Synchronization of neural activity is a promising mechanism of memory information processing in networks of columns.

abstract：:The activation patterns underlying the electrical activity of the heart during atrial fibrillation (AF) are not entirely random. The aim of this study was to assess the local organization of the activation processes during AF by estimating the non-linear coupling between activation sequences (ASs) in two atrial sites....

journal_title：Biological cybernetics

authors： Censi F,Barbaro V,Bartolini P,Calcagnini G,Michelucci A,Cerutti S

更新日期：2001-09-01 00:00:00

abstract：:The response of a healthy lateral eye of Limulus to constant, uniform and sufficiently intense light stimulation, consists of a sustained oscillatory discharge, all ommatidia firing synchronously in bursts, at intervals of about 0.2s (Barlow and Fraioli, 1978). This response has been analysed by a computer simulation,...

journal_title：Biological cybernetics

authors： Barbi M,Ferdeghini EM

更新日期：1980-01-01 00:00:00

abstract：:We propose an approach for desynchronization in an ensemble of globally coupled neural oscillators. The impact of washout filter aided mean field feedback on population synchronization process is investigated. By blocking the Hopf bifurcation of the mean field, the controller desynchronizes the ensemble. The technique...

journal_title：Biological cybernetics

authors： Luo M,Wu Y,Peng J

更新日期：2009-09-01 00:00:00

abstract：:The method of non-linear forecasting of time series was applied to different simulated signals and EEG in order to check its ability of distinguishing chaotic from noisy time series. The goodness of prediction was estimated, in terms of the correlation coefficient between forecasted and real time series, for non-linea...

journal_title：Biological cybernetics

authors： Blinowska KJ,Malinowski M

更新日期：1991-01-01 00:00:00

abstract：:For the Ornstein-Uhlenbeck neuronal model a quantitative method is proposed for the estimation of the two parameters characterizing the unknown input process, namely the neuron's mean input per unit time mu and the infinitesimal standard deviation per unit time sigma. This method is based on the experimentally observe...

journal_title：Biological cybernetics

authors： Inoue J,Sato S,Ricciardi LM

更新日期：1995-08-01 00:00:00

abstract：:Akinematical model for excitable wave propagation is analyzed to describe the dynamics of a typical neurological symptom of migraine. The kinematical model equation is solved analytically for a linear dependency between front curvature and velocity. The resulting wave starts from an initial excitation and moves in the...

journal_title：Biological cybernetics

authors： Dahlem MA,Müller SC

更新日期：2003-06-01 00:00:00

abstract：:The human optokinetic response to a horizontally moving stripped pattern surrounding the subject was investigated under quasi-open and closed loop conditions. Open loop conditions were produced by the addition of an external signal from measured slow phase eye velocity to stripe velocity. A comparison of open and clos...

journal_title：Biological cybernetics

authors： Böhmer A,Allum JH

更新日期：1981-01-01 00:00:00

abstract：:The size of a pair of cortical ocular dominance columns determines a basic anatomical module of V-1 which Hubel and Wiesel have termed the hypercolumn. Does this correspond to a basic functional, or psychophysically measurable, module as well? This is the basic question addressed in the present paper. Since the ocular...

journal_title：Biological cybernetics

authors： Yeshurun Y,Schwartz EL

更新日期：1999-02-01 00:00:00

abstract：:Motion control of musculoskeletal systems for functional electrical stimulation (FES) is a challenging problem due to the inherent complexity of the systems. These include being highly nonlinear, strongly coupled, time-varying, time-delayed, and redundant. The redundancy in particular makes it difficult to find an inv...

journal_title：Biological cybernetics

authors： Park H,Durand DM

更新日期：2008-12-01 00:00:00

abstract：:We propose a function-oriented model of the visual cortex. The model addresses an essential task of the visual system: to detect and represent objects. These are defined as sets, which reappear in the input with invariant inner relations. A network, incorporating an idealized description of anatomical and physiologica...

journal_title：Biological cybernetics

authors： Neven H,Aertsen A

更新日期：1992-01-01 00:00:00

abstract：:Neuronal output properties for input stimuli that evoke a deterministic response can be efficiently described by the interspike-interval function (Awiszus 1988a). It is shown in this paper that there are stimuli for which both the Hodgkin-Huxley (HH-) model of an action potential encoding membrane (Hodgkin and Huxley ...

journal_title：Biological cybernetics

authors： Awiszus F

更新日期：1989-01-01 00:00:00

abstract：:Simulations of neural activity are commonly based on differential equations. We address the question what can be achieved with a simplified discrete model. The proposed model resembles artificial neural networks enriched with additional biologically inspired features. A neuron has several states, and the state transit...

journal_title：Biological cybernetics

authors： Bazenkov NI,Boldyshev BA,Dyakonova V,Kuznetsov OP

更新日期：2020-06-01 00:00:00

abstract：:A new association scheme which can still recall appropriate data when some key elements are missing (blank) is presented. The traditional associative memory models are designed to deal with complete (memorized) keys, but in the real world, key elements are often missing due to error, equipment failure, observation dif...

journal_title：Biological cybernetics

authors： Murakami K,Aibara T

更新日期：1982-01-01 00:00:00

abstract：:Inner hair cells (IHCs) transform the mechanical movements of the basilar membrane into electrical impulses. The impulse coding of the IHCs is the main information carrier in the auditory process and is the basis for improvements of cochlea implants as well as for low rate, high-quality speech processing and compressi...

journal_title：Biological cybernetics

authors： Meyer-Bäse U,Meyer-Bäse A,Scheich H

更新日期：2000-04-01 00:00:00

abstract：:The assessment of the variability of neuronal spike timing is fundamental to gain understanding of latency coding. Based on recent mathematical results, we investigate theoretically the impact of channel noise on latency variability. For large numbers of ion channels, we derive the asymptotic distribution of latency, ...

journal_title：Biological cybernetics

authors： Wainrib G,Thieullen M,Pakdaman K

更新日期：2010-07-01 00:00:00

abstract：:This article provides an introductory overview of the state of research on Hierarchical Bayesian Modeling in cognitive development. First, a brief historical summary and a definition of hierarchies in Bayesian modeling are given. Subsequently, some model structures are described based on four examples in the literatur...

journal_title：Biological cybernetics

authors： Glassen T,Nitsch V

更新日期：2016-06-01 00:00:00

abstract：:In this study, human arm movement was reconstructed from electromyography (EMG) signals using a forward dynamics model acquired by an artificial neural network within a modular architecture. Dynamic joint torques at the elbow and shoulder were estimated for movements in the horizontal plane from the surface EMG signal...

journal_title：Biological cybernetics

authors： Koike Y,Kawato M

更新日期：1995-09-01 00:00:00

abstract：:Highly-interconnected networks of nonlinear analog neurons are shown to be extremely effective in computing. The networks can rapidly provide a collectively-computed solution (a digital output) to a problem on the basis of analog input information. The problems to be solved must be formulated in terms of desired optim...

journal_title：Biological cybernetics

authors： Hopfield JJ,Tank DW

更新日期：1985-01-01 00:00:00

abstract：:Some interesting properties on pattern separation have been shown through researches by neural models of cerebellar cortex. It seems to us that those results are a part of the properties of pattern separation. A two layer random nerve net with inhibitory connections is given as a model of the cerebellar cortex. The mo...

journal_title：Biological cybernetics

authors： Torioka T

更新日期：1979-09-01 00:00:00

abstract：:Using a modified version of a phenomenological model for the dynamics of synaptic plasticity, we examine some recent experiments of Wu et al. [(2001) J Physiol 533:745-755]. We show that the model is quantitatively consistent with their experimental protocols producing long-term potentiation (LTP) and long-term depres...

journal_title：Biological cybernetics

authors： Whitehead A,Rabinovich MI,Huerta R,Zhigulin VP,Abarbanel HD

更新日期：2003-03-01 00:00:00

abstract：:The detection of small radially symmetric targets was studied using a subthreshold summation paradigm. Small disc and disc-like patterns with diameters up to 0.60 were used for superposition on Bessel functions of zero order, subthreshold contrast and various spatial frequencies. Contrast interrelation functions prove...

journal_title：Biological cybernetics

authors： Mortensen U,Meinhardt G

更新日期：2001-01-01 00:00:00

abstract：:Under a 90 degrees rotation of motor space relative to visual space, human two-dimensional aiming movements frequently take the form of smooth arcs such as spirals and semi-circles. A time-independent differential equation explains this tendency in terms of a rotation-induced vector field made up, at each point in the...

journal_title：Biological cybernetics

authors： Cunningham HA,Vardi I

更新日期：1990-01-01 00:00:00

abstract：:According to modern views of the cerebellum in motor control, each cerebellar functional unit, or microzone, learns how to execute predictive and coordinative control, based on long-term depression of the granule cell-Purkinje cell synapses. In the present paper, in light of recent experimental and theoretical studies...

journal_title：Biological cybernetics

authors： Schweighofer N

更新日期：1998-08-01 00:00:00

abstract：:A minimum mean square error (MMSE) estimation scheme is employed to identify the synaptic connectivity in neural networks. This new approach can substantially reduce the amount of data and the computational cost involved in the conventional correlation methods, and is suitable for both nonstationary and stationary neu...

journal_title：Biological cybernetics

authors： Yang X,Shamma SA

更新日期：1991-01-01 00:00:00

abstract：:In internally coupled ears (ICE), the displacement of one eardrum creates pressure waves that propagate through air-filled passages in the skull, causing a displacement of the opposing eardrum and vice versa. In this review, a thorough mathematical analysis of the membranes, passages, and propagating pressure waves re...

journal_title：Biological cybernetics

authors： Vedurmudi AP,Young BA,van Hemmen JL

更新日期：2016-10-01 00:00:00

abstract：:Reported here are the results from two experiments designed to investigate Mateeff and Gourevich's (1983, 1984) claim that adult observers make large constant errors when judging the direction of briefly presented peripheral targets, with respect to a continuously visible scale. Experiment 1 involved a virtually exact...

journal_title：Biological cybernetics

authors： Mapp AP,Barbeito R,Bedell HE,Ono H

更新日期：1989-01-01 00:00:00

abstract：:In the present work a linear model for a pair of antagonistic muscles is analysed. Each constituent muscle in this model is identical to ones considered previously (Stein and Oğuztöreli, 1976). Analytical properties of the antagonistic muscles and dynamics of the system are described and some numerical results are dis...

journal_title：Biological cybernetics

authors： Oğuztöreli MN,Stein RB

更新日期：1982-01-01 00:00:00

abstract：:A computational model of a learning system (LS) is described that acquires knowledge and skill necessary for optimal control of a multisegmental limb dynamics (controlled object or CO), starting from "knowing" only the dimensionality of the object's state space. It is based on an optimal control problem setup differen...

journal_title：Biological cybernetics

authors： Shimansky YP,Kang T,He J

更新日期：2004-02-01 00:00:00

abstract：:Two different chaotic time series analysis methods--the correlation dimension and nonlinear forecasting--are introduced and then used to process the interspike intervals (ISI) of the action potential trains propagated along a single nerve fiber of the anesthetized rat. From the results, the conclusion is drawn that co...

journal_title：Biological cybernetics

authors： Gong Y,Xu J,Ren W,Hu S,Wang F

更新日期：1998-02-01 00:00:00

abstract：:Synaptic release was simulated using a Simulink sequential storage model with three vesicular pools. Modeling was modular and easily extendable to the systems with greater number of vesicular pools, parallel input, or time-varying parameters. Given an input (short or long tetanic trains, patterned or random stimulatio...

journal_title：Biological cybernetics

authors： Aristizabal F,Glavinovic MI

更新日期：2004-01-01 00:00:00