Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons.

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：: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：: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

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

更新日期：2014-06-01 00:00:00

abstract：:Wider dissemination and testing of computational models are crucial to the field of computational neuroscience. Databases are being developed to meet this need. ModelDB is a web-accessible database for convenient entry, retrieval, and running of published models on different platforms. This article provides a guide to...

journal_title：Journal of computational neuroscience

authors： Hines ML,Morse T,Migliore M,Carnevale NT,Shepherd GM

更新日期：2004-07-01 00:00:00

abstract：:We propose a new retina simulation software, called Virtual Retina, which transforms a video into spike trains. Our goal is twofold: Allow large scale simulations (up to 100,000 neurons) in reasonable processing times and keep a strong biological plausibility, taking into account implementation constraints. The underl...

journal_title：Journal of computational neuroscience

authors： Wohrer A,Kornprobst P

更新日期：2009-04-01 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：: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

authors： Lazar AA,Slutskiy YB

更新日期：2015-02-01 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：: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：:Following a flashed stimulus, I show that a simple neurophysiological mechanism in the primary visual system can generate orientation selectivity based on the first incoming spikes. A biological model of the lateral geniculate nucleus generates an asynchronous wave of spikes, with the most strongly activated neurons f...

journal_title：Journal of computational neuroscience

authors： Delorme A

更新日期：2003-11-01 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：: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 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

authors： Zhao S,Yang G,Wang J,Roppolo JR,de Groat WC,Tai C

更新日期：2014-10-01 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：: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：:Gamma oscillations can synchronize with near zero phase lag over multiple cortical regions and between hemispheres, and between two distal sites in hippocampal slices. How synchronization can take place over long distances in a stable manner is considered an open question. The phase resetting curve (PRC) keeps track o...

journal_title：Journal of computational neuroscience

authors： Woodman MM,Canavier CC

更新日期：2011-10-01 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：: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：: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：:We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particular, how blocking to a previously conditioned stimulus in the presence of the unconditional stimulus, can emerge as a dynamical property of ...

journal_title：Journal of computational neuroscience

authors： Goel P,Gelperin A

更新日期：2006-12-01 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 extraction of the direction of motion from the time varying retinal images is one of the most basic tasks any visual system is confronted with. However, retinal images are severely corrupted by photon noise, in particular at low light levels, thus limiting the performance of motion detection mechanisms of what sor...

journal_title：Journal of computational neuroscience

authors： Shi L,Borst A

更新日期：2006-04-01 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：: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：: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：: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：: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：: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 implications for motor learning of the model developed in the previous article are analyzed using idealized Pavlovian eyelid conditioning trials, a simple example of cerebellar motor learning. Results suggest that changes in gr-->Pkj synapses produced by a training trial disrupt equilibrium and lead to subsequent ...

journal_title：Journal of computational neuroscience

authors： Kenyon GT,Medina JF,Mauk MD

更新日期：1998-03-01 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