3,134 results match your criteria Biological Cybernetics[Journal]


Tutorial and simulations with ADAM: an adaptation and anticipation model of sensorimotor synchronization.

Biol Cybern 2019 Apr 8. Epub 2019 Apr 8.

Music, Cognition and Action Group, The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.

Interpersonal coordination of movements often involves precise synchronization of action timing, particularly in expert domains such as ensemble music performance. According to the adaptation and anticipation model (ADAM) of sensorimotor synchronization, precise yet flexible interpersonal coordination is supported by reactive error correction mechanisms and anticipatory mechanisms that exploit systematic patterns in stimulus timing to plan future actions. Here, we provide a tutorial introduction to the computational architecture of ADAM and present a series of single- and dual-virtual agent simulations that examine the model parameters that produce ideal synchronization performance in different tempo conditions. Read More

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http://dx.doi.org/10.1007/s00422-019-00798-6DOI Listing

An unsupervised neuromorphic clustering algorithm.

Biol Cybern 2019 Apr 3. Epub 2019 Apr 3.

School of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1 9QJ, UK.

Brains perform complex tasks using a fraction of the power that would be required to do the same on a conventional computer. New neuromorphic hardware systems are now becoming widely available that are intended to emulate the more power efficient, highly parallel operation of brains. However, to use these systems in applications, we need "neuromorphic algorithms" that can run on them. Read More

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http://dx.doi.org/10.1007/s00422-019-00797-7DOI Listing

Explaining event-related fields by a mechanistic model encapsulating the anatomical structure of auditory cortex.

Biol Cybern 2019 Feb 28. Epub 2019 Feb 28.

Special Lab Non-invasive Brain Imaging, Leibniz Institute for Neurobiology, Brenneckestraße 6, 39118, Magdeburg, Germany.

Event-related fields of the magnetoencephalogram are triggered by sensory stimuli and appear as a series of waves extending hundreds of milliseconds after stimulus onset. They reflect the processing of the stimulus in cortex and have a highly subject-specific morphology. However, we still have an incomplete picture of how event-related fields are generated, what the various waves signify, and why they are so subject-specific. Read More

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http://dx.doi.org/10.1007/s00422-019-00795-9DOI Listing
February 2019
1 Read

Evaluation of connectivity estimates using spiking neuronal network models.

Biol Cybern 2019 Feb 19. Epub 2019 Feb 19.

Center for Mathematics, Computing and Cognition, Universidade Federal do ABC, São Bernardo do Campo, SP, Brazil.

The flow of information between different regions of the cortex is fundamental for brain function. Researchers use causality detection techniques, such as Granger causality, to infer connectivity among brain areas from time series. Generalized partial directed coherence (GPDC) is a frequency domain linear method based on vector autoregressive model, which has been applied in electroencephalography, local field potential, and blood oxygenation level-dependent signals. Read More

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http://dx.doi.org/10.1007/s00422-019-00796-8DOI Listing
February 2019
1 Read

A process account of the uncontrolled manifold structure of joint space variance in pointing movements.

Biol Cybern 2019 Feb 15. Epub 2019 Feb 15.

Institute for Neural Computation, Ruhr-University, Bochum, Germany.

In many situations, the human movement system has more degrees of freedom than needed to achieve a given movement task. Martin et al. (Neural Comput 21(5):1371-1414, 2009) accounted for signatures of such redundancy like self-motion and motor equivalence in a process model in which a neural oscillator generated timed end-effector virtual trajectories that a neural dynamics transformed into joint virtual trajectories while decoupling task-relevant and task-irrelevant combinations of joint angles. Read More

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http://dx.doi.org/10.1007/s00422-019-00794-wDOI Listing
February 2019
1 Read

Emergence of cognitive priming and structure building from the hierarchical interaction of canonical microcircuit models.

Biol Cybern 2019 Feb 14. Epub 2019 Feb 14.

Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

The concept of connectionism states that higher cognitive functions emerge from the interaction of many simple elements. Accordingly, research on canonical microcircuits conceptualizes findings on fundamental neuroanatomical circuits as well as recurrent organizational principles of the cerebral cortex and examines the link between architectures and their associated functionality. In this study, we establish minimal canonical microcircuit models as elements of hierarchical processing networks. Read More

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http://dx.doi.org/10.1007/s00422-019-00792-yDOI Listing
February 2019

Extracellular GABA assisting in organizing dynamic cell assemblies to shorten reaction time to sensory stimulation.

Biol Cybern 2019 Feb 12. Epub 2019 Feb 12.

Department of Intelligent Systems Engineering, Ibaraki University, 4-12-1 Nakanarusawa, Hitachi, Ibaraki, 316-8511, Japan.

Until recently, glia, which exceeds the number of neurons, was considered to only have supportive roles in the central nervous system, providing homeostatic controls and metabolic supports. However, recent studies suggest that glia interacts with neurons and plays active roles in information processing within neuronal circuits. To elucidate how glia contributes to neuronal information processing, we simulated a sensory neuron-glia (neuron-astrocyte) network model. Read More

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http://dx.doi.org/10.1007/s00422-019-00793-xDOI Listing
February 2019
1 Read

Control theory in biology and medicine : Introduction to the special issue.

Biol Cybern 2019 04;113(1-2):1-6

Department of Mechanical and Aerospace Engineering, Ohio State University, Columbus, Ohio, USA.

From September-December 2017, the Mathematical Biosciences Institute at Ohio State University hosted a series of workshops on control theory in biology and medicine, including workshops on control and modulation of neuronal and motor systems, control of cellular and molecular systems, control of disease / personalized medicine across heterogeneous populations, and sensorimotor control of animals and robots. This special issue presents tutorials and research articles by several of the participants in the MBI workshops. Read More

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http://dx.doi.org/10.1007/s00422-018-00791-5DOI Listing

Editorial Board of Biological Cybernetics: Advances in Computational Neuroscience.

Authors:
Dether Stefanie

Biol Cybern 2019 04;113(1-2):7-9

, Berlin, Germany.

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http://dx.doi.org/10.1007/s00422-018-00789-zDOI Listing

Representation of object's shape by multiple electric images in electrolocation.

Biol Cybern 2019 Jan 10. Epub 2019 Jan 10.

Department of Engineering Science, University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, 182-8585, Japan.

Weakly electric fish generate an electric field by discharging an electric organ located on the tail region. An object near the fish modulates the self-generated electric field. The modulated field enables the fish to perceive objects even in complete darkness. Read More

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http://dx.doi.org/10.1007/s00422-018-00790-6DOI Listing
January 2019
2 Reads

A review on animal-robot interaction: from bio-hybrid organisms to mixed societies.

Biol Cybern 2018 Nov 14. Epub 2018 Nov 14.

The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, PI, Italy.

Living organisms are far superior to state-of-the-art robots as they have evolved a wide number of capabilities that far encompass our most advanced technologies. The merging of biological and artificial world, both physically and cognitively, represents a new trend in robotics that provides promising prospects to revolutionize the paradigms of conventional bio-inspired design as well as biological research. In this review, a comprehensive definition of animal-robot interactive technologies is given. Read More

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http://link.springer.com/10.1007/s00422-018-0787-5
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http://dx.doi.org/10.1007/s00422-018-0787-5DOI Listing
November 2018
12 Reads

An optimal control approach for blood pressure regulation during head-up tilt.

Biol Cybern 2019 04 30;113(1-2):149-159. Epub 2018 Oct 30.

NC State University, Raleigh, NC, USA.

This paper presents an optimal control approach to modeling effects of cardiovascular regulation during head-up tilt (HUT). Many patients who suffer from dizziness or light-headedness are administered a head-up tilt test to explore potential deficits within the autonomic control system, which maintains the cardiovascular system at homeostasis. This system is complex and difficult to study in vivo, and thus we propose to use mathematical modeling to achieve a better understanding of cardiovascular regulation during HUT. Read More

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http://dx.doi.org/10.1007/s00422-018-0783-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417936PMC

Parameter subset selection techniques for problems in mathematical biology.

Biol Cybern 2019 04 30;113(1-2):121-138. Epub 2018 Oct 30.

Department of Mathematics, NC State University, Raleigh, NC, 27695, USA.

Patient-specific models for diagnostics and treatment planning require reliable parameter estimation and model predictions. Mathematical models of physiological systems are often formulated as systems of nonlinear ordinary differential equations with many parameters and few options for measuring all state variables. Consequently, it can be difficult to determine which parameters can reliably be estimated from available data. Read More

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http://dx.doi.org/10.1007/s00422-018-0784-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417952PMC

Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.

Biol Cybern 2018 Oct 28. Epub 2018 Oct 28.

Lauflabor Locomotion Laboratory, Institute of Sport Science, TU Darmstadt, Magdalenenstr. 27, 64289, Darmstadt, Germany.

Template models of legged locomotion are powerful tools for gait analysis, but can also inspire robot design and control. In this paper, a spring-loaded inverted pendulum (SLIP) model is employed to control vertical hopping of a 2-segmented legged robot. Feed-forward and bio-inspired virtual model control using the SLIP model are compared. Read More

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http://dx.doi.org/10.1007/s00422-018-0788-4DOI Listing
October 2018

Deep active inference.

Authors:
Kai Ueltzhöffer

Biol Cybern 2018 12 22;112(6):547-573. Epub 2018 Oct 22.

, Heidelberg, Germany.

This work combines the free energy principle and the ensuing active inference dynamics with recent advances in variational inference in deep generative models, and evolution strategies to introduce the "deep active inference" agent. This agent minimises a variational free energy bound on the average surprise of its sensations, which is motivated by a homeostatic argument. It does so by optimising the parameters of a generative latent variable model of its sensory inputs, together with a variational density approximating the posterior distribution over the latent variables, given its observations, and by acting on its environment to actively sample input that is likely under this generative model. Read More

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http://dx.doi.org/10.1007/s00422-018-0785-7DOI Listing
December 2018

Auditory gap detection: psychometric functions and insights into the underlying neural activity.

Biol Cybern 2018 12 20;112(6):575-584. Epub 2018 Oct 20.

Edward S. Rogers Sr. Department of Electrical and Computer Engineering, and Institute of Biomaterials and Biomedical Engineering, University of Toronto, 10 King's College Rd., Toronto, ON, M5S 3G4, Canada.

The detection of a silent interval or gap provides important insight into temporal processing by the auditory system. Previous research has uncovered a multitude of empirical findings leaving the mechanism of gap detection poorly understood and key issues unresolved. Here, we expand the findings by measuring psychometric functions for a number of conditions including both across-frequency and across-intensity gap detection as a first study of its kind. Read More

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http://link.springer.com/10.1007/s00422-018-0786-6
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http://dx.doi.org/10.1007/s00422-018-0786-6DOI Listing
December 2018
25 Reads

Non-monotonic accumulation of spike time variance during membrane potential oscillations.

Biol Cybern 2018 12 5;112(6):539-545. Epub 2018 Oct 5.

School of Psychology, University of Ottawa, Ottawa, ON, K1N 6N5, Canada.

A spike-phase neural code has been proposed as a mechanism to encode stimuli based on the precise timing of spikes relative to the phase of membrane potential oscillations. This form of coding has been reported in both in vivo and in vitro experiments across several regions of the brain, yet there are concerns that such precise timing may be compromised by an effect referred to as variance accumulation, wherein spike timing variance increases over the phase of an oscillation. Here, we provide a straightforward explanation of this effect based on the theoretical spike time variance. Read More

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http://dx.doi.org/10.1007/s00422-018-0782-xDOI Listing
December 2018

Cardiovascular regulation in response to multiple hemorrhages: analysis and parameter estimation.

Biol Cybern 2019 04 12;113(1-2):105-120. Epub 2018 Sep 12.

North Carolina State University, Raleigh, USA.

Mathematical models can provide useful insights explaining behavior observed in experimental data; however, rigorous analysis is needed to select a subset of model parameters that can be informed by available data. Here we present a method to estimate an identifiable set of parameters based on baseline left ventricular pressure and volume time series data. From this identifiable subset, we then select, based on current understanding of cardiovascular control, parameters that vary in time in response to blood withdrawal, and estimate these parameters over a series of blood withdrawals. Read More

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http://dx.doi.org/10.1007/s00422-018-0781-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414294PMC

Phase reduction and phase-based optimal control for biological systems: a tutorial.

Biol Cybern 2019 04 10;113(1-2):11-46. Epub 2018 Sep 10.

Department of Mechanical Engineering, University of California, Santa Barbara, CA, 93106, USA.

A powerful technique for the analysis of nonlinear oscillators is the rigorous reduction to phase models, with a single variable describing the phase of the oscillation with respect to some reference state. An analog to phase reduction has recently been proposed for systems with a stable fixed point, and phase reduction for periodic orbits has recently been extended to take into account transverse directions and higher-order terms. This tutorial gives a unified treatment of such phase reduction techniques and illustrates their use through mathematical and biological examples. Read More

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http://dx.doi.org/10.1007/s00422-018-0780-zDOI Listing
April 2019
1 Read

A normative approach to neuromotor control.

Biol Cybern 2019 04 3;113(1-2):83-92. Epub 2018 Sep 3.

University of Illinois at Chicago, Chicago, USA.

While we can readily observe and model the dynamics of our limbs, analyzing the neurons that drive movement is not nearly as straightforward. As a result, their role in motor behavior (e.g. Read More

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http://dx.doi.org/10.1007/s00422-018-0777-7DOI Listing

Cellular switches orchestrate rhythmic circuits.

Biol Cybern 2019 04 3;113(1-2):71-82. Epub 2018 Sep 3.

Department of Engineering, University of Cambridge, Cambridge, UK.

Small inhibitory neuronal circuits have long been identified as key neuronal motifs to generate and modulate the coexisting rhythms of various motor functions. Our paper highlights the role of a cellular switching mechanism to orchestrate such circuits. The cellular switch makes the circuits reconfigurable, robust, adaptable, and externally controllable. Read More

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http://dx.doi.org/10.1007/s00422-018-0778-6DOI Listing
April 2019
1 Read

Improved lower bound for the mutual information between signal and neural spike count.

Biol Cybern 2018 12 28;112(6):523-538. Epub 2018 Aug 28.

Bernstein Center for Computational Neuroscience Berlin, Philippstr. 13, Haus 2, 10115, Berlin, Germany.

The mutual information between a stimulus signal and the spike count of a stochastic neuron is in many cases difficult to determine. Therefore, it is often approximated by a lower bound formula that involves linear correlations between input and output only. Here, we improve the linear lower bound for the mutual information by incorporating nonlinear correlations. Read More

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http://dx.doi.org/10.1007/s00422-018-0779-5DOI Listing
December 2018
9 Reads

The self-organization of ball bouncing.

Biol Cybern 2018 12 23;112(6):509-522. Epub 2018 Aug 23.

Laboratoire des Signaux et Systèmes (L2S), CentraleSupélec- CNRS- Univ. Paris-Sud, Université Paris-Saclay, 91192, Gif-sur-Yvette, France.

The hybrid rhythmic ball-bouncing task considered in this study requires a participant to hit a ball in a virtual environment by moving a paddle in the real environment. It allows for investigation of the online visual control of action in humans. Changes in gravity acceleration in the virtual environment affect the ball dynamics and modify the ball-paddle system limit cycle. Read More

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http://dx.doi.org/10.1007/s00422-018-0776-8DOI Listing
December 2018

Application of chaos in a recurrent neural network to control in ill-posed problems: a novel autonomous robot arm.

Biol Cybern 2018 10 20;112(5):495-508. Epub 2018 Aug 20.

Department of Electrical and Electronic Engineering, Graduate School of Natural Science and Technology, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama, 700-8530, Japan.

Inspired by a viewpoint that complex/chaotic dynamics would play an important role in biological systems including the brain, chaotic dynamics introduced in a recurrent neural network was applied to robot control in ill-posed situations. By computer experiments we show that a model robot arm without an advanced visual processing function can catch a target object and bring it to a set position under ill-posed situations (e.g. Read More

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http://dx.doi.org/10.1007/s00422-018-0775-9DOI Listing
October 2018
1 Read

Optimizing stimulus waveforms for electroceuticals.

Biol Cybern 2019 04 11;113(1-2):191-199. Epub 2018 Aug 11.

Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, 78701, USA.

There has been a growing interest in the use of electrical stimulation as a therapy across diverse medical conditions. Most electroceutical devices use simple waveforms, for example sinusoidal or rectangular biphasic pulses. Clinicians empirically tune the waveform parameters (e. Read More

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http://dx.doi.org/10.1007/s00422-018-0774-xDOI Listing

Locomotion: exploiting noise for state estimation.

Biol Cybern 2019 04 28;113(1-2):93-104. Epub 2018 Jul 28.

Center for Applied Mathematics, Cornell University, Ithaca, NY, 14853, USA.

Running, walking, flying and swimming are all processes in which animals produce propulsion by executing rhythmic motions of their bodies. Dynamical stability of the locomotion is hardly automatic: millions of older people are injured by falling each year. Stability frequently requires sensory feedback. Read More

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http://dx.doi.org/10.1007/s00422-018-0772-zDOI Listing

Controlling excitable wave behaviors through the tuning of three parameters.

Biol Cybern 2019 04 28;113(1-2):61-70. Epub 2018 Jul 28.

Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, USA.

Excitable systems are a class of dynamical systems that can generate self-sustaining waves of activity. These waves are known to manifest differently under diverse conditions, whereas some travel as planar or radial waves, and others evolve into rotating spirals. Excitable systems can also form stationary stable patterns through standing waves. Read More

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http://dx.doi.org/10.1007/s00422-018-0771-0DOI Listing

A planar neuro-musculoskeletal arm model in post-stroke patients.

Biol Cybern 2018 10 28;112(5):483-494. Epub 2018 Jul 28.

Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.

Mathematical modeling of the neuro-musculoskeletal system in healthy subjects has been pursued extensively. In post-stroke patients, however, such models are very primitive. Besides improving our general understanding of how stroke affects the limb motions, they can be used to evaluate rehabilitation strategies by computer simulations before clinical evaluations. Read More

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http://dx.doi.org/10.1007/s00422-018-0773-yDOI Listing
October 2018
1 Read

Physiology-based ERPs in normal and abnormal states.

Biol Cybern 2018 10 17;112(5):465-482. Epub 2018 Jul 17.

School of Physics, The University of Sydney, Sydney, NSW, 2006, Australia.

Evoked response potentials (ERPs) and other transients are modeled as impulse responses using physiology-based neural field theory (NFT) of the corticothalamic system of neural activity in the human brain that incorporates synaptic and dendritic dynamics, firing response, axonal propagation, and corticocortical and corticothalamic pathways. The properties of model-predicted ERPs are explored throughout the stability zone of the corticothalamic system, and predicted time series and wavelet spectra are also analyzed. This provides a unified treatment of predicted ERPs for both normal and abnormal states within the brain's stability zone, including likely parameters to represent abnormal states of reduced arousal. Read More

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http://link.springer.com/10.1007/s00422-018-0766-x
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http://dx.doi.org/10.1007/s00422-018-0766-xDOI Listing
October 2018
5 Reads

Weak-noise-induced transitions with inhibition and modulation of neural oscillations.

Biol Cybern 2018 10 11;112(5):445-463. Epub 2018 Jul 11.

Max-Planck-Institut für Mathematik in den Naturwissenschaften, Inselstr. 22, 04103, Leipzig, Germany.

We analyze the effect of weak-noise-induced transitions on the dynamics of the FitzHugh-Nagumo neuron model in a bistable state consisting of a stable fixed point and a stable unforced limit cycle. Bifurcation and slow-fast analysis give conditions on the parameter space for the establishment of this bi-stability. In the parametric zone of bi-stability, weak-noise amplitudes may strongly inhibit the neuron's spiking activity. Read More

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http://dx.doi.org/10.1007/s00422-018-0770-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153713PMC
October 2018
17 Reads

Optimal phase control of biological oscillators using augmented phase reduction.

Biol Cybern 2019 04 29;113(1-2):161-178. Epub 2018 Jun 29.

Department of Mechanical Engineering, University of California, Santa Barbara, CA, 93106, USA.

We develop a novel optimal control algorithm to change the phase of an oscillator using a minimum energy input, which also minimizes the oscillator's transversal distance to the uncontrolled periodic orbit. Our algorithm uses a two-dimensional reduction technique based on both isochrons and isostables. We develop a novel method to eliminate cardiac alternans by connecting our control algorithm with the underlying physiological problem. Read More

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http://dx.doi.org/10.1007/s00422-018-0764-zDOI Listing
April 2019
16 Reads

Combined mechanisms of neural firing rate homeostasis.

Biol Cybern 2019 04 28;113(1-2):47-59. Epub 2018 Jun 28.

Department of Biology and Volen National Center for Complex Systems, MS013, Brandeis University, Waltham, MA, 02454, USA.

Spikes in the membrane potential of neurons comprise the currency of information processing in the brain. The ability of neurons to convert any information present across their multiple inputs into a significant modification to the pattern of their emitted spikes depends on the rate at which they emit spikes. If the mean rate is near the neuron's maximum, or if the rate is near zero, then changes in the inputs have minimal impact on the neuron's firing rate. Read More

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http://dx.doi.org/10.1007/s00422-018-0768-8DOI Listing

Optimizing SGLT inhibitor treatment for diabetes with chronic kidney diseases.

Authors:
Anita T Layton

Biol Cybern 2019 04 28;113(1-2):139-148. Epub 2018 Jun 28.

Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada.

Diabetes induces glomerular hyperfiltration, affects kidney function, and may lead to chronic kidney diseases. A novel therapeutic treatment for diabetic patients targets the sodium-glucose cotransporter isoform 2 (SGLT2) in the kidney. SGLT2 inhibitors enhance urinary glucose, [Formula: see text] and fluid excretion and lower hyperglycemia in diabetes by inhibiting [Formula: see text] and glucose reabsorption along the proximal convoluted tubule. Read More

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http://dx.doi.org/10.1007/s00422-018-0765-yDOI Listing
April 2019
11 Reads

A single retinal circuit model for multiple computations.

Biol Cybern 2018 10 27;112(5):427-444. Epub 2018 Jun 27.

Graduate School of Engineering, Osaka University, Suita, Osaka, 565-0871, Japan.

Vision is dependent on extracting intricate features of the visual information from the outside world, and complex visual computations begin to take place as soon as at the retinal level. In multiple studies on salamander retinas, the responses of a subtype of retinal ganglion cells, i.e. Read More

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http://dx.doi.org/10.1007/s00422-018-0767-9DOI Listing
October 2018

Spiking networks as efficient distributed controllers.

Biol Cybern 2019 04 27;113(1-2):179-190. Epub 2018 Jun 27.

The Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, 63130, USA.

In the brain, networks of neurons produce activity that is decoded into perceptions and actions. How the dynamics of neural networks support this decoding is a major scientific question. That is, while we understand the basic mechanisms by which neurons produce activity in the form of spikes, whether these dynamics reflect an overlying functional objective is not understood. Read More

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http://dx.doi.org/10.1007/s00422-018-0769-7DOI Listing
April 2019
8 Reads

The effects of feedback on stability and maneuverability of a phase-reduced model for cockroach locomotion.

Biol Cybern 2018 08 15;112(4):387-401. Epub 2018 Jun 15.

Department of Mechanical and Aerospace Engineering, Program in Applied and Computational Mathematics and Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA.

In previous work, we built a neuromechanical model for insect locomotion in the horizontal plane, containing a central pattern generator, motoneurons, muscles actuating jointed legs, and rudimentary proprioceptive feedback. This was subsequently simplified to a set of 24 phase oscillators describing motoneuronal activation of agonist-antagonist muscle pairs, which facilitates analyses and enables simulations over multi-dimensional parameter spaces. Here we use the phase-reduced model to study dynamics and stability over the typical speed range of the cockroach Blaberus discoidalis, the effects of feedback on response to perturbations, strategies for turning, and a trade-off between stability and maneuverability. Read More

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http://dx.doi.org/10.1007/s00422-018-0762-1DOI Listing

The effect of structure on image classification using signatures.

Biol Cybern 2018 10 21;112(5):415-425. Epub 2018 Jun 21.

Hewlett Packard Labs, Palo Alto, USA.

Humans recognize transformed images from a very small number of samples. Inspired by this idea, we evaluate a classification method that requires only one sample per class, while providing invariance to image transformations generated by a compact group. This method is based on signatures computed for images. Read More

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http://dx.doi.org/10.1007/s00422-018-0761-2DOI Listing
October 2018

Nonlinearization: naturalistic stimulation and nonlinear dynamic behavior in a spider mechanoreceptor.

Biol Cybern 2018 10 18;112(5):403-413. Epub 2018 Jun 18.

Department of Behavioral Physiology and Sociobiology, University of Würzburg, Biocenter Am Hubland, 97074, Würzburg, Germany.

In a previous study, we used linear frequency response analysis to show that naturalistic stimulation of spider primary mechanosensory neurons produced different response dynamics than the commonly used Gaussian random noise. We isolated this difference to the production of action potentials from receptor potential and suggested that the different distribution of frequency components in the naturalistic signal increased the nonlinearity of action potential encoding. Here, we tested the relative contributions of first- and second-order processes to the action potential signal by measuring linear and quadratic coherence functions. Read More

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http://dx.doi.org/10.1007/s00422-018-0763-0DOI Listing
October 2018
1 Read

Welcome from the new Editor(s)-in-Chief.

Biol Cybern 2018 06;112(3):163

Department of Psychology, Biomedical Engineering and Applied Mathematics, University of Arizona, 1503 E. University Blvd., Tucson, AZ, 85721, USA.

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http://dx.doi.org/10.1007/s00422-018-0760-3DOI Listing
June 2018
1 Read

A new model of the spinal locomotor networks of a salamander and its properties.

Biol Cybern 2018 08 22;112(4):369-385. Epub 2018 May 22.

School of Electric Engineering, Huaihai Institute of Technology, Lianyungang, 222005, China.

A salamander is an ideal animal for studying the spinal locomotor network mechanism of vertebrates from an evolutionary perspective since it represents the transition from an aquatic to a terrestrial animal. However, little is known about the spinal locomotor network of a salamander. A spinal locomotor network model is a useful tool for exploring the working mechanism of the spinal networks of salamanders. Read More

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http://link.springer.com/10.1007/s00422-018-0759-9
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http://dx.doi.org/10.1007/s00422-018-0759-9DOI Listing
August 2018
14 Reads

Trans-algorithmic nature of learning in biological systems.

Authors:
Yury P Shimansky

Biol Cybern 2018 08 2;112(4):357-368. Epub 2018 May 2.

Arizona State University, Phoenix, AZ, 85004, USA.

Learning ability is a vitally important, distinctive property of biological systems, which provides dynamic stability in non-stationary environments. Although several different types of learning have been successfully modeled using a universal computer, in general, learning cannot be described by an algorithm. In other words, algorithmic approach to describing the functioning of biological systems is not sufficient for adequate grasping of what is life. Read More

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http://dx.doi.org/10.1007/s00422-018-0757-yDOI Listing

Modeling and analysis of a new locomotion control neural networks.

Authors:
Q Liu J Z Wang

Biol Cybern 2018 08 26;112(4):345-356. Epub 2018 Apr 26.

School of Electric Engineering, Huaihai Institute of Technology, Lian Yungang, 222005, China.

Experimental data have shown that inherent bursting of the neuron plays an important role in the generation of rhythmic movements in spinal networks. Based on the mechanism that the spinal neurons of a lamprey generate this inherent bursting, this paper builds a simplified inherent bursting neuron model. A new locomotion control neural network is built that takes advantage of this neuron model and its performance is analyzed mathematically and by numerical simulation. Read More

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http://dx.doi.org/10.1007/s00422-018-0758-xDOI Listing
August 2018
1 Read

Reflections on biological cybernetics: past, present, prospects.

Authors:
J Leo van Hemmen

Biol Cybern 2018 04;112(1-2):1-5

Physik Department T35 & BCCN - Munich, Technische Universität München, 85747, Garching bei München, Germany.

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http://dx.doi.org/10.1007/s00422-018-0756-zDOI Listing

Methods for identification of spike patterns in massively parallel spike trains.

Biol Cybern 2018 04 12;112(1-2):57-80. Epub 2018 Apr 12.

Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany.

Temporally, precise correlations between simultaneously recorded neurons have been interpreted as signatures of cell assemblies, i.e., groups of neurons that form processing units. Read More

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http://dx.doi.org/10.1007/s00422-018-0755-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908877PMC
April 2018
1 Read

Foreword for the special issue on Neural Coding.

Biol Cybern 2018 04;112(1-2):11

Universität zu Köln, Köln, Germany.

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http://dx.doi.org/10.1007/s00422-018-0754-1DOI Listing
April 2018
2 Reads

Planning and navigation as active inference.

Biol Cybern 2018 08 23;112(4):323-343. Epub 2018 Mar 23.

Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London (UCL), 12 Queen Square, London, WC1N 3BG, UK.

This paper introduces an active inference formulation of planning and navigation. It illustrates how the exploitation-exploration dilemma is dissolved by acting to minimise uncertainty (i.e. Read More

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http://dx.doi.org/10.1007/s00422-018-0753-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060791PMC
August 2018
3 Reads

The role of long-range coupling in crayfish swimmeret phase-locking.

Biol Cybern 2018 08 22;112(4):305-321. Epub 2018 Mar 22.

Department of Mathematics, University of California, One Shields Ave, Davis, CA, 95616, USA.

During forward swimming, crayfish and other long-tailed crustaceans rhythmically move four pairs of limbs called swimmerets to propel themselves through the water. This behavior is characterized by a particular stroke pattern in which the most posterior limb pair leads the rhythmic cycle and adjacent swimmerets paddle sequentially with a delay of roughly 25% of the period. The neural circuit underlying limb coordination consists of a chain of local modules, each of which controls a pair of limbs. Read More

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http://dx.doi.org/10.1007/s00422-018-0752-3DOI Listing

Place recognition from distant landmarks: human performance and maximum likelihood model.

Biol Cybern 2018 08 26;112(4):291-303. Epub 2018 Feb 26.

, Wettstetten, Germany.

We present a simple behavioral experiment on human place recognition from a configuration of four visual landmarks. Participants were asked to navigate several paths, all involving a turn at one specific point, and while doing so incidentally learned the position of that turning point. In the test phase, they were asked to return to the turning point in a reduced environment leaving only the four landmarks visible. Read More

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http://dx.doi.org/10.1007/s00422-018-0751-4DOI Listing
August 2018
3 Reads

Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering.

Biol Cybern 2018 06 16;112(3):181-207. Epub 2018 Feb 16.

Institute for Transport Studies, University of Leeds, Leeds, UK.

A conceptual and computational framework is proposed for modelling of human sensorimotor control and is exemplified for the sensorimotor task of steering a car. The framework emphasises control intermittency and extends on existing models by suggesting that the nervous system implements intermittent control using a combination of (1) motor primitives, (2) prediction of sensory outcomes of motor actions, and (3) evidence accumulation of prediction errors. It is shown that approximate but useful sensory predictions in the intermittent control context can be constructed without detailed forward models, as a superposition of simple prediction primitives, resembling neurobiologically observed corollary discharges. Read More

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http://dx.doi.org/10.1007/s00422-017-0743-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002515PMC
June 2018
1 Read

Coupling relations underlying the production of speech articulator movements and their invariance to speech rate.

Biol Cybern 2018 06 9;112(3):253-276. Epub 2018 Feb 9.

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103, Leipzig, Germany.

Since the seminal works of Bernstein (The coordination and regulation of movements. Pergamon Press, Oxford, 1967) several authors have supported the idea that, to produce a goal-oriented movement in general, and a movement of the organs responsible for the production of speech sounds in particular, individuals activate a set of coupling relations that coordinate the behavior of the elements of the motor system involved in the production of the target movement or sound. In order to characterize the configurations of the coupling relations underlying speech production articulator movements, we introduce an original method based on recurrence analysis. Read More

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http://dx.doi.org/10.1007/s00422-018-0749-yDOI Listing