听力与言语-语言病理学

行为科学

医学伦理学

你正在浏览JOURNAL OF COMPUTATIONAL NEUROSCIENCE期刊下所有文献
  • 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

  • Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons.

    abstract::Networks of spiking neurons can have persistently firing stable bump attractors to represent continuous spaces (like temperature). This can be done with a topology with local excitatory synapses and local surround inhibitory synapses. Activating large ranges in the attractor can lead to multiple bumps, that show repel...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00758-1

    authors: Huyck CR,Vergani AA

    更新日期:2020-08-01 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

  • Macaque monkeys show reversed ocular following responses to two-frame-motion stimulus presented with inter-stimulus intervals.

    abstract::When two-frame apparent motion stimuli are presented with an appropriate inter-stimulus interval (ISI), motion is perceived in the direction opposite to the actual image shift. Herein, we measured a simple eye movement, ocular following responses (OFRs), in macaque monkeys to examine the ISI reversal effect on oculomo...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00756-3

    authors: Takemura A,Matsumoto J,Hashimoto R,Kawano K,Miura K

    更新日期:2020-07-17 00:00:00

  • Modelling acute and lasting effects of tDCS on epileptic activity.

    abstract::Transcranial Direct brain stimulation (tDCS) is commonly used in order to modulate cortical networks activity during physiological processes through the application of weak electrical fields with scalp electrodes. Cathodal stimulation has been shown to decrease brain excitability in the context of epilepsy, with varia...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00745-6

    authors: Denoyer Y,Merlet I,Wendling F,Benquet P

    更新日期:2020-05-01 00:00:00

  • Dynamics of a neuron-glia system: the occurrence of seizures and the influence of electroconvulsive stimuli : A mathematical and numerical study.

    abstract::In this paper, we investigate the dynamics of a neuron-glia cell system and the underlying mechanism for the occurrence of seizures. For our mathematical and numerical investigation of the cell model we will use bifurcation analysis and some computational methods. It turns out that an increase of the potassium concent...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00746-5

    authors: Erhardt AH,Mardal KA,Schreiner JE

    更新日期:2020-05-01 00:00:00

  • A calcium-influx-dependent plasticity model exhibiting multiple STDP curves.

    abstract::Hebbian plasticity means that if the firing of two neurons is correlated, then their connection is strengthened. Conversely, uncorrelated firing causes a decrease in synaptic strength. Spike-timing-dependent plasticity (STDP) represents one instantiation of Hebbian plasticity. Under STDP, synaptic changes depend on th...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00737-1

    authors: Houben AM,Keil MS

    更新日期:2020-02-01 00:00:00

  • Spatiotemporal model of tripartite synapse with perinodal astrocytic process.

    abstract::Information transfer may not be limited only to synapses. Therefore, the processes and dynamics of biological neuron-astrocyte coupling and intercellular interaction within this domain are worth investigating. Existing models of tripartite synapse consider an astrocyte as a point process. Here, we extended the tripart...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00734-4

    authors: Lorenzo J,Vuillaume R,Binczak S,Jacquir S

    更新日期:2020-02-01 00:00:00

  • Reduced order models of myelinated axonal compartments.

    abstract::The paper presents a hierarchical series of computational models for myelinated axonal compartments. Three classes of models are considered, either with distributed parameters (2.5D EQS-ElectroQuasi Static, 1D TL-Transmission Lines) or with lumped parameters (0D). They are systematically analyzed with both analytical ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00726-4

    authors: Ioan D,Bărbulescu R,Silveira LM,Ciuprina G

    更新日期:2019-12-01 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

  • 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

  • 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

  • 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

  • Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail.

    abstract::Replicability and reproducibility of computational models has been somewhat understudied by "the replication movement." In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and m...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-018-0702-z

    authors: Miłkowski M,Hensel WM,Hohol M

    更新日期:2018-12-01 00:00:00

  • A common goodness-of-fit framework for neural population models using marked point process time-rescaling.

    abstract::A critical component of any statistical modeling procedure is the ability to assess the goodness-of-fit between a model and observed data. For spike train models of individual neurons, many goodness-of-fit measures rely on the time-rescaling theorem and assess model quality using rescaled spike times. Recently, there ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-018-0698-4

    authors: Tao L,Weber KE,Arai K,Eden UT

    更新日期:2018-10-01 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

  • 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

  • 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

  • Disrupted cholinergic modulation can underlie abnormal gamma rhythms in schizophrenia and auditory hallucination.

    abstract::The pathophysiology of auditory hallucination, a common symptom of schizophrenia, has yet been understood, but during auditory hallucination, primary auditory cortex (A1) shows paradoxical responses. When auditory stimuli are absent, A1 becomes hyperactive, while A1 responses to auditory stimuli are reduced. Such acti...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0666-4

    authors: Lee JH

    更新日期:2017-12-01 00:00:00

  • Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise.

    abstract::A neuron receives input from other neurons via electrical pulses, so-called spikes. The pulse-like nature of the input is frequently neglected in analytical studies; instead, the input is usually approximated to be Gaussian. Recent experimental studies have shown, however, that an assumption underlying this approximat...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0649-5

    authors: Droste F,Lindner B

    更新日期:2017-08-01 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

  • 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

  • Parallel linear dynamic models can mimic the McGurk effect in clinical populations.

    abstract::One of the most common examples of audiovisual speech integration is the McGurk effect. As an example, an auditory syllable /ba/ recorded over incongruent lip movements that produce "ga" typically causes listeners to hear "da". This report hypothesizes reasons why certain clinical and listeners who are hard of hearing...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-016-0610-z

    authors: Altieri N,Yang CT

    更新日期:2016-10-01 00:00:00

  • From global to local: exploring the relationship between parameters and behaviors in models of electrical excitability.

    abstract::Models of electrical activity in excitable cells involve nonlinear interactions between many ionic currents. Changing parameters in these models can produce a variety of activity patterns with sometimes unexpected effects. Further more, introducing new currents will have different effects depending on the initial para...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-016-0600-1

    authors: Fletcher P,Bertram R,Tabak J

    更新日期:2016-06-01 00:00:00

  • A minimum-error, energy-constrained neural code is an instantaneous-rate code.

    abstract::Sensory neurons code information about stimuli in their sequence of action potentials (spikes). Intuitively, the spikes should represent stimuli with high fidelity. However, generating and propagating spikes is a metabolically expensive process. It is therefore likely that neural codes have been selected to balance en...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-016-0592-x

    authors: Johnson EC,Jones DL,Ratnam R

    更新日期:2016-04-01 00:00:00

  • Reliability of signal transmission in stochastic nerve axon equations.

    abstract::We introduce a method for computing probabilities for spontaneous activity and propagation failure of the action potential in spatially extended, conductance-based neuronal models subject to noise, based on statistical properties of the membrane potential. We compare different estimators with respect to the quality of...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0586-0

    authors: Sauer M,Stannat W

    更新日期:2016-02-01 00:00:00

  • Bayesian analysis of the kinetics of quantal transmitter secretion at the neuromuscular junction.

    abstract::The timing of transmitter release from nerve endings is considered nowadays as one of the factors determining the plasticity and efficacy of synaptic transmission. In the neuromuscular junction, the moments of release of individual acetylcholine quanta are related to the synaptic delays of uniquantal endplate currents...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0567-3

    authors: Saveliev A,Khuzakhmetova V,Samigullin D,Skorinkin A,Kovyazina I,Nikolsky E,Bukharaeva E

    更新日期:2015-10-01 00:00:00

  • Modeling synchronous theta activity in the medial septum: key role of local communications between different cell populations.

    abstract::It is widely believed that the theta rhythm in the hippocampus is caused by the rhythmic input from the medial septum-diagonal band of Broca (MSDB). The main MSDB output is formed by GABAergic projection neurons which are divided into two subpopulations and fire at different phases of the hippocampal theta rhythm. The...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0564-6

    authors: Mysin IE,Kitchigina VF,Kazanovich Y

    更新日期:2015-08-01 00:00:00

  • A probabilistic method for determining cortical dynamics during seizures.

    abstract::This work presents a probabilistic method for inferring the parameter ranges in a biologically relevant mathematical model of the cortex most likely to be producing seizures observed in an electrocorticogram (ECoG) signal from a human subject. Additionally, this method produces a probabilistic pathway of the temporal ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0554-8

    authors: Dadok VM,Kirsch HE,Sleigh JW,Lopour BA,Szeri AJ

    更新日期:2015-06-01 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

  • 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

  • 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

  • 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

  • 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

  • Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents.

    abstract::Many neuron types exhibit preferred frequency responses in their voltage amplitude (resonance) or phase shift to subthreshold oscillatory currents, but the effect of biophysical parameters on these properties is not well understood. We propose a general framework to analyze the role of different ionic currents and the...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0483-3

    authors: Rotstein HG,Nadim F

    更新日期:2014-08-01 00:00:00

  • Open loop optogenetic control of simulated cortical epileptiform activity.

    abstract::We present a model for the use of open loop optogenetic control to inhibit epileptiform activity in a meso scale model of the human cortex. The meso scale cortical model first developed by Liley et al. (2001) is extended to two dimensions and the nature of the seizure waves is studied. We adapt to the meso scale a 4 s...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0484-2

    authors: Selvaraj P,Sleigh JW,Freeman WJ,Kirsch HE,Szeri AJ

    更新日期:2014-06-01 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

  • Compensating for synaptic loss in Alzheimer's disease.

    abstract::Confirming that synaptic loss is directly related to cognitive deficit in Alzheimer's disease (AD) has been the focus of many studies. Compensation mechanisms counteract synaptic loss and prevent the catastrophic amnesia induced by synaptic loss via maintaining the activity levels of neural circuits. Here we investiga...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0462-8

    authors: Abuhassan K,Coyle D,Belatreche A,Maguire L

    更新日期:2014-02-01 00:00:00

  • Firing-rate models capture essential response dynamics of LGN relay cells.

    abstract::Firing-rate models provide a practical tool for studying signal processing in the early visual system, permitting more thorough mathematical analysis than spike-based models. We show here that essential response properties of relay cells in the lateral geniculate nucleus (LGN) can be captured by surprisingly simple fi...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0456-6

    authors: Heiberg T,Kriener B,Tetzlaff T,Casti A,Einevoll GT,Plesser HE

    更新日期:2013-12-01 00:00:00

  • Lyapunov exponents computation for hybrid neurons.

    abstract::Lyapunov exponents are a basic and powerful tool to characterise the long-term behaviour of dynamical systems. The computation of Lyapunov exponents for continuous time dynamical systems is straightforward whenever they are ruled by vector fields that are sufficiently smooth to admit a variational model. Hybrid neuron...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0448-6

    authors: Bizzarri F,Brambilla A,Gajani GS

    更新日期:2013-10-01 00:00:00

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