BIOL CYBERN

期刊全称       BIOLOGICAL CYBERNETICS 《生物控制论》

出版国家       GERMANY

出版周期       Monthly

出版年份       1975

期刊ISSN       0340-1200

2012-2013最新影响因子     2.067

 

Biological Cybernetics

Advances in Computational Neuroscience

 

Editor-in-Chief: J. L. van Hemmen

Co-Editors-in-Chief: G.B. Ermentrout; W.M. Senn

 

ISSN: 0340-1200 (print version)

ISSN: 1432-0770 (electronic version)

Journal no. 422

 

Description

The journal provides an interdisciplinary medium for the experimental theoretical and application-oriented aspects of information processing in organisms including sensory motor cognitive and ecological phenomena. Topics are: experimental studies of biological systems including quantitative modelling computational technical or theoretical studies with relevance for understanding biological information processing artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems emphasis is laid on communication between life sciences and technical/theoretical disciplines. Purely theoretical concepts and data analysis without reference to information processing in organisms are outside the aims and scope of Biological Cybernetics . Largely speculative contribution as well as presentations of preliminary and inconclusive results are also discouraged.

 

Long running journal, founded in 1961

Covers theoretical, experimentally motivated and application-oriented aspects of information processing in organisms

Includes sensory, motor, cognitive, and ecological phenomena

Emphasizes communication between life sciences and technical and theoretical disciplines

Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.