The response of a classical Hodgkin-Huxley neuron to an inhibitory input pulse.

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 synchronization by an inhibitory input pulse often fails for populations of classical Hodgkin-Huxley neurons. Our reasoning suggests that in general, synchronization by inhibitory input pulses can fail when the transition of the target neurons from rest to spiking involves a Hopf bifurcation, especially when inhibition is shunting, not hyperpolarizing. Surprisingly, synchronization is more likely to fail when the inhibitory pulse is stronger or longer-lasting. These findings have potential implications for the question which neurons participate in brain rhythms, in particular in gamma oscillations.

journal_name

J Comput Neurosci

authors

Börgers C,Krupa M,Gielen S

doi

10.1007/s10827-010-0233-8

subject

Has Abstract

pub_date

2010-06-01 00:00:00

pages

509-26

issue

3

eissn

0929-5313

issn

1573-6873

journal_volume

28

pub_type

杂志文章
  • A neural mass model based on single cell dynamics to model pathophysiology.

    abstract::Neural mass models are successful in modeling brain rhythms as observed in macroscopic measurements such as the electroencephalogram (EEG). While the synaptic current is explicitly modeled in current models, the single cell electrophysiology is not taken into account. To allow for investigations of the effects of chan...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-014-0517-5

    authors: Zandt BJ,Visser S,van Putten MJ,Ten Haken B

    更新日期:2014-12-01 00:00:00

  • Initiation and propagation of a neuronal intracellular calcium wave.

    abstract::The ability to image calcium movement within individual neurons inspires questions of functionality including whether calcium entry into the nucleus is related to genetic regulation for phenomena such as long term potentiation. Calcium waves have been initiated in hippocampal pyramidal cells with glutmatergic signals ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0082-x

    authors: Peercy BE

    更新日期:2008-10-01 00:00:00

  • Effects of conduction delays on the existence and stability of one to one phase locking between two pulse-coupled oscillators.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0315-2

    authors: Woodman MM,Canavier CC

    更新日期:2011-10-01 00:00:00

  • Comparative power spectral analysis of simultaneous electroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media : EEG and MEG power spectra.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0252-5

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

    更新日期:2010-06-17 00:00:00

  • Modeling synchronous theta activity in the medial septum: key role of local communications between different cell populations.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0564-6

    authors: Mysin IE,Kitchigina VF,Kazanovich Y

    更新日期:2015-08-01 00:00:00

  • Lyapunov exponents computation for hybrid neurons.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0448-6

    authors: Bizzarri F,Brambilla A,Gajani GS

    更新日期:2013-10-01 00:00:00

  • Evolution and analysis of model CPGs for walking: I. Dynamical modules.

    abstract::Can one develop an abstract description of the dynamics of pattern generators that provides quantitative insight into their operation? We explored this question by examining the dynamics of a model central pattern generator that was created using an evolutionary algorithm. We propose an abstract description based on t...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008923704408

    authors: Chiel HJ,Beer RD,Gallagher JC

    更新日期:1999-09-01 00:00:00

  • Integrating top-down and bottom-up sensory processing by somato-dendritic interactions.

    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

    pub_type: 杂志文章

    doi:10.1023/a:1008973215925

    authors: Siegel M,Körding KP,König P

    更新日期:2000-03-01 00:00:00

  • Independent component analysis of temporal sequences subject to constraints by lateral geniculate nucleus inputs yields all the three major cell types of the primary visual cortex.

    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

    pub_type: 杂志文章

    doi:10.1023/a:1013723131070

    authors: Szatmáry B,Lorincz A

    更新日期:2001-11-01 00:00:00

  • Reduced order models of myelinated axonal compartments.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00726-4

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

    更新日期:2019-12-01 00:00:00

  • A neuronal network model of primary visual cortex explains spatial frequency selectivity.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0110-x

    authors: Zhu W,Shelley M,Shapley R

    更新日期:2009-04-01 00:00:00

  • Spectral analysis of event-related hemodynamic responses in functional near infrared spectroscopy.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-005-5478-2

    authors: Akgül CB,Sankur B,Akin A

    更新日期:2005-01-01 00:00:00

  • The impact of internodal segmentation in biophysical nerve fiber models.

    abstract::Implementation of double cable models to simulate the behavior of myelinated peripheral nerve fibers requires defining a segmentation of the internode between successive nodes of Ranvier. The number of internodal segments is a model parameter that is not well agreed on, with values in the literature ranging from 1 to ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-014-0503-y

    authors: Dekker DM,Briaire JJ,Frijns JH

    更新日期:2014-10-01 00:00:00

  • Dissecting cooperative calmodulin binding to CaM kinase II: a detailed stochastic model.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-009-0173-3

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

    更新日期:2009-12-01 00:00:00

  • Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0649-5

    authors: Droste F,Lindner B

    更新日期:2017-08-01 00:00:00

  • Propagation of photon noise and information transfer in visual motion detection.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-005-5906-3

    authors: Shi L,Borst A

    更新日期:2006-04-01 00:00:00

  • Reliability of signal transmission in stochastic nerve axon equations.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0586-0

    authors: Sauer M,Stannat W

    更新日期:2016-02-01 00:00:00

  • Differential control of active and silent phases in relaxation models of neuronal rhythms.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-006-8862-7

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

    更新日期:2006-12-01 00:00:00

  • Testing for significance of phase synchronisation dynamics in the EEG.

    abstract::A number of tests exist to check for statistical significance of phase synchronisation within the Electroencephalogram (EEG); however, the majority suffer from a lack of generality and applicability. They may also fail to account for temporal dynamics in the phase synchronisation, regarding synchronisation as a consta...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-012-0428-2

    authors: Daly I,Sweeney-Reed CM,Nasuto SJ

    更新日期:2013-06-01 00:00:00

  • Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00710-y

    authors: Bel A,Rotstein HG

    更新日期:2019-04-01 00:00:00

  • Virtual Retina: a biological retina model and simulator, with contrast gain control.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0108-4

    authors: Wohrer A,Kornprobst P

    更新日期:2009-04-01 00:00:00

  • Improved dimensionally-reduced visual cortical network using stochastic noise modeling.

    abstract::In this paper, we extend our framework for constructing low-dimensional dynamical system models of large-scale neuronal networks of mammalian primary visual cortex. Our dimensional reduction procedure consists of performing a suitable linear change of variables and then systematically truncating the new set of equatio...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0359-3

    authors: Tao L,Praissman J,Sornborger AT

    更新日期:2012-04-01 00:00:00

  • Modelling acute and lasting effects of tDCS on epileptic activity.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00745-6

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

    更新日期:2020-05-01 00:00:00

  • Compensating for synaptic loss in Alzheimer's disease.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0462-8

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

    更新日期:2014-02-01 00:00:00

  • Neural mass models as a tool to investigate neural dynamics during seizures.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0636-x

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

    更新日期:2017-04-01 00:00:00

  • Slowdown of BCM plasticity with many synapses.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00715-7

    authors: Froc M,van Rossum MCW

    更新日期:2019-04-01 00:00:00

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

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0668-2

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

    更新日期:2018-02-01 00:00:00

  • Phase precession through acceleration of local theta rhythm: a biophysical model for the interaction between place cells and local inhibitory neurons.

    abstract::Phase precession is one of the most well known examples within the temporal coding hypothesis. Here we present a biophysical spiking model for phase precession in hippocampal CA1 which focuses on the interaction between place cells and local inhibitory interneurons. The model's functional block is composed of a place ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0378-0

    authors: Castro L,Aguiar P

    更新日期:2012-08-01 00:00:00

  • On the stationary state of a network of inhibitory spiking neurons.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-007-0049-3

    authors: Kinzel W

    更新日期:2008-02-01 00:00:00

  • Representation of visual space in area 7a neurons using the center of mass equation.

    abstract::The firing rate of neurons in parietal area 7a of the behaving Rhesus monkey with its head fixed incorporates both visual and eye position information. This neural tuning is not in an ego-centered coordinate space. This physiological result was unexpected as behavioral deficits following parietal damage in human and m...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008844027878

    authors: Siegel RM

    更新日期:1998-12-01 00:00:00