Cortical modulation of dorsal column nuclei: a computational study.

Abstract:

:We present a computational study aimed at exploring the sensorimotor cortex modulation of the behaviour of dorsal column nuclei, specifically the impact of synaptic parameters, during both sleep and waking conditions. On the basis of the circuit proposed by Canedo et al. (2000), we have developed realistic computational models that have been tested with simultaneous electrocorticographic as well as intracellular cuneate recordings performed in anaesthetized cats. The results show that, (1) under sleep conditions, the model can block the transmission of afferent sensory information and, (2) operations expected during wakefulness, such as filtering and facilitation, can be performed if synaptic parameters are appropriately tuned.

journal_name

J Comput Neurosci

authors

Sánchez E,Barro S,Mariño J,Canedo A

doi

10.1007/s10827-006-7058-5

subject

Has Abstract

pub_date

2006-08-01 00:00:00

pages

21-33

issue

1

eissn

0929-5313

issn

1573-6873

journal_volume

21

pub_type

杂志文章
  • 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

  • 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 shifts in the rate and pattern of subthalamopallidal network activity during deep brain stimulation.

    abstract::Deep brain stimulation (DBS) of the subthlamic nucleus (STN) represents an effective treatment for medically refractory Parkinson's disease; however, understanding of its effects on basal ganglia network activity remains limited. We constructed a computational model of the subthalamopallidal network, trained it to fit...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0225-8

    authors: Hahn PJ,McIntyre CC

    更新日期:2010-06-01 00:00:00

  • Statistical-mechanical measure of stochastic spiking coherence in a population of inhibitory subthreshold neurons.

    abstract::By varying the noise intensity, we study stochastic spiking coherence (i.e., collective coherence between noise-induced neural spikings) in an inhibitory population of subthreshold neurons (which cannot fire spontaneously without noise). This stochastic spiking coherence may be well visualized in the raster plot of ne...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0330-3

    authors: Lim W,Kim SY

    更新日期:2011-11-01 00:00:00

  • Signal propagation in feedforward neuronal networks with unreliable synapses.

    abstract::In this paper, we systematically investigate both the synfire propagation and firing rate propagation in feedforward neuronal network coupled in an all-to-all fashion. In contrast to most earlier work, where only reliable synaptic connections are considered, we mainly examine the effects of unreliable synapses on both...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0279-7

    authors: Guo D,Li C

    更新日期:2011-06-01 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

  • Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons.

    abstract::Voltage-sensitive dye imaging (VSDi) has revealed fundamental properties of neocortical processing at macroscopic scales. Since for each pixel VSDi signals report the average membrane potential over hundreds of neurons, it seems natural to use a mean-field formalism to model such signals. Here, we present a mean-field...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0668-2

    authors: Zerlaut Y,Chemla S,Chavane F,Destexhe A

    更新日期:2018-02-01 00:00:00

  • Encoding the fine-structured mechanism of action potential dynamics with qualitative motifs.

    abstract::This work presents a neuroinformatic method for deriving mechanistic descriptions of fine-structured neural activity. This is a new development in the computer-assisted analysis of dynamics in conductance-based models, which is illustrated using single compartment models of an action potential. A sequence of abstract,...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0267-y

    authors: Clewley R

    更新日期:2011-04-01 00:00:00

  • Spiking neural network simulation: numerical integration with the Parker-Sochacki method.

    abstract::Mathematical neuronal models are normally expressed using differential equations. The Parker-Sochacki method is a new technique for the numerical integration of differential equations applicable to many neuronal models. Using this method, the solution order can be adapted according to the local conditions at each time...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0131-5

    authors: Stewart RD,Bair W

    更新日期:2009-08-01 00:00:00

  • The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results.

    abstract::Retinal ganglion cells (RGCs) display differences in their morphology and intrinsic electrophysiology. The goal of this study is to characterize the ionic currents that explain the behavior of ON and OFF RGCs and to explore if all morphological types of RGCs exhibit the phenomena described in electrophysiological data...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0463-7

    authors: Maturana MI,Kameneva T,Burkitt AN,Meffin H,Grayden DB

    更新日期:2014-04-01 00:00:00

  • A model of selective processing of auditory-nerve inputs by stellate cells of the antero-ventral cochlear nucleus.

    abstract::Stellate cells in the cat antero-ventral cochlear nucleus (AVCN) maintain a robust rate-place representation of vowel spectra over a wide range of stimulus levels. This rate-place representation resembles that of low threshold, high spontaneous rate (SR) auditory nerve fibers (ANFs) at low stimulus levels, and that of...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章,评审

    doi:10.1007/BF00961733

    authors: Lai YC,Winslow RL,Sachs MB

    更新日期:1994-08-01 00:00:00

  • Correction to: Psychophysical detection and learning in freely behaving rats: a probabilistic dynamical model for operant conditioning.

    abstract::The original version of this article unfortunately has some typographical errors in equations (5), (6), (7), (8), and (12). ...

    journal_title:Journal of computational neuroscience

    pub_type: 已发布勘误

    doi:10.1007/s10827-020-00759-0

    authors: Devecioğlu İ,Güçlü B

    更新日期:2020-08-01 00:00:00

  • Slowdown of BCM plasticity with many synapses.

    abstract::During neural development sensory stimulation induces long-term changes in the receptive field of the neurons that encode the stimuli. The Bienenstock-Cooper-Munro (BCM) model was introduced to model and analyze this process computationally, and it remains one of the major models of unsupervised plasticity to this day...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00715-7

    authors: Froc M,van Rossum MCW

    更新日期:2019-04-01 00:00:00

  • Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis.

    abstract::Characterizing how different cortical rhythms interact and how their interaction changes with sensory stimulation is important to gather insights into how these rhythms are generated and what sensory function they may play. Concepts from information theory, such as Transfer Entropy (TE), offer principled ways to quant...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0236-5

    authors: Besserve M,Schölkopf B,Logothetis NK,Panzeri S

    更新日期:2010-12-01 00:00:00

  • Local diameter fully constrains dendritic size in basal but not apical trees of CA1 pyramidal neurons.

    abstract::Computational modeling of dendritic morphology is a powerful tool for quantitatively describing complex geometrical relationships, uncovering principles of dendritic development, and synthesizing virtual neurons to systematically investigate cellular biophysics and network dynamics. A feature common to many morphologi...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-1850-5

    authors: Donohue DE,Ascoli GA

    更新日期:2005-10-01 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

  • Models of calmodulin trapping and CaM kinase II activation in a dendritic spine.

    abstract::Activation of calcium/calmodulin-dependent protein kinase II (CaMKII) by calmodulin following calcium entry into the cell is important for long-term potentiation (LTP). Here a model of calmodulin binding and trapping by CaMKII in a dendritic spine was used to estimate levels and durations of CaMKII activation followin...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008969032563

    authors: Holmes WR

    更新日期:2000-01-01 00:00:00

  • Effects of mean firing on neural information rate.

    abstract::We investigated the effect of mean firing on the information rate of a spiking motion-sensitive neuron in the fly (H1-cell). In the control condition, the cell was stimulated repeatedly by identical zero-symmetrical white-noise motion. The mean firing rate was manipulated by adding a constant velocity offset either in...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1011225232120

    authors: Borst A,Haag J

    更新日期:2001-03-01 00:00:00

  • Relating reflex gain modulation in posture control to underlying neural network properties using a neuromusculoskeletal model.

    abstract::During posture control, reflexive feedback allows humans to efficiently compensate for unpredictable mechanical disturbances. Although reflexes are involuntary, humans can adapt their reflexive settings to the characteristics of the disturbances. Reflex modulation is commonly studied by determining reflex gains: a set...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0278-8

    authors: Schuurmans J,van der Helm FC,Schouten AC

    更新日期:2011-06-01 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

  • 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

  • Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron.

    abstract::An analytical model is proposed that can predict the shape of the poststimulus time histogram (PSTH) response to a current pulse of a neuron subjected to uncorrelated background input. The model is based on an explicit description of noise in the form of an escape rate and corresponding hazard function. Two forms of t...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1012841516004

    authors: Herrmann A,Gerstner W

    更新日期:2001-09-01 00:00:00

  • A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system.

    abstract::Motivated by experimental observations of the head direction system, we study a three population network model that operates as a continuous attractor network. This network is able to store in a short-term memory an angular variable (the head direction) as a spatial profile of activity across neurons in the absence of...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-6559-y

    authors: Boucheny C,Brunel N,Arleo A

    更新日期:2005-03-01 00:00:00

  • Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.

    abstract::Neuron modeling may be said to have originated with the Hodgkin and Huxley action potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over the ensuing decades, these approaches have led to a massive development of increasingly accurate and complex data-based models of neurons and ne...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章,评审

    doi:10.1007/s10827-016-0623-7

    authors: McDougal RA,Morse TM,Carnevale T,Marenco L,Wang R,Migliore M,Miller PL,Shepherd GM,Hines ML

    更新日期:2017-02-01 00:00:00

  • Parametric and non-parametric modeling of short-term synaptic plasticity. Part II: Experimental study.

    abstract::This paper presents a synergistic parametric and non-parametric modeling study of short-term plasticity (STP) in the Schaffer collateral to hippocampal CA1 pyramidal neuron (SC) synapse. Parametric models in the form of sets of differential and algebraic equations have been proposed on the basis of the current underst...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0098-2

    authors: Song D,Wang Z,Marmarelis VZ,Berger TW

    更新日期:2009-02-01 00:00:00

  • Silicon synaptic conductances.

    abstract::We have developed compact analog integrated circuits that simulate two synaptic excitatory conductances. A four-transistor circuit captures the dynamics of an excitatory postsynaptic current caused by a real AMPA conductance. A six-transistor circuit simulates the effects of a real voltage-dependent NMDA conductance. ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008963426194

    authors: Rasche C,Douglas RJ

    更新日期:1999-07-01 00:00:00

  • A neural mass model based on single cell dynamics to model pathophysiology.

    abstract::Neural mass models are successful in modeling brain rhythms as observed in macroscopic measurements such as the electroencephalogram (EEG). While the synaptic current is explicitly modeled in current models, the single cell electrophysiology is not taken into account. To allow for investigations of the effects of chan...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-014-0517-5

    authors: Zandt BJ,Visser S,van Putten MJ,Ten Haken B

    更新日期:2014-12-01 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

  • 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

  • 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