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 2020-04-01 to 2024-04-01.)
ArticleCitations
Beetle-robot hybrid interaction: sex, lateralization and mating experience modulate behavioural responses to robotic cues in the larger grain borer Prostephanus truncatus (Horn)27
The Haken–Kelso–Bunz (HKB) model: from matter to movement to mind21
Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds20
Conjunctive reward–place coding properties of dorsal distal CA1 hippocampus cells18
Control for multifunctionality: bioinspired control based on feeding in Aplysia californica17
Multifrequency Hebbian plasticity in coupled neural oscillators14
Unveiling social distancing mechanisms via a fish-robot hybrid interaction13
Evolution of the Wilson–Cowan equations12
From internal models toward metacognitive AI11
Analysis of neural clusters due to deep brain stimulation pulses9
Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia8
Deep brain stimulation for movement disorder treatment: exploring frequency-dependent efficacy in a computational network model8
Importance of self-connections for brain connectivity and spectral connectomics8
Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot8
Partial directed coherence: twenty years on some history and an appraisal8
Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them8
Dynamical consequences of sensory feedback in a half-center oscillator coupled to a simple motor system8
A dynamic neural field model of continuous input integration8
Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics8
Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons8
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