Biological Cybernetics

Aims & Scope

Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented investigations of information processing and control in organisms.

A broad goal of the Journal is to foster and intensify the search for general principles of communication and regulation in biological systems, through detailed studies of specific examples.

Topics of interest range from subcellular processes to ecological phenomena, with a special emphasis on sensory, motor, and cognitive neural systems.

Approaches include mathematical modelling of biological systems, possibly combined with experiment; computational, theoretical or engineering studies with relevance for understanding cybernetic principles in biology; and biologically inspired artificial implementations of biological information processing and control.

Purely experimental investigations for which theory is insufficiently developed, or phenomenological descriptions of structures or functions having no reference to specific biological systems, are outside the scope of the journal.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	1.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.518

Quartile

Year	Value
2024	Q2

Journal Rank

Year	Value
2024	11222

Journal Citation Indicator

Year	Value
2024	212

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Self-organized formation of topologically correct feature maps

  Citation: 7059

  Authors: Teuvo

• “Neural” computation of decisions in optimization problems

  Citation: 4666

  Authors: J. J., D. W.

• Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

  Citation: 3964

  Authors: Kunihiko

• The structure of images

  Citation: 1848

  Authors: Jan J.

• Coherent oscillations: A mechanism of feature linking in the visual cortex?

  Citation: 1819

  Authors: R., R., W., M., W., M., H. J.

• A theoretical model of phase transitions in human hand movements

  Citation: 1700

  Authors: H., J. A. S., H.

• Dynamics of pattern formation in lateral-inhibition type neural fields

  Citation: 1606

  Authors: Shun-ichi

• Partial directed coherence: a new concept in neural structure determination

  Citation: 1455

  Authors: Luiz A., Koichi

• Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors

  Citation: 1375

  Authors: S.

• Formation and control of optimal trajectory in human multijoint arm movement

  Citation: 1230

  Authors: Y., M., R.

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