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

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

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

更新日期：2018-02-01 00:00:00

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

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

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

authors： Bel A,Rotstein HG

更新日期：2019-04-01 00:00:00

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

authors： Bizzarri F,Brambilla A,Gajani GS

更新日期：2013-10-01 00:00:00

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

authors： Clewley R

更新日期：2011-04-01 00:00:00

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

authors： Miłkowski M,Hensel WM,Hohol M

更新日期：2018-12-01 00:00:00

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

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

更新日期：2015-06-01 00:00:00

abstract：:The response of neurons to external stimuli greatly depends on the intrinsic dynamics of the network. Here, the intrinsic dynamics are modeled as coupling and the external input is modeled as shared and unshared noise. We assume the neurons are repetitively firing action potentials (i.e., neural oscillators), are weak...

journal_title：Journal of computational neuroscience

authors： Ly C,Ermentrout GB

更新日期：2009-06-01 00:00:00

abstract：:Linear additivity of synaptic input is a pervasive assumption in computational neuroscience, and previously Bernander et al. (Journal of Neurophysiology 72:2743-2753, 1994) point out that the sublinear additivity of a passive neuronal model can be linearized with voltage-dependent currents. Here we re-examine this per...

journal_title：Journal of computational neuroscience

authors： Morel D,Levy W

更新日期：2009-10-01 00:00:00

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

authors： Stewart RD,Bair W

更新日期：2009-08-01 00:00:00

abstract：:The goal of this paper is to design experiments that confirm the evidence of cognitive responses in functional near infrared spectroscopy and to establish relevant spectral subbands. Hemodynamic responses of brain during single-event trials in an odd-ball experiment are measured by functional near infrared spectroscop...

journal_title：Journal of computational neuroscience

authors： Akgül CB,Sankur B,Akin A

更新日期：2005-01-01 00:00:00

abstract：:We investigate the use of extracellular action potential (EAP) recordings for biophysically faithful compartmental models. We ask whether constraining a model to fit the EAP is superior to matching the intracellular action potential (IAP). In agreement with previous studies, we find that the IAP method under-constrain...

journal_title：Journal of computational neuroscience

authors： Gold C,Henze DA,Koch C

更新日期：2007-08-01 00:00:00

abstract：:We present a new method to characterize multi-input and output neuronal systems using information theory. To obtain a lower bound of transinformation we take three steps: (1) Estimation of the deterministic response to isolate components carrying stimulus information. The deviation of the original response from the de...

journal_title：Journal of computational neuroscience

authors： Eger M,Eckhorn R

更新日期：2002-05-01 00:00:00

abstract：:Rhythmic bursting activity, found in many biological systems, serves a variety of important functions. Such activity is composed of episodes, or bursts (the active phase, AP) that are separated by quiescent periods (the silent phase, SP). Here, we use mean field, firing rate models of excitatory neural network activit...

journal_title：Journal of computational neuroscience

authors： Tabak J,O'Donovan MJ,Rinzel J

更新日期：2006-12-01 00:00:00

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

authors： Almeida R,Ledberg A

更新日期：2010-02-01 00:00:00

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

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

更新日期：2010-06-17 00:00:00

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

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

更新日期：2018-02-01 00:00:00

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

authors： Kobayashi R,Kitano K

更新日期：2013-08-01 00:00:00

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

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

更新日期：2009-10-01 00:00:00

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

authors： Erhardt AH,Mardal KA,Schreiner JE

更新日期：2020-05-01 00:00:00

abstract：:Most neurons in the primary visual cortex initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. The functional consequences of adaptation are unclear. Typically a reduction of firing rate would reduce single neuron accuracy as less spikes are available for decoding, b...

journal_title：Journal of computational neuroscience

authors： Cortes JM,Marinazzo D,Series P,Oram MW,Sejnowski TJ,van Rossum MC

更新日期：2012-06-01 00:00:00

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

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

更新日期：2013-12-01 00:00:00

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

authors： Hahn PJ,McIntyre CC

更新日期：2010-06-01 00:00:00

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

authors： Rasche C,Douglas RJ

更新日期：1999-07-01 00:00:00

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

authors： Fletcher P,Bertram R,Tabak J

更新日期：2016-06-01 00:00:00

abstract：:We consider whole-cell voltage-clamp data of isolated currents characterized by the Hodgkin-Huxley paradigm. We examine the errors associated with the typical parameter estimation method for these data and show them to be unsatisfactorally large especially if the time constants of activation and inactivation are not s...

journal_title：Journal of computational neuroscience

authors： Willms AR,Baro DJ,Harris-Warrick RM,Guckenheimer J

更新日期：1999-03-01 00:00:00

abstract：:Synaptic plasticity is believed to represent the neural correlate of mammalian learning and memory function. It has been demonstrated that changes in synaptic conductance can be induced by approximately synchronous pairings of pre- and post- synaptic action potentials delivered at low frequencies. It has also been est...

journal_title：Journal of computational neuroscience

authors： Bush D,Jin Y

更新日期：2012-12-01 00:00:00

abstract：:Calmodulin (CaM) is a major Ca(2+) binding protein involved in two opposing processes of synaptic plasticity of CA1 pyramidal neurons: long-term potentiation (LTP) and depression (LTD). The N- and C-terminal lobes of CaM bind to its target separately but cooperatively and introduce complex dynamics that cannot be well...

journal_title：Journal of computational neuroscience

authors： Byrne MJ,Putkey JA,Waxham MN,Kubota Y

更新日期：2009-12-01 00:00:00

abstract：:We have previously formulated an abstract dynamical system for networks of spiking neurons and derived a formal result that identifies the criterion for its dynamics, without inputs, to be "sensitive to initial conditions". Since formal results are applicable only to the extent to which their assumptions are valid, we...

journal_title：Journal of computational neuroscience

authors： Banerjee A

更新日期：2006-06-01 00:00:00

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

authors： Droste F,Lindner B

更新日期：2017-08-01 00:00:00