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EEG rhythm separation and time–frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI Biol. Cybern. (IF 1.9) Pub Date : 2024-03-12 Yang Jiao, Qian Zheng, Dan Qiao, Xun Lang, Lei Xie, Yi Pan
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What have we learned about artificial intelligence from studying the brain? Biol. Cybern. (IF 1.9) Pub Date : 2024-02-10 Samuel J. Gershman
Neuroscience and artificial intelligence (AI) share a long, intertwined history. It has been argued that discoveries in neuroscience were (and continue to be) instrumental in driving the development of new AI technology. Scrutinizing these historical claims yields a more nuanced story, where AI researchers were loosely inspired by the brain, but ideas flowed mostly in the other direction.
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Fluctuation–response relations for integrate-and-fire models with an absolute refractory period Biol. Cybern. (IF 1.9) Pub Date : 2024-01-23
Abstract We study the problem of relating the spontaneous fluctuations of a stochastic integrate-and-fire (IF) model to the response of the instantaneous firing rate to time-dependent stimulation if the IF model is endowed with a non-vanishing refractory period and a finite (stereotypical) spike shape. This seemingly harmless addition to the model is shown to complicate the analysis put forward by
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Multistability in neural systems with random cross-connections Biol. Cybern. (IF 1.9) Pub Date : 2023-12-22 Jordan Breffle, Subhadra Mokashe, Siwei Qiu, Paul Miller
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Energy optimisation predicts the capacity of ion buffering in the brain Biol. Cybern. (IF 1.9) Pub Date : 2023-12-16 Reinoud Maex
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Four attributes of intelligence, a thousand questions Biol. Cybern. (IF 1.9) Pub Date : 2023-12-07 Matthieu Bardal, Eric Chalmers
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Face detection based on a human attention guided multi-scale model Biol. Cybern. (IF 1.9) Pub Date : 2023-12-01 Marinella Cadoni, Andrea Lagorio, Enrico Grosso
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What can computer vision learn from visual neuroscience? Introduction to the special issue. Biol. Cybern. (IF 1.9) Pub Date : 2023-10-01 Kexin Chen,Hirak J Kashyap,Jeffrey L Krichmar,Xiumin Li
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Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection Biol. Cybern. (IF 1.9) Pub Date : 2023-09-27 Anton V. Chizhov, Dmitry V. Amakhin, A. Erdem Sagtekin, Mathieu Desroches
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Stakes of neuromorphic foveation: a promising future for embedded event cameras Biol. Cybern. (IF 1.9) Pub Date : 2023-09-21 Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona
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Learning heterogeneous delays in a layer of spiking neurons for fast motion detection Biol. Cybern. (IF 1.9) Pub Date : 2023-09-11 Antoine Grimaldi, Laurent U. Perrinet
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Divisive normalization processors in the early visual system of the Drosophila brain Biol. Cybern. (IF 1.9) Pub Date : 2023-09-13 Aurel A. Lazar, Yiyin Zhou
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A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons Biol. Cybern. (IF 1.9) Pub Date : 2023-08-19 Willy Wong
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The Bcm rule allows a spinal cord model to learn rhythmic movements Biol. Cybern. (IF 1.9) Pub Date : 2023-08-18 Matthias Kohler, Florian Röhrbein, Alois Knoll, Alin Albu-Schäffer, Henrik Jörntell
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Bio-inspired, task-free continual learning through activity regularization Biol. Cybern. (IF 1.9) Pub Date : 2023-08-17 Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe
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Periodic solutions in next generation neural field models Biol. Cybern. (IF 1.9) Pub Date : 2023-08-03 Carlo R. Laing, Oleh E. Omel’chenko
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Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis Biol. Cybern. (IF 1.9) Pub Date : 2023-07-04 Michael Briden, Narges Norouzi
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Extreme image transformations affect humans and machines differently Biol. Cybern. (IF 1.9) Pub Date : 2023-06-13 Girik Malik, Dakarai Crowder, Ennio Mingolla
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Canonical circuit computations for computer vision Biol. Cybern. (IF 1.9) Pub Date : 2023-06-12 Daniel Schmid, Christian Jarvers, Heiko Neumann
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How aggressive interactions with biomimetic agents optimize reproductive performances in mass-reared males of the Mediterranean fruit fly Biol. Cybern. (IF 1.9) Pub Date : 2023-05-31 Donato Romano, Giovanni Benelli, Cesare Stefanini
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Mixed $$\mu $$ -synthesis tracking control and disturbance rejection in a robotic digit of an impaired human hand for anthropomorphic coordination Biol. Cybern. (IF 1.9) Pub Date : 2023-05-24 Maryam Iqbal, Junaid Imtiaz, Asif Mahmood Mughal
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Self-organizing maps on “what-where” codes towards fully unsupervised classification Biol. Cybern. (IF 1.9) Pub Date : 2023-05-15 Luis Sa-Couto, Andreas Wichert
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Structure and dynamics that specialize neurons for high-frequency coincidence detection in the barn owl nucleus laminaris Biol. Cybern. (IF 1.9) Pub Date : 2023-05-02 Ben Drucker, Joshua H. Goldwyn
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Low-dimensional models of single neurons: a review Biol. Cybern. (IF 1.9) Pub Date : 2023-04-15 Ulises Chialva, Vicente González Boscá, Horacio G. Rotstein
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Approaching object acceleration differentially affects the predictions of neuronal collision avoidance models Biol. Cybern. (IF 1.9) Pub Date : 2023-04-08 Fabrizio Gabbiani, Thomas Preuss, Richard B. Dewell
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Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition Biol. Cybern. (IF 1.9) Pub Date : 2023-04-01 Melani Sanchez-Garcia, Tushar Chauhan, Benoit R. Cottereau, Michael Beyeler
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Validating models of sensory conflict and perception for motion sickness prediction Biol. Cybern. (IF 1.9) Pub Date : 2023-03-27 Tugrul Irmak, Daan M. Pool, Ksander N. de Winkel, Riender Happee
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Controlling stick balancing on a linear track: Delayed state feedback or delay-compensating predictor feedback? Biol. Cybern. (IF 1.9) Pub Date : 2023-03-21 Dalma J. Nagy, John G. Milton, Tamas Insperger
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A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time Biol. Cybern. (IF 1.9) Pub Date : 2023-01-23 Tony Lindeberg
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Dynamical systems model of development of the action differentiation in early infancy: a requisite of physical agency Biol. Cybern. (IF 1.9) Pub Date : 2023-01-19 Ryo Fujihira, Gentaro Taga
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Bistability at the onset of neuronal oscillations Biol. Cybern. (IF 1.9) Pub Date : 2023-01-09 Yiqing Lu, Xiu Xin, John Rinzel
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Comparison between an exact and a heuristic neural mass model with second-order synapses Biol. Cybern. (IF 1.9) Pub Date : 2022-12-01 Pau Clusella, Elif Köksal-Ersöz, Jordi Garcia-Ojalvo, Giulio Ruffini
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Variational and phase response analysis for limit cycles with hard boundaries, with applications to neuromechanical control problems Biol. Cybern. (IF 1.9) Pub Date : 2022-11-18 Yangyang Wang, Jeffrey P. Gill, Hillel J. Chiel, Peter J. Thomas
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Exploration of motion inhibition for the suppression of false positives in biologically inspired small target detection algorithms from a moving platform Biol. Cybern. (IF 1.9) Pub Date : 2022-10-28 Aaron Melville-Smith, Anthony Finn, Muhammad Uzair, Russell S. A. Brinkworth
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Contrast independent biologically inspired translational optic flow estimation Biol. Cybern. (IF 1.9) Pub Date : 2022-10-27 Phillip S. M. Skelton, Anthony Finn, Russell S. A. Brinkworth
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A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains Biol. Cybern. (IF 1.9) Pub Date : 2022-10-16 Robin S. Sidhu, Erik C. Johnson, Douglas L. Jones, Rama Ratnam
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Integration of velocity-dependent spatio-temporal structure of place cell activation during navigation in a reservoir model of prefrontal cortex Biol. Cybern. (IF 1.9) Pub Date : 2022-10-12 Pablo Scleidorovich, Alfredo Weitzenfeld, Jean-Marc Fellous, Peter Ford Dominey
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Comparison of event-related modulation index and traditional methods for evaluating phase-amplitude coupling using simulated brain signals Biol. Cybern. (IF 1.9) Pub Date : 2022-09-17 Chung-Chieh Tsai, Hong-Hsiang Liu, Yi-Li Tseng
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Biologically plausible single-layer networks for nonnegative independent component analysis Biol. Cybern. (IF 1.9) Pub Date : 2022-09-07 David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
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Beyond Wilson–Cowan dynamics: oscillations and chaos without inhibition Biol. Cybern. (IF 1.9) Pub Date : 2022-09-05 Vincent Painchaud, Nicolas Doyon, Patrick Desrosiers
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Bursting hierarchy in an adaptive exponential integrate-and-fire network synchronization Biol. Cybern. (IF 1.9) Pub Date : 2022-08-31 Congping Lin, Xiaoyue Wu, Yiwei Zhang
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Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning Biol. Cybern. (IF 1.9) Pub Date : 2022-08-11 Berat Denizdurduran, Henry Markram, Marc-Oliver Gewaltig
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Autoencoders reloaded Biol. Cybern. (IF 1.9) Pub Date : 2022-06-21 Hervé Bourlard, Selen Hande Kabil
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Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation Biol. Cybern. (IF 1.9) Pub Date : 2022-06-20 Aida Hajizadeh, Artur Matysiak, Matthias Wolfrum, Patrick J. C. May, Reinhard König
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Codimension-2 parameter space structure of continuous-time recurrent neural networks Biol. Cybern. (IF 1.9) Pub Date : 2022-06-20 Randall D. Beer
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Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics Biol. Cybern. (IF 1.9) Pub Date : 2022-06-09 Abicumaran Uthamacumaran
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Optimal reaching trajectories based on feedforward control Biol. Cybern. (IF 1.9) Pub Date : 2022-06-04 Yoshiaki Taniai, Tomohide Naniwa, Jun Nishii
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Modelling the effect of ephaptic coupling on spike propagation in peripheral nerve fibres Biol. Cybern. (IF 1.9) Pub Date : 2022-05-10 Helmut Schmidt, Thomas R. Knösche
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Mutual information resonances in delay-coupled limit cycle and quasi-cycle brain rhythms Biol. Cybern. (IF 1.9) Pub Date : 2022-04-29 Arthur S. Powanwe, André Longtin
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Stochastic oscillators in biology: introduction to the special issue. Biol. Cybern. (IF 1.9) Pub Date : 2022-04-01 J MacLaurin,J M Fellous,P J Thomas,B Lindner
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Stochastic synchronization in nonlinear network systems driven by intrinsic and coupling noise Biol. Cybern. (IF 1.9) Pub Date : 2022-04-19 Zahra Aminzare, Vaibhav Srivastava
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Correction to: Unveiling social distancing mechanisms via a fish-robot hybrid interaction Biol. Cybern. (IF 1.9) Pub Date : 2022-04-09 Donato Romano,Cesare Stefanini
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Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance Biol. Cybern. (IF 1.9) Pub Date : 2022-04-02 Ranjita Dash, Harish J. Palanthandalam-Madapusi
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Neural kernels for recursive support vector regression as a model for episodic memory Biol. Cybern. (IF 1.9) Pub Date : 2022-03-29 Christian Leibold
Retrieval of episodic memories requires intrinsic reactivation of neuronal activity patterns. The content of the memories is thereby assumed to be stored in synaptic connections. This paper proposes a theory in which these are the synaptic connections that specifically convey the temporal order information contained in the sequences of a neuronal reservoir to the sensory-motor cortical areas that give
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Quantitative comparison of the mean–return-time phase and the stochastic asymptotic phase for noisy oscillators Biol. Cybern. (IF 1.9) Pub Date : 2022-03-23 Alberto Pérez-Cervera, Benjamin Lindner, Peter J. Thomas
Seminal work by A. Winfree and J. Guckenheimer showed that a deterministic phase variable can be defined either in terms of Poincaré sections or in terms of the asymptotic (long-time) behaviour of trajectories approaching a stable limit cycle. However, this equivalence between the deterministic notions of phase is broken in the presence of noise. Different notions of phase reduction for a stochastic
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Pulse-frequency-dependent resonance in a population of pyramidal neuron models Biol. Cybern. (IF 1.9) Pub Date : 2022-03-18 Ryosuke Mori, Hiroyuki Mino, Dominique M. Durand
Stochastic resonance is known as a phenomenon whereby information transmission of weak signal or subthreshold stimuli can be enhanced by additive random noise with a suitable intensity. Another phenomenon induced by applying deterministic pulsatile electric stimuli with a pulse frequency, commonly used for deep brain stimulation (DBS), was also shown to improve signal-to-noise ratio in neuron models
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The Impact of Sparse Coding on Memory Lifetimes in Simple and Complex Models of Synaptic Plasticity Biol. Cybern. (IF 1.9) Pub Date : 2022-03-14 Terry Elliott
Models of associative memory with discrete state synapses learn new memories by forgetting old ones. In the simplest models, memories are forgotten exponentially quickly. Sparse population coding ameliorates this problem, as do complex models of synaptic plasticity that posit internal synaptic states, giving rise to synaptic metaplasticity. We examine memory lifetimes in both simple and complex models
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Human motor learning is robust to control-dependent noise Biol. Cybern. (IF 1.9) Pub Date : 2022-03-03 Bo Pang, Leilei Cui, Zhong-Ping Jiang
Noises are ubiquitous in sensorimotor interactions and contaminate the information provided to the central nervous system (CNS) for motor learning. An interesting question is how the CNS manages motor learning with imprecise information. Integrating ideas from reinforcement learning and adaptive optimal control, this paper develops a novel computational mechanism to explain the robustness of human
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Mean-return-time phase of a stochastic oscillator provides an approximate renewal description for the associated point process Biol. Cybern. (IF 1.9) Pub Date : 2022-02-15 Konstantin Holzhausen, Lukas Ramlow, Shusen Pu, Peter J. Thomas, Benjamin Lindner
Stochastic oscillations can be characterized by a corresponding point process; this is a common practice in computational neuroscience, where oscillations of the membrane voltage under the influence of noise are often analyzed in terms of the interspike interval statistics, specifically the distribution and correlation of intervals between subsequent threshold-crossing times. More generally, crossing
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