Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework.

abstract：:We offer a hypothesis on the organization of multi-effector motor synergies and illustrate it with the task of force production with a set of fingers. A physical metaphor, a leaking bucket, is analyzed to demonstrate that an inanimate structure can show apparent error compensation among its elements. A neural model is...

journal_title：Biological cybernetics

authors： Latash ML,Shim JK,Smilga AV,Zatsiorsky VM

更新日期：2005-03-01 00:00:00

abstract：:Neurons in sensory cortices are often assumed to be "feature detectors", computing simple and then successively more complex features out of the incoming sensory stream. These features are somehow integrated into percepts. Despite many years of research, a convincing candidate for such a feature in primary auditory co...

journal_title：Biological cybernetics

authors： Nelken I,Fishbach A,Las L,Ulanovsky N,Farkas D

更新日期：2003-11-01 00:00:00

abstract：:In this paper we present a systematic method for generating simulations of nonstationary EEG. Such simulations are needed, for example, in the evaluation of tracking algorithms. First a state evolution process is simulated. The states are initially represented as segments of stationary autoregressive processes which a...

journal_title：Biological cybernetics

authors： Kaipio JP,Karjalainen PA

更新日期：1997-05-01 00:00:00

abstract：:The relationship between disparity and ocular vergence was investigated under closed-loop as well as under open-loop viewing conditions. First we examined whether vergence responded similarly to disparity presented under open-loop and closed-loop conditions. Similar response were observed in both conditions. The direc...

journal_title：Biological cybernetics

authors： Pobuda M,Erkelens CJ

更新日期：1993-01-01 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：:Stochastic resonance is demonstrated in a simple energy detector model, as a non-monotonic relationship between signal-to-noise ratio and detection of a sinusoid signal in bandpass-limited Gaussian noise. The behaviour of the model detecting signals of various intensities and signal-to-noise ratios was investigated. S...

journal_title：Biological cybernetics

authors： Tougaard J

更新日期：2000-11-01 00:00:00

abstract：:The effect of spatial frequency discrimination learning on spatial frequency detection tuning curves, obtained by a summation to threshold paradigm, has been investigated. Three human observers were exposed to a grating discrimination task for longer than two weeks, and their detection thresholds for compound Gabor gr...

journal_title：Biological cybernetics

authors： Meinhardt G

更新日期：2001-05-01 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：:Taste buds endure extreme changes in temperature, pH, osmolarity, so on. Even though taste bud cells are replaced in a short span, they contribute to consistent taste reception. Each taste bud consists of about 50 cells whose networks are assumed to process taste information, at least preliminarily. In this article, w...

journal_title：Biological cybernetics

authors： Tateno K,Igarashi J,Ohtubo Y,Nakada K,Miki T,Yoshii K

更新日期：2011-07-01 00:00:00

abstract：:In previous work it has been shown in posture experiments of the human arm that reflexive dynamics were substantial for narrow-band stochastic force disturbances. The estimated reflex gains varied substantially with the frequency content of the disturbances. The present study analyses a simplified linear model of the ...

journal_title：Biological cybernetics

authors： de Vlugt E,van der Helm FC,Schouten AC,Brouwn GG

更新日期：2001-02-01 00:00:00

abstract：:Connections among ventrolateral medullary respiratory neurons inferred from spike train analysis were incorporated into a model and simulated with the program SYSTM11 (MacGregor 1987). Inspiratory (I) and expiratory (E) neurons with augmenting (AUG) and decrementing (DEC) discharge patterns and rostral I-E/I neurons e...

journal_title：Biological cybernetics

authors： Balis UJ,Morris KF,Koleski J,Lindsey BG

更新日期：1994-01-01 00:00:00

abstract：:The availability of a simple-to-use, automatic measurement system for noninvasive flow estimation is imperative, given the clinical demand for an acceptable noninvasive procedure rather than the standard invasive procedure of thermodilution. A method for calculating cardiac output from noninvasively derived pressure p...

journal_title：Biological cybernetics

authors： Redling JD,Akay M

更新日期：1997-08-01 00:00:00

abstract：:The operation of a hierarchical competitive network model (VisNet) of invariance learning in the visual system is investigated to determine how this class of architecture can solve problems that require the spatial binding of features. First, we show that VisNet neurons can be trained to provide transform-invariant di...

journal_title：Biological cybernetics

authors： Elliffe MC,Rolls ET,Stringer SM

更新日期：2002-01-01 00:00:00

abstract：:Many neurons at the sensory periphery receive periodic input, and their activity exhibits entrainment to this input in the form of a preferred phase for firing. This article describes a modeling study of neurons which skip a random number of cycles of the stimulus between firings over a large range of input intensitie...

journal_title：Biological cybernetics

authors： Longtin A,Bulsara A,Pierson D,Moss F

更新日期：1994-01-01 00:00:00

abstract：:We present a general neural model for supervised learning of pattern categories which can resolve pattern classes separated by nonlinear, essentially arbitrary boundaries. The concept of a pattern class develops from storing in memory a limited number of class elements (prototypes). Associated with each prototype is a...

journal_title：Biological cybernetics

authors： Reilly DL,Cooper LN,Elbaum C

更新日期：1982-01-01 00:00:00

abstract：:A neural network model of the mechanism of selective attention in visual pattern recognition is proposed and simulated on a digital computer. When a complex figure consisting of two patterns or more is presented to the model, it is segmented into individual patterns, and each pattern is recognized separately. Even if ...

journal_title：Biological cybernetics

authors： Fukushima K

更新日期：1986-01-01 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：:This work proposes a model of visual bottom-up attention for dynamic scene analysis. Our work adds motion saliency calculations to a neural network model with realistic temporal dynamics [(e.g., building motion salience on top of De Brecht and Saiki Neural Networks 19:1467-1474, (2006)]. The resulting network elicits ...

journal_title：Biological cybernetics

authors： Ramirez-Moreno DF,Schwartz O,Ramirez-Villegas JF

更新日期：2013-04-01 00:00:00

abstract：:An approach to solving nonlinear control problems is illustrated by means of a layered associative network composed of adaptive elements capable of reinforcement learning. The first layer adaptively develops a representation in terms of which the second layer can solve the problem linearly. The adaptive elements compr...

journal_title：Biological cybernetics

authors： Barto AG,Anderson CW,Sutton RS

更新日期：1982-01-01 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：:Statistical properties of spike trains as well as other neurophysiological data suggest a number of mathematical models of neurons. These models range from entirely descriptive ones to those deduced from the properties of the real neurons. One of them, the diffusion leaky integrate-and-fire neuronal model, which is ba...

journal_title：Biological cybernetics

authors： Lansky P,Sacerdote L,Zucca C

更新日期：2016-06-01 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：:This report demonstrates the effectiveness of two processes in constructing simple feedforward networks which perform good transformations on their inputs. Good transformations are characterized by the minimization of two information measures: the information loss incurred with the transformation and the statistical d...

journal_title：Biological cybernetics

authors： Adelsberger-Mangan DM,Levy WB

更新日期：1993-01-01 00:00:00

abstract：:Diffusion processes have been extensively used to describe membrane potential behavior. In this approach the interspike interval has a theoretical counterpart in the first-passage-time of the diffusion model employed. Since the mathematical complexity of the first-passage-time problem increases with attempts to make t...

journal_title：Biological cybernetics

authors： Lánský P,Sacerdote L,Tomassetti F

更新日期：1995-10-01 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：:A mathematical model of the central neural mechanisms of respiratory rhythm generation is developed. This model assumes that the respiratory cycle consists of three phases: inspiration, post-inspiration, and expiration. Five respiratory neuronal groups are included: inspiratory, late-inspiratory, post-inspiratory, exp...

journal_title：Biological cybernetics

authors： Botros SM,Bruce EN

更新日期：1990-01-01 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：: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 activat...

journal_title：Biological cybernetics

authors： Lancia L,Rosenbaum B

更新日期：2018-06-01 00:00:00

abstract：:The visual system is constantly confronted with the problem of integrating local signals into more global arrangements. This arises from the nature of early cell responses, whether they signal localized measures of luminance, motion, retinal position differences, or discontinuities. Consequently, from sparse, local me...

journal_title：Biological cybernetics

authors： Neumann H,Pessoa L,Hansen T

更新日期：2001-11-01 00:00:00

abstract：:Cognitive theory has decomposed human mental abilities into cognitive (sub) systems, and cognitive neuroscience succeeded in disclosing a host of relationships between cognitive systems and specific structures of the human brain. However, an explanation of why specific functions are located in specific brain loci had ...

journal_title：Biological cybernetics

authors： Pulvermüller F,Garagnani M,Wennekers T

更新日期：2014-10-01 00:00:00