当前位置： SCI文献检索 > JOURNAL OF COMPUTATIONAL NEUROSCIENCE期刊下所有文献 > Distributed processing on the basis of parallel and antagonistic pathways simulation of the femur-tibia control system in the stick insect.

Distributed processing on the basis of parallel and antagonistic pathways simulation of the femur-tibia control system in the stick insect.

Abstract：

:In inactive stick insects, sensory information from the femoral chordotonal organ (fCO) about position and movement of the femur-tibia joint is transferred via local nonspiking interneurons onto extensor and flexor tibiae motoneurons. Information is processed by the interaction of antagonistic parallel pathways at two levels: (1) at the input side of the nonspiking interneurons and (2) at the input side of the motoneurons. We tested by a combination of physiological experiments and computer simulation whether the known network topology and the properties of its elements are sufficient to explain the generation of the motor output in response to passive joint movements, that is resistance reflexes. In reinvestigating the quantitative characteristics of interneuronal pathways we identified 10 distinct types of nonspiking interneurons. Synaptic inputs from fCO afferents onto these interneurons are direct excitatory and indirect inhibitory. These connections were investigated with respect to position and velocity signals from the fCO. The results were introduced in the network simulation. The motor output of the simulation has the same characteristics as the real system, even when particular types of interneurons were removed in the simulation and the real system.

journal_name

J Comput Neurosci

journal_title

Journal of computational neuroscience

authors

Sauer AE,Driesang RB,Büschges A,Bässler U

doi

10.1007/BF00161131

subject

Has Abstract

pub_date

1996-09-01 00:00:00

pages

179-98

issue

3

eissn

0929-5313

issn

1573-6873

journal_volume

3

pub_type

杂志文章

相关文献

JOURNAL OF COMPUTATIONAL NEUROSCIENCE文献大全
  • Effect of non-symmetric waveform on conduction block induced by high-frequency (kHz) biphasic stimulation in unmyelinated axon.

    abstract：:The effect of a non-symmetric waveform on nerve conduction block induced by high-frequency biphasic stimulation is investigated using a lumped circuit model of the unmyelinated axon based on Hodgkin-Huxley equations. The simulation results reveal that the block threshold monotonically increases with the stimulation fr...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-014-0510-z

    authors： Zhao S,Yang G,Wang J,Roppolo JR,de Groat WC,Tai C

    更新日期：2014-10-01 00:00:00

  • ModelDB: A Database to Support Computational Neuroscience.

    abstract：:Wider dissemination and testing of computational models are crucial to the field of computational neuroscience. Databases are being developed to meet this need. ModelDB is a web-accessible database for convenient entry, retrieval, and running of published models on different platforms. This article provides a guide to...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/B:JCNS.0000023869.22017.2e

    authors： Hines ML,Morse T,Migliore M,Carnevale NT,Shepherd GM

    更新日期：2004-07-01 00:00:00

  • Integrating top-down and bottom-up sensory processing by somato-dendritic interactions.

    abstract：:The classical view of cortical information processing is that of a bottom-up process in a feedforward hierarchy. However, psychophysical, anatomical, and physiological evidence suggests that top-down effects play a crucial role in the processing of input stimuli. Not much is known about the neural mechanisms underlyin...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/a:1008973215925

    authors： Siegel M,Körding KP,König P

    更新日期：2000-03-01 00:00:00

  • Neural mass models as a tool to investigate neural dynamics during seizures.

    abstract：:Epilepsy is one of the most common neurological disorders and is characterized by recurrent seizures. We use theoretical neuroscience tools to study brain dynamics during seizures. We derive and simulate a computational model of a network of hippocampal neuronal populations. Each population within the network is based...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-017-0636-x

    authors： Kameneva T,Ying T,Guo B,Freestone DR

    更新日期：2017-04-01 00:00:00

  • The impact of internodal segmentation in biophysical nerve fiber models.

    abstract：:Implementation of double cable models to simulate the behavior of myelinated peripheral nerve fibers requires defining a segmentation of the internode between successive nodes of Ranvier. The number of internodal segments is a model parameter that is not well agreed on, with values in the literature ranging from 1 to ...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-014-0503-y

    authors： Dekker DM,Briaire JJ,Frijns JH

    更新日期：2014-10-01 00:00:00

  • Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media.

    abstract：:The resistive or non-resistive nature of the extracellular space in the brain is still debated, and is an important issue for correctly modeling extracellular potentials. Here, we first show theoretically that if the medium is resistive, the frequency scaling should be the same for electroencephalogram (EEG) and magne...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-010-0263-2

    authors： Dehghani N,Bédard C,Cash SS,Halgren E,Destexhe A

    更新日期：2010-12-01 00:00:00

  • A computational investigation of electrotonic coupling between pyramidal cells in the cortex.

    abstract：:The existence of electrical communication among pyramidal cells (PCs) in the adult cortex has been debated by neuroscientists for several decades. Gap junctions (GJs) among cortical interneurons have been well documented experimentally and their functional roles have been proposed by both computational neuroscientists...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-020-00762-5

    authors： Crodelle J,Zhou D,Kovačič G,Cai D

    更新日期：2020-11-01 00:00:00

  • Modeling grid fields instead of modeling grid cells : An effective model at the macroscopic level and its relationship with the underlying microscopic neural system.

    abstract：:A neuron's firing correlates are defined as the features of the external world to which its activity is correlated. In many parts of the brain, neurons have quite simple such firing correlates. A striking example are grid cells in the rodent medial entorhinal cortex: their activity correlates with the animal's positio...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-019-00722-8

    authors： Rosay S,Weber S,Mulas M

    更新日期：2019-08-01 00:00:00

  • Improved dimensionally-reduced visual cortical network using stochastic noise modeling.

    abstract：:In this paper, we extend our framework for constructing low-dimensional dynamical system models of large-scale neuronal networks of mammalian primary visual cortex. Our dimensional reduction procedure consists of performing a suitable linear change of variables and then systematically truncating the new set of equatio...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-011-0359-3

    authors： Tao L,Praissman J,Sornborger AT

    更新日期：2012-04-01 00:00:00

  • Oscillations in large-scale cortical networks: map-based model.

    abstract：:We develop a new computationally efficient approach for the analysis of complex large-scale neurobiological networks. Its key element is the use of a new phenomenological model of a neuron capable of replicating important spike pattern characteristics and designed in the form of a system of difference equations (a map...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/B:JCNS.0000037683.55688.7e

    authors： Rulkov NF,Timofeev I,Bazhenov M

    更新日期：2004-09-01 00:00:00

  • Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model.

    abstract：:Many mechanisms of neural processing rely critically upon the synaptic connectivity between neurons. As our ability to simultaneously record from large populations of neurons expands, the ability to infer network connectivity from this data has become a major goal of computational neuroscience. To address this issue, ...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-013-0443-y

    authors： Kobayashi R,Kitano K

    更新日期：2013-08-01 00:00:00

  • A biologically plausible model of time-scale invariant interval timing.

    abstract：:The temporal durations between events often exert a strong influence over behavior. The details of this influence have been extensively characterized in behavioral experiments in different animal species. A remarkable feature of the data collected in these experiments is that they are often time-scale invariant. This ...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-009-0197-8

    authors： Almeida R,Ledberg A

    更新日期：2010-02-01 00:00:00

  • The autapse: a simple illustration of short-term analog memory storage by tuned synaptic feedback.

    abstract：:According to a popular hypothesis, short-term memories are stored as persistent neural activity maintained by synaptic feedback loops. This hypothesis has been formulated mathematically in a number of recurrent network models. Here we study an abstraction of these models, a single neuron with a synapse onto itself, or...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/a:1008971908649

    authors： Seung HS,Lee DD,Reis BY,Tank DW

    更新日期：2000-09-01 00:00:00

  • Simulation of gamma rhythms in networks of interneurons and pyramidal cells.

    abstract：:Networks of hippocampal interneurons, with pyramidal neurons pharmacologically disconnected, can generate gamma-frequency (20 Hz and above) oscillations. Experiments and models have shown how the network frequency depends on excitation of the interneurons, and on the parameters of GABAA-mediated IPSCs between the inte...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/a:1008839312043

    authors： Traub RD,Jefferys JG,Whittington MA

    更新日期：1997-04-01 00:00:00

  • Spiking neural circuits with dendritic stimulus processors : encoding, decoding, and identification in reproducing kernel Hilbert spaces.

    abstract：:We present a multi-input multi-output neural circuit architecture for nonlinear processing and encoding of stimuli in the spike domain. In this architecture a bank of dendritic stimulus processors implements nonlinear transformations of multiple temporal or spatio-temporal signals such as spike trains or auditory and ...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-014-0522-8

    authors： Lazar AA,Slutskiy YB

    更新日期：2015-02-01 00:00:00

  • Linear-nonlinear-time-warp-poisson models of neural activity.

    abstract：:Prominent models of spike trains assume only one source of variability - stochastic (Poisson) spiking - when stimuli and behavior are fixed. However, spike trains may also reflect variability due to internal processes such as planning. For example, we can plan a movement at one point in time and execute it at some arb...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-018-0696-6

    authors： Lawlor PN,Perich MG,Miller LE,Kording KP

    更新日期：2018-12-01 00:00:00

  • New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.

    abstract：:During slow-wave sleep, brain electrical activity is dominated by the slow (< 1 Hz) electroencephalogram (EEG) oscillations characterized by the periodic transitions between active (or Up) and silent (or Down) states in the membrane voltage of the cortical and thalamic neurons. Sleep slow oscillation is believed to pl...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-017-0663-7

    authors： Komarov M,Krishnan G,Chauvette S,Rulkov N,Timofeev I,Bazhenov M

    更新日期：2018-02-01 00:00:00

  • Early cortical orientation selectivity: how fast inhibition decodes the order of spike latencies.

    abstract：:Following a flashed stimulus, I show that a simple neurophysiological mechanism in the primary visual system can generate orientation selectivity based on the first incoming spikes. A biological model of the lateral geniculate nucleus generates an asynchronous wave of spikes, with the most strongly activated neurons f...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/a:1027420012134

    authors： Delorme A

    更新日期：2003-11-01 00:00:00

  • Encoding whisker deflection velocity within the rodent barrel cortex using phase-delayed inhibition.

    abstract：:The primary sensory feature represented within the rodent barrel cortex is the velocity with which a whisker has been deflected. Whisker deflection velocity is encoded within the thalamus via population synchrony (higher deflection velocities entail greater synchrony among the corresponding thalamic population). Thala...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-014-0535-3

    authors： Liu R,Patel M,Joshi B

    更新日期：2014-12-01 00:00:00

  • Role of hyperpolarization-activated conductances in the lateral superior olive: a modeling study.

    abstract：:This modeling study examines the possible functional roles of two hyperpolarization-activated conductances in lateral superior olive (LSO) principal neurons. Inputs of these LSO neurons are transformed into an output, which provides a firing-rate code for a certain interaural sound intensity difference (IID) range. Re...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-005-5637-5

    authors： Szalisznyó K

    更新日期：2006-04-01 00:00:00

  • Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons.

    abstract：:Neuronal responses are often characterized by the firing rate as a function of the stimulus mean, or the f-I curve. We introduce a novel classification of neurons into Types A, B-, and B+ according to how f-I curves are modulated by input fluctuations. In Type A neurons, the f-I curves display little sensitivity to in...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-009-0142-x

    authors： Lundstrom BN,Famulare M,Sorensen LB,Spain WJ,Fairhall AL

    更新日期：2009-10-01 00:00:00

  • Model analyses of visual biofeedback training for EEG-based brain-computer interface.

    abstract：:The primary goal of this study was to construct a simulation model of a biofeedback brain-computer interface (BCI) system to analyze the effect of biofeedback training on BCI users. A mathematical model of a man-machine visual-biofeedback BCI system was constructed to simulate a subject using a BCI system to control c...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-009-0148-4

    authors： Chen CW,Ju MS,Sun YN,Lin CC

    更新日期：2009-12-01 00:00:00

  • Two-cell to N-cell heterogeneous, inhibitory networks: precise linking of multistable and coherent properties.

    abstract：:Inhibitory networks are now recognized as being the controllers of several brain rhythms. However, experimental work with inhibitory cells is technically difficult not only because of their smaller percentage of the neuronal population, but also because of their diverse properties. As such, inhibitory network models w...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-005-0331-1

    authors： Skinner FK,Bazzazi H,Campbell SA

    更新日期：2005-06-01 00:00:00

  • Spatiotemporal maps of CaMKII in dendritic spines.

    abstract：:The calcium calmodulin dependent kinase (CaMKII) is important for long-term potentiation at dendritic spines. Photo-activatable GFP (PaGFP) - CaMKII fusions were used to map CaMKII movements between and within spines in dissociated hippocampal neurons. Photo-activated PaGFP (GFP*) generated in the shaft spread uniform...

    journal_title：Journal of computational neuroscience

    pub_type： 历史文章,杂志文章

    doi：10.1007/s10827-011-0377-1

    authors： Khan S,Reese TS,Rajpoot N,Shabbir A

    更新日期：2012-08-01 00:00:00

  • Noise-induced transitions in slow wave neuronal dynamics.

    abstract：:Many neuronal systems exhibit slow random alternations and sudden switches in activity states. Models with noisy relaxation dynamics (oscillatory, excitable or bistable) account for these temporal, slow wave, patterns and the fluctuations within states. The noise-induced transitions in a relaxation dynamics are analog...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-009-0178-y

    authors： Lim S,Rinzel J

    更新日期：2010-02-01 00:00:00

  • Visual responses of crayfish ocular motoneurons: an information theoretical analysis.

    abstract：:Motoneuron responses were elicited by global visual motion and stepwise displacements of an illuminated stripe. Stimulus protocols were identical to those used in previous behavioral studies of compensatory eyestalk reflexes. The firing rates and directional selectivity of the motoneuron responses were measured with r...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/a:1025873027017

    authors： Miller CS,Johnson DH,Schroeter JP,Myint L,Glantz RM

    更新日期：2003-09-01 00:00:00

  • Dendritic Ih selectively blocks temporal summation of unsynchronized distal inputs in CA1 pyramidal neurons.

    abstract：:The active dendritic conductances shape the input-output properties of many principal neurons in different brain regions, and the various ways in which they regulate neuronal excitability need to be investigated to better understand their functional consequences. Using a realistic model of a hippocampal CA1 pyramidal ...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/b:jcns.0000004837.81595.b0

    authors： Migliore M,Messineo L,Ferrante M

    更新日期：2004-01-01 00:00:00

  • Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

    abstract：:Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred (resonant) frequency. MPR has been investigated both experimentally and theoretically. However, whether...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-019-00710-y

    authors： Bel A,Rotstein HG

    更新日期：2019-04-01 00:00:00

  • Cliques and cavities in the human connectome.

    abstract：:Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and perform complex behaviors. Because cognitive processes involve large, distributed networks of brain areas, principled examinations of multi-n...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-017-0672-6

    authors： Sizemore AE,Giusti C,Kahn A,Vettel JM,Betzel RF,Bassett DS

    更新日期：2018-02-01 00:00:00

  • Flexibility and repeatability of finger movements during typing: analysis of multiple degrees of freedom.

    abstract：:The kinematics of the hand and fingers were studied during various keystrokes in typing. These movements were defined by 17 degrees of freedom of motion, and methods were developed to identify simplifying strategies in the execution of the task. Most of the analysis was restricted to the 11 degrees of freedom of the f...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/a:1008812426305

    authors： Soechting JF,Flanders M

    更新日期：1997-01-01 00:00:00