Biological Cybernetics
Overview
Biological Cybernetics is a peer-reviewed journal that focuses on the interdisciplinary study of biological systems and their interaction with computational and information processing principles. It publishes research articles and reviews exploring topics such as neural networks, sensory systems, artificial intelligence, and computational neuroscience, fostering advancements in understanding the complex relationship between biology and cybernetics.
Details
Details
Abbr.
Biol Cybern
Start
1975
End
Continuing
Frequency
Twelve no. a year
p-ISSN
0340-1200
e-ISSN
1432-0770
Country
Germany
Language
German
Specialties
Neurology
Physiology
Physiology
Metrics
Metrics
h-index / Ranks: 2916
104
SJR / Ranks: 10016
424
CiteScore / Ranks: 4922
5.10
JIF / Ranks: 5372
1.9
Recent Articles
1.
Harris D, Arthur T, Wilson M, Le Gallais B, Parsons T, Dill A, et al.
Biol Cybern
. 2025 Feb;
119(2-3):8.
PMID: 39976741
Anxious emotional states disrupt decision-making and control of dexterous motor actions. Computational work has shown that anxiety-induced uncertainty alters the rate at which we learn about the environment, but the...
2.
Axenie C
Biol Cybern
. 2025 Feb;
119(2-3):7.
PMID: 39954086
The stability-robustness-resilience-adaptiveness continuum in neuronal processing follows a hierarchical structure that explains interactions and information processing among the different time scales. Interestingly, using "canonical" neuronal computational circuits, such as Homeostatic...
3.
Carli S, Schirripa A, Mirino P, Capirchio A, Caligiore D
Biol Cybern
. 2025 Feb;
119(1):6.
PMID: 39920377
Research has extensively explored the role of the dopaminergic system in the reward circuit, while the contribution of the noradrenergic system remains less understood. This study aims to fill this...
4.
Pikovsky A
Biol Cybern
. 2025 Jan;
119(1):5.
PMID: 39853504
Piecewise-deterministic Markov processes combine continuous in time dynamics with jump events, the rates of which generally depend on the continuous variables and thus are not constants. This leads to a...
5.
Sergeant-Perthuis G, Ruet N, Ognibene D, Tisserand Y, Williford K, Rudrauf D
Biol Cybern
. 2025 Jan;
119(1):4.
PMID: 39820849
According to the Projective Consciousness Model (PCM), in human spatial awareness, 3-dimensional projective geometry structures information integration and action planning through perspective taking within an internal representation space. The way...
6.
Kiessling L, Lindner B
Biol Cybern
. 2024 Dec;
119(1):2.
PMID: 39738681
Integrate-and-fire models are an important class of phenomenological neuronal models that are frequently used in computational studies of single neural activity, population activity, and recurrent neural networks. If these models...
7.
Depannemaecker D
Biol Cybern
. 2024 Dec;
119(1):3.
PMID: 39738636
The theoretical neurosciences research community produces many models, of different natures, to capture activities or functions of the brain. Some of these models are presented as «realistic » models, often...
8.
Fellous J, Thomas P, Tiesinga P, Lindner B
Biol Cybern
. 2024 Dec;
119(1):1.
PMID: 39729111
No abstract available.
9.
Wilshin S, Kvalheim M, Revzen S
Biol Cybern
. 2024 Oct;
118(5-6):311-330.
PMID: 39472336
The "infinitesimal phase response curve" (PRC) is a common tool used to analyze phase resetting in the natural sciences in general and neuroscience in particular. We make the observation that...
10.
Susan S
Biol Cybern
. 2024 Oct;
118(5-6):331-348.
PMID: 39382577
The development of biologically-inspired computational models has been the focus of study ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a scrutiny of literature...