Simulating Small Neural Circuits with a Discrete Computational Model.

abstract：:The present paper considers the relation between the shape of a triangle and probability of its recognition. An effect of triangle size on perception of its shape is examined in the first experiment. In the second the loci of eye fixations during triangle recognition task are recorded and analysed. A simulation model ...

journal_title：Biological cybernetics

authors： Pizlo Z

更新日期：1988-01-01 00:00:00

abstract：:Motion repulsion is the perceived enlargement of the angle between the directions of motion of two transparently moving patterns. An explanation of this illusion has long been sought for in the neural circuitry of the brain. We show that motion repulsion already arises from the statistical properties of the motion tra...

journal_title：Biological cybernetics

authors： Mahani AS,Carlsson AE,Wessel R

更新日期：2005-04-01 00:00:00

abstract：:This paper presents a mathematical model for the learning of accurate human arm movements. Its main features are that the movement is the superposition of smooth submovements, the intrinsic deviation of arm movements is considered, visual and kinesthetic feed-back are integrated in the motion control, and the movement...

journal_title：Biological cybernetics

authors： Burdet E,Milner TE

更新日期：1998-04-01 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：:Voltage-clamp of excitable membrane allows the measurement of membrane currents associated with electrical potential changes across the membrane. However, it has been impossible in practice to apply the conventional analog feedback voltage-clamp circuits to single electrode voltage clamping in central neurons. The rea...

journal_title：Biological cybernetics

authors： Kawato M,Etoh M,Oda Y,Tsukahara N

更新日期：1985-01-01 00:00:00

abstract：:An intracellular recording made from the retinal luminosity horizontal cell (LHC) demonstrated that repetitive red flashes enhanced the cell's responsiveness to red stimulus and depressed its responsiveness to green stimulus and that repetitive green flashes suppressed the cell's red response but produced little chang...

journal_title：Biological cybernetics

authors： Hu JF,Liu Y,Liang PJ

更新日期：2003-05-01 00:00:00

abstract：:Synchronization of the oscillatory discharge of cortical neurons could be a part of the mechanism that is involved in cortical information processing. On the assumption that the basic functional unit is the column composed of local excitatory and inhibitory cells and generating oscillatory neural activity, a network m...

journal_title：Biological cybernetics

authors： Fukai T

更新日期：1994-01-01 00:00:00

abstract：:Fitzhugh's BVP model has been used by many people. Fitzhugh has pointed out that as the stimulus is increased the model has "inverted" behaviour. It is here shown that this is due to a lack of a mechanism of inactivation, and the model is adjusted by supplying such a mechanism, to give a new model, called BPH, which, ...

journal_title：Biological cybernetics

authors： Game CJ

更新日期：1982-01-01 00:00:00

abstract：:Two computer controlled experiments in an olfactory cross-modal matching task, using two-component odour mixtures matched against bar diagrams, were designed so that stimulus presentation was contingent upon the recent performance of the subject; stimuli that were relatively poorly (in experiment 1) or well (in experi...

journal_title：Biological cybernetics

authors： Gregson RA,Gates A

更新日期：1985-01-01 00:00:00

abstract：:Mathematical or computational models of activity-dependent neural competition typically impose competition in anatomically fixed networks by the use of synaptic normalisation, for which there is very little experimental support. Recent experimental evidence, however, strongly implicates neurotrophic factors in neural ...

journal_title：Biological cybernetics

authors： Elliott T,Shadbolt NR

更新日期：1996-12-01 00:00:00

abstract：:Firing-rate models describing neural-network activity can be formulated in terms of differential equations for the synaptic drive from neurons. Such models are typically derived from more general models based on Volterra integral equations assuming exponentially decaying temporal coupling kernels describing the coupli...

journal_title：Biological cybernetics

authors： Nordbø O,Wyller J,Einevoll GT

更新日期：2007-09-01 00:00:00

abstract：:A novel artificial neural network, derived from neurobiological observations, is described and examples of its performance are presented. This DYnamically STable Associative Learning (DYSTAL) network associatively learns both correlations and anticorrelations, and can be configured to classify or restore patterns with...

journal_title：Biological cybernetics

authors： Alkon DL,Blackwell KT,Barbour GS,Rigler AK,Vogl TP

更新日期：1990-01-01 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：:Earlier experimental studies by one of us (Kelso, 1981a, 1984) have shown that abrupt phase transitions occur in human hand movements under the influence of scalar changes in cycling frequency. Beyond a critical frequency the originally prepared out-of-phase, antisymmetric mode is replaced by a symmetrical, in-phase m...

journal_title：Biological cybernetics

authors： Haken H,Kelso JA,Bunz H

更新日期：1985-01-01 00:00:00

abstract：:We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy minimization. It is fairly easy to show that making inferences about the causes of sensory data can be cast as the minimization of a free-energy...

journal_title：Biological cybernetics

authors： Friston KJ,Daunizeau J,Kilner J,Kiebel SJ

更新日期：2010-03-01 00:00:00

abstract：:A fundamental problem in neuroscience, to which Prof. Segundo has made seminal contributions, is to understand how action potentials represent events in the external world. The aim of this paper is to review the issue of neural coding in the context of the rodent whiskers, an increasingly popular model system. Key iss...

journal_title：Biological cybernetics

authors： Petersen RS,Panzeri S,Maravall M

更新日期：2009-06-01 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：:The conductance-based refractory density (CBRD) approach is an efficient tool for modeling interacting neuronal populations. The model describes the firing activity of a statistical ensemble of uncoupled Hodgkin-Huxley-like neurons, each receiving individual Gaussian noise and a common time-varying deterministic input...

journal_title：Biological cybernetics

authors： Chizhov AV

更新日期：2017-12-01 00:00:00

abstract：:We have developed two algorithms that construct a simultaneous functional order in a collection of neural elements using purely functional relations. The input of the first algorithm is a matrix describing the total of covariances of signals carried by the members of the neural collection. The second algorithm proceed...

journal_title：Biological cybernetics

authors： Toet A,Blom J,Koenderink JJ

更新日期：1987-01-01 00:00:00

abstract：:We consider a simple electronic circuit model of a single neuron. The neuron is assumed to be driven by an external signal comprising constant (dc) and random components. In addition, the nonlinearity parameter in the circuit is assumed to fluctuate, thereby giving rise to critical behavior including the onset of hyst...

journal_title：Biological cybernetics

authors： Bulsara AR,Boss RD,Jacobs EW

更新日期：1989-01-01 00:00:00

abstract：:The multi-channel system of the segmental muscle stretch reflex arc is modelled as an arrangement of two or three parallel "component" loops coupled to each other at spinal and at muscle level. Such a model is thought to be more realistic than the usually adopted representation of the stretch reflex as a single negati...

journal_title：Biological cybernetics

authors： Koehler W,Windhorst U

更新日期：1980-01-01 00:00:00

abstract：:The idea that a sparse representation is the computational principle of visual systems has been supported by Olshausen and Field [Nature (1996) 381: 607-609] and many other studies. On the other hand neurons in the inferotemporal cortex respond to moderately complex features called icon alphabets, and such neurons res...

journal_title：Biological cybernetics

authors： Hashimoto W,Kurata K

更新日期：2000-08-01 00:00:00

abstract：:The trace version of classical conditioning is used as a prototypical hippocampal-dependent task to study the recoding sequence prediction theory of hippocampal function. This theory conjectures that the hippocampus is a random recoder of sequences and that, once formed, the neuronal codes are suitable for prediction....

journal_title：Biological cybernetics

authors： Levy WB,Sanyal A,Rodriguez P,Sullivan DW,Wu XB

更新日期：2005-06-01 00:00:00

abstract：:In bursting excitable cells such as pancreatic beta-cells and molluscan Aplysia neuron cells, intracellular Ca2+ ion plays a central role in various cellular functions. To understand the role of [Ca2+]i (the intracellular Ca2+ concentration) in electrical bursting, we formulate a mathematical model which contains a fe...

journal_title：Biological cybernetics

authors： Chay TR

更新日期：1990-01-01 00:00:00

abstract：:This article introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is important in neuroscience for two reasons. Simply applying formulae from information theory without understanding the assumptions behind their definitions can ...

journal_title：Biological cybernetics

authors： McDonnell MD,Ikeda S,Manton JH

更新日期：2011-07-01 00:00:00

abstract：:Most robot navigation systems perform place recognition using a single-sensor modality and one, or at most two heterogeneous map scales. In contrast, mammals perform navigation by combining sensing from a wide variety of modalities including vision, auditory, olfactory and tactile senses with a multi-scale, homogeneou...

journal_title：Biological cybernetics

authors： Jacobson A,Chen Z,Milford M

更新日期：2018-06-01 00:00:00

abstract：:The problems related to kinematic redundancy in both task and joint space were investigated for arm prehension movements in this paper. After a detailed analysis of kinematic redundancy of the arm, it is shown that the redundancy problem is ill posed only for the control of hand orientation. An experiment was then des...

journal_title：Biological cybernetics

authors： Wang X

更新日期：1999-06-01 00:00:00

abstract：: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 ...

journal_title：Biological cybernetics

authors： Yamakou ME,Jost J

更新日期：2018-10-01 00:00:00

abstract：:Most common motor acts involve highly redundant effector systems. Understanding how such systems are controlled by the nervous system is a long-standing scientific challenge. Most proposals for solving this problem are based on the assumption that a particular solution, which optimizes additional constraints, is selec...

journal_title：Biological cybernetics

authors： Scholz JP,Danion F,Latash ML,Schöner G

更新日期：2002-01-01 00:00:00

abstract：:Several formulations of correlation-based Hebbian learning are reviewed. On the presynaptic side, activity is described either by a firing rate or by presynaptic spike arrival. The state of the postsynaptic neuron can be described by its membrane potential, its firing rate, or the timing of backpropagating action pote...

journal_title：Biological cybernetics

authors： Gerstner W,Kistler WM

更新日期：2002-12-01 00:00:00