Motor pattern selection by combinatorial code of interneuronal pathways.

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：: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

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

更新日期：2014-04-01 00:00:00

abstract：:In the mammalian retina, complementary ON and OFF visual streams are formed at the bipolar cell dendrites, then carried to amacrine and ganglion cells via nonlinear excitatory synapses from bipolar cells. Bipolar, amacrine and ganglion cells also receive a nonlinear inhibitory input from amacrine cells. The most commo...

journal_title：Journal of computational neuroscience

authors： Molnar A,Hsueh HA,Roska B,Werblin FS

更新日期：2009-12-01 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：:A population of uncoupled neurons can often be brought close to synchrony by a single strong inhibitory input pulse affecting all neurons equally. This mechanism is thought to underlie some brain rhythms, in particular gamma frequency (30-80 Hz) oscillations in the hippocampus and neocortex. Here we show that synchron...

journal_title：Journal of computational neuroscience

authors： Börgers C,Krupa M,Gielen S

更新日期：2010-06-01 00:00:00

abstract：:The response of leaky integrate-and-fire neurons is analyzed for periodic inputs whose phases vary with their spatial location. The model gives the relationship between the spatial summation distance and the degree of phase locking of the output spikes (i.e., locking to the periodic stochastic inputs, measured by the ...

journal_title：Journal of computational neuroscience

authors： Kuhlmann L,Burkitt AN,Paolini A,Clark GM

更新日期：2002-01-01 00:00:00

abstract：:This modeling study examines the possible functional roles of two hyperpolarization-activated conductances in lateral superior olive (LSO) principal neurons. Inputs of these LSO neurons are transformed into an output, which provides a firing-rate code for a certain interaural sound intensity difference (IID) range. Re...

journal_title：Journal of computational neuroscience

authors： Szalisznyó K

更新日期：2006-04-01 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：: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：: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

authors： Houben AM,Keil MS

更新日期：2020-02-01 00:00:00

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 computation...

journal_title：Journal of computational neuroscience

authors： Sánchez E,Barro S,Mariño J,Canedo A

更新日期：2006-08-01 00:00:00

abstract：:We have presented a new generation mechanism of slow spiking or repetitive discharges with extraordinarily long inter-spike intervals using the modified Hodgkin-Huxley equations (Doi and Kumagai, 2001). This generation process of slow firing is completely different from that of the well-known potassium A-current in th...

journal_title：Journal of computational neuroscience

authors： Doi S,Kumagai S

更新日期：2005-12-01 00:00:00

abstract：:We developed a multicompartmental Hodgkin-Huxley model of the Hermissenda type-B photoreceptor and used it to address the relative contributions of reductions of two K+ currents, IA and IC, to changes in cellular excitability and synaptic strength that occur in these cells after associative learning. We found that red...

journal_title：Journal of computational neuroscience

authors： Fost JW,Clark GA

更新日期：1996-06-01 00:00:00

abstract：:The precise mapping of how complex patterns of synaptic inputs are integrated into specific patterns of spiking output is an essential step in the characterization of the cellular basis of network dynamics and function. Relative to other principal neurons of the hippocampus, the electrophysiology of CA1 pyramidal cell...

journal_title：Journal of computational neuroscience

authors： Li X,Ascoli GA

更新日期：2006-10-01 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：: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：: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

authors： Donohue DE,Ascoli GA

更新日期：2005-10-01 00:00:00

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

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

更新日期：2019-12-01 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：: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

authors： Froc M,van Rossum MCW

更新日期：2019-04-01 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：: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 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

authors： Chen CW,Ju MS,Sun YN,Lin CC

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：: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：: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：: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：: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 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