Analyzing multiple spike trains with nonparametric Granger causality.

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 study the dynamics and bifurcations of noise-free neurons coupled by gap junctions and inhibitory synapses, using both delayed delta functions and alpha functions to model the latter. We focus on the case of two cells, as in the studies of Chow and Kopell (2000) and Lewis and Rinzel (2003), but also show that stabl...

journal_title：Journal of computational neuroscience

authors： Gao J,Holmes P

更新日期：2007-02-01 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：: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：:Synchronization of excitable cells coupled by reciprocal inhibition is a topic of significant interest due to the important role that inhibitory synaptic interaction plays in the generation and regulation of coherent rhythmic activity in a variety of neural systems. While recent work revealed the synchronizing influen...

journal_title：Journal of computational neuroscience

authors： Oh M,Matveev V

更新日期：2009-04-01 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：:The background activity of a cortical neural network is modeled by a homogeneous integrate-and-fire network with unreliable inhibitory synapses. For the case of fast synapses, numerical and analytical calculations show that the network relaxes into a stationary state of high attention. The majority of the neurons has ...

journal_title：Journal of computational neuroscience

authors： Kinzel W

更新日期：2008-02-01 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：:Information theoretical approaches to sensory processing in electric fish have focused on the encoding of amplitude modulations in a single sensory pathway in the South American gymnotiforms. To assess the generality of these studies, we investigated the encoding of amplitude and phase modulations in the distantly rel...

journal_title：Journal of computational neuroscience

authors： Carlson BA,Kawasaki M

更新日期：2008-08-01 00:00:00

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

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

更新日期：2018-10-01 00:00:00

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

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

更新日期：2018-12-01 00:00:00

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

authors： Siegel M,Körding KP,König P

更新日期：2000-03-01 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：: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

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

更新日期：2014-02-01 00:00:00

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

authors： Herrmann A,Gerstner W

更新日期：2001-09-01 00:00:00

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

authors： Skinner FK,Bazzazi H,Campbell SA

更新日期：2005-06-01 00:00:00

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

authors： Mysin IE,Kitchigina VF,Kazanovich Y

更新日期：2015-08-01 00:00:00

abstract：:Much evidence indicates that recognition memory involves two separable processes, recollection and familiarity discrimination, with familiarity discrimination being dependent on the perirhinal cortex of the temporal lobe. Here, we describe a new neural network model designed to mimic the response patterns of perirhina...

journal_title：Journal of computational neuroscience

authors： Bogacz R,Brown MW,Giraud-Carrier C

更新日期：2001-01-01 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：: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

authors： Devecioğlu İ,Güçlü B

更新日期：2020-08-01 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

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：: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：: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：:The lack of a deeper understanding of how olfactory sensory neurons (OSNs) encode odors has hindered the progress in understanding the olfactory signal processing in higher brain centers. Here we employ methods of system identification to investigate the encoding of time-varying odor stimuli and their representation f...

journal_title：Journal of computational neuroscience

authors： Kim AJ,Lazar AA,Slutskiy YB

更新日期：2011-02-01 00:00:00

abstract：:A Web-based simulation system of the spinal cord circuitry responsible for muscle control is described. The simulator employs two-compartment motoneuron models for S, FR and FF types, with synaptic inputs acting through conductance variations. Four motoneuron pools with their associated interneurons are represented in...

journal_title：Journal of computational neuroscience

authors： Cisi RR,Kohn AF

更新日期：2008-12-01 00:00:00

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

authors： Huyck CR,Vergani AA

更新日期：2020-08-01 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：: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