Oscillations in large-scale cortical networks: map-based model.

Abstract:

:We develop a new computationally efficient approach for the analysis of complex large-scale neurobiological networks. Its key element is the use of a new phenomenological model of a neuron capable of replicating important spike pattern characteristics and designed in the form of a system of difference equations (a map). We developed a set of map-based models that replicate spiking activity of cortical fast spiking, regular spiking and intrinsically bursting neurons. Interconnected with synaptic currents these model neurons demonstrated responses very similar to those found with Hodgkin-Huxley models and in experiments. We illustrate the efficacy of this approach in simulations of one- and two-dimensional cortical network models consisting of regular spiking neurons and fast spiking interneurons to model sleep and activated states of the thalamocortical system. Our study suggests that map-based models can be widely used for large-scale simulations and that such models are especially useful for tasks where the modeling of specific firing patterns of different cell classes is important.

journal_name

J Comput Neurosci

authors

Rulkov NF,Timofeev I,Bazhenov M

doi

10.1023/B:JCNS.0000037683.55688.7e

subject

Has Abstract

pub_date

2004-09-01 00:00:00

pages

203-23

issue

2

eissn

0929-5313

issn

1573-6873

pii

5277072

journal_volume

17

pub_type

杂志文章
  • Mechanisms of dendritic integration underlying gain control in fly motion-sensitive interneurons.

    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

    pub_type: 杂志文章

    doi:10.1007/BF00962705

    authors: Borst A,Egelhaaf M,Haag J

    更新日期:1995-03-01 00:00:00

  • Silicon synaptic conductances.

    abstract::We have developed compact analog integrated circuits that simulate two synaptic excitatory conductances. A four-transistor circuit captures the dynamics of an excitatory postsynaptic current caused by a real AMPA conductance. A six-transistor circuit simulates the effects of a real voltage-dependent NMDA conductance. ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008963426194

    authors: Rasche C,Douglas RJ

    更新日期:1999-07-01 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

  • Distributed processing on the basis of parallel and antagonistic pathways simulation of the femur-tibia control system in the stick insect.

    abstract::In inactive stick insects, sensory information from the femoral chordotonal organ (fCO) about position and movement of the femur-tibia joint is transferred via local nonspiking interneurons onto extensor and flexor tibiae motoneurons. Information is processed by the interaction of antagonistic parallel pathways at two...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/BF00161131

    authors: Sauer AE,Driesang RB,Büschges A,Bässler U

    更新日期:1996-09-01 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

  • Parallel linear dynamic models can mimic the McGurk effect in clinical populations.

    abstract::One of the most common examples of audiovisual speech integration is the McGurk effect. As an example, an auditory syllable /ba/ recorded over incongruent lip movements that produce "ga" typically causes listeners to hear "da". This report hypothesizes reasons why certain clinical and listeners who are hard of hearing...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-016-0610-z

    authors: Altieri N,Yang CT

    更新日期:2016-10-01 00:00:00

  • Cortical modulation of dorsal column nuclei: a computational study.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-006-7058-5

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

    更新日期:2006-08-01 00:00:00

  • Two-cell to N-cell heterogeneous, inhibitory networks: precise linking of multistable and coherent properties.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-005-0331-1

    authors: Skinner FK,Bazzazi H,Campbell SA

    更新日期:2005-06-01 00:00:00

  • Quantitative estimate of the information relayed by the Schaffer collaterals.

    abstract::Within the theory that describes the hippocampus as a device for the on-line storage of complex memories, the crucial autoassociative operations are ascribed mainly to the recurrent CA3 network. The CA3-to-CA1 connections may still be important, both in completing information retrieval and in re-expanding, with minima...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/BF00961437

    authors: Treves A

    更新日期:1995-09-01 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

  • A calcium-influx-dependent plasticity model exhibiting multiple STDP curves.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00737-1

    authors: Houben AM,Keil MS

    更新日期:2020-02-01 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

  • 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

  • Visual responses of crayfish ocular motoneurons: an information theoretical analysis.

    abstract::Motoneuron responses were elicited by global visual motion and stepwise displacements of an illuminated stripe. Stimulus protocols were identical to those used in previous behavioral studies of compensatory eyestalk reflexes. The firing rates and directional selectivity of the motoneuron responses were measured with r...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1025873027017

    authors: Miller CS,Johnson DH,Schroeter JP,Myint L,Glantz RM

    更新日期:2003-09-01 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

  • Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00758-1

    authors: Huyck CR,Vergani AA

    更新日期:2020-08-01 00:00:00

  • An improved parameter estimation method for Hodgkin-Huxley models.

    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

    pub_type: 杂志文章

    doi:10.1023/a:1008880518515

    authors: Willms AR,Baro DJ,Harris-Warrick RM,Guckenheimer J

    更新日期:1999-03-01 00:00:00

  • Effects of mean firing on neural information rate.

    abstract::We investigated the effect of mean firing on the information rate of a spiking motion-sensitive neuron in the fly (H1-cell). In the control condition, the cell was stimulated repeatedly by identical zero-symmetrical white-noise motion. The mean firing rate was manipulated by adding a constant velocity offset either in...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1011225232120

    authors: Borst A,Haag J

    更新日期:2001-03-01 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

  • 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

  • Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.

    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

    pub_type: 杂志文章,评审

    doi:10.1007/s10827-016-0623-7

    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

  • Spatiotemporal model of tripartite synapse with perinodal astrocytic process.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00734-4

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

    更新日期:2020-02-01 00:00:00

  • Signal propagation in feedforward neuronal networks with unreliable synapses.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0279-7

    authors: Guo D,Li C

    更新日期:2011-06-01 00:00:00

  • A simple model of human foveal ganglion cell responses to hyperacuity stimuli.

    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

    pub_type: 杂志文章

    doi:10.1007/BF00158338

    authors: Wachtler T,Wehrhahn C,Lee BB

    更新日期:1996-03-01 00:00:00

  • Computational simulation of the input-output relationship in hippocampal pyramidal cells.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-006-8797-z

    authors: Li X,Ascoli GA

    更新日期:2006-10-01 00:00:00

  • Relating reflex gain modulation in posture control to underlying neural network properties using a neuromusculoskeletal model.

    abstract::During posture control, reflexive feedback allows humans to efficiently compensate for unpredictable mechanical disturbances. Although reflexes are involuntary, humans can adapt their reflexive settings to the characteristics of the disturbances. Reflex modulation is commonly studied by determining reflex gains: a set...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0278-8

    authors: Schuurmans J,van der Helm FC,Schouten AC

    更新日期:2011-06-01 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

  • 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

  • From stimulus estimation to combination sensitivity: encoding and processing of amplitude and timing information in parallel, convergent sensory pathways.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-007-0062-6

    authors: Carlson BA,Kawasaki M

    更新日期:2008-08-01 00:00:00

  • New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0663-7

    authors: Komarov M,Krishnan G,Chauvette S,Rulkov N,Timofeev I,Bazhenov M

    更新日期:2018-02-01 00:00:00