Biological Cybernetics

Papers
(The TQCC of Biological Cybernetics is 8. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
The Haken–Kelso–Bunz (HKB) model: from matter to movement to mind28
Control for multifunctionality: bioinspired control based on feeding in Aplysia californica19
Unveiling social distancing mechanisms via a fish-robot hybrid interaction18
Multifrequency Hebbian plasticity in coupled neural oscillators18
Evolution of the Wilson–Cowan equations17
From internal models toward metacognitive AI13
Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics11
Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia11
Dynamical consequences of sensory feedback in a half-center oscillator coupled to a simple motor system11
Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons10
Analysis of neural clusters due to deep brain stimulation pulses9
Deep brain stimulation for movement disorder treatment: exploring frequency-dependent efficacy in a computational network model9
Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot9
Importance of self-connections for brain connectivity and spectral connectomics9
A dynamic neural field model of continuous input integration9
Resolving molecular contributions of ion channel noise to interspike interval variability through stochastic shielding8
Partial directed coherence: twenty years on some history and an appraisal8
A geometry- and muscle-based control architecture for synthesising biological movement8
Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them8
The creation of phenomena in interactive biorobotics8
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