A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems.

abstract：:In the compensatory optomotor response of the fly the interesting phenomenon of gain control has been observed by Reichardt and colleagues (Reichardt et al., 1983): The amplitude of the response tends to saturate with increasing stimulus size, but different saturation plateaus are assumed with different velocities at ...

journal_title：Journal of computational neuroscience

authors： Borst A,Egelhaaf M,Haag J

更新日期：1995-03-01 00:00:00

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

authors： Lim W,Kim SY

更新日期：2011-11-01 00:00:00

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

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

更新日期：2009-02-01 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：:We address how spatial frequency selectivity arises in Macaque primary visual cortex (V1) by simulating V1 with a large-scale network model consisting of O(10(4)) excitatory and inhibitory integrate-and-fire neurons with realistic synaptic conductances. The new model introduces variability of the widths of subregions ...

journal_title：Journal of computational neuroscience

authors： Zhu W,Shelley M,Shapley R

更新日期：2009-04-01 00:00:00

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

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

更新日期：2018-02-01 00:00:00

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

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

更新日期：2020-07-17 00:00:00

abstract：:The voltage-gated currents in the fly lobula plate tangential cells were examined using the switched electrode voltage clamp technique. In CH cells, two currents were identified (Figs. 1, 2): a slow calcium inward current and a delayed rectifying, noninactivating potassium outward current. HS and VS cells appear to po...

journal_title：Journal of computational neuroscience

authors： Haag J,Theunissen F,Borst A

更新日期：1997-11-01 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：: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

authors： Guo D,Li C

更新日期：2011-06-01 00:00:00

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 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

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

更新日期：2012-08-01 00:00:00

abstract：:We use a modeling approach to examine ideas derived from physiological network analyses, pertaining to the switch of a motor control network between two opposite control modes. We studied the femur-tibia joint control system of the insect leg, and its switch between resistance reflex in posture control and "active rea...

journal_title：Journal of computational neuroscience

authors： Stein W,Straub O,Ausborn J,Mader W,Wolf H

更新日期：2008-12-01 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：: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

authors： Johnson EC,Jones DL,Ratnam R

更新日期：2016-04-01 00:00:00

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

authors： Sauer M,Stannat W

更新日期：2016-02-01 00:00:00

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

authors： Lim S,Rinzel J

更新日期：2010-02-01 00:00:00

abstract：:Information maximization has long been suggested as the underlying coding strategy of the primary visual cortex (V1). Grouping image sequences into blocks has been shown by others to improve agreement between experiments and theory. We have studied the effect of temporal convolution on the formation of spatiotemporal ...

journal_title：Journal of computational neuroscience

authors： Szatmáry B,Lorincz A

更新日期：2001-11-01 00:00:00

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

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

更新日期：2020-05-01 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：: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

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

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：: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

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

更新日期：2017-04-01 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：: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：: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

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

更新日期：2020-02-01 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：: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

authors： Boucheny C,Brunel N,Arleo A

更新日期：2005-03-01 00:00:00

abstract：:We developed a physiologically plausible model of the first steps of spatial visual information processing in the fovea of the human retina. With the predictions of this model we could support the hypothesis that, for moderate contracts (< or = 40%), hyperacuity is mediated by the magnocellular (MC-) pathway. Despite ...

journal_title：Journal of computational neuroscience

authors： Wachtler T,Wehrhahn C,Lee BB

更新日期：1996-03-01 00:00:00

abstract：:The phase relationship between the activity of hippocampal place cells and the hippocampal theta rhythm systematically processes as the animal runs through the region in an environment called the place field of the cell. We present a minimal biophysical model of the phase precession of place cells in region CA3 of the...

journal_title：Journal of computational neuroscience

authors： Bose A,Booth V,Recce M

更新日期：2000-07-01 00:00:00