Biological Cybernetics

Papers
(The median citation count of Biological Cybernetics is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
A dynamic neural field model of continuous input integration38
Toward understanding the neural code of the brain23
Pattern formation revisited within nonequilibrium thermodynamics: Burgers’-type equation18
Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons14
Flexible prediction of opponent motion with internal representation in interception behavior14
Partial directed coherence: twenty years on some history and an appraisal13
Steps towards a computational ethology: an automatized, interactive setup to investigate filial imprinting and biological predispositions13
The creation of phenomena in interactive biorobotics12
Balanced truncation for model reduction of biological oscillators12
Auxiliary controller design and performance comparative analysis in closed-loop brain–machine interface system9
The Haken–Kelso–Bunz (HKB) model: from matter to movement to mind9
Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot9
On motion camouflage as proportional navigation9
Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach9
Two dimensionless parameters and a mechanical analogue for the HKB model of motor coordination8
Correction to: Excitable networks for finite state computation with continuous time recurrent neural networks7
Mathematization of nature: how it is done7
Deep brain stimulation for movement disorder treatment: exploring frequency-dependent efficacy in a computational network model6
Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex6
Excitable networks for finite state computation with continuous time recurrent neural networks6
A discrete magno–parvo additive model in early vision for explaining brightness perception in varying contrastive contexts6
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