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 of how much an input advances or delays the next spike, depending upon where in the cycle it is received. We use PRCs under the assumption of pulsatile coupling to derive existence and stability criteria for 1:1 phase-locking that arises via bidirectional pulse coupling of two limit cycle oscillators with a conduction delay of any duration for any 1:1 firing pattern. The coupling can be strong as long as the effect of one input dissipates before the next input is received. We show the form that the generic synchronous and anti-phase solutions take in a system of two identical, identically pulse-coupled oscillators with identical delays. The stability criterion has a simple form that depends only on the slopes of the PRCs at the phases at which inputs are received and on the number of cycles required to complete the delayed feedback loop. The number of cycles required to complete the delayed feedback loop depends upon both the value of the delay and the firing pattern. We successfully tested the predictions of our methods on networks of model neurons. The criteria can easily be extended to include the effect of an input on the cycle after the one in which it is received.

journal_name

J Comput Neurosci

authors

Woodman MM,Canavier CC

doi

10.1007/s10827-011-0315-2

subject

Has Abstract

pub_date

2011-10-01 00:00:00

pages

401-18

issue

2

eissn

0929-5313

issn

1573-6873

journal_volume

31

pub_type

杂志文章
  • The autapse: a simple illustration of short-term analog memory storage by tuned synaptic feedback.

    abstract::According to a popular hypothesis, short-term memories are stored as persistent neural activity maintained by synaptic feedback loops. This hypothesis has been formulated mathematically in a number of recurrent network models. Here we study an abstraction of these models, a single neuron with a synapse onto itself, or...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008971908649

    authors: Seung HS,Lee DD,Reis BY,Tank DW

    更新日期:2000-09-01 00:00:00

  • Encoding the fine-structured mechanism of action potential dynamics with qualitative motifs.

    abstract::This work presents a neuroinformatic method for deriving mechanistic descriptions of fine-structured neural activity. This is a new development in the computer-assisted analysis of dynamics in conductance-based models, which is illustrated using single compartment models of an action potential. A sequence of abstract,...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0267-y

    authors: Clewley R

    更新日期:2011-04-01 00:00:00

  • Modeling grid fields instead of modeling grid cells : An effective model at the macroscopic level and its relationship with the underlying microscopic neural system.

    abstract::A neuron's firing correlates are defined as the features of the external world to which its activity is correlated. In many parts of the brain, neurons have quite simple such firing correlates. A striking example are grid cells in the rodent medial entorhinal cortex: their activity correlates with the animal's positio...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00722-8

    authors: Rosay S,Weber S,Mulas M

    更新日期:2019-08-01 00:00:00

  • Dendritic Ih selectively blocks temporal summation of unsynchronized distal inputs in CA1 pyramidal neurons.

    abstract::The active dendritic conductances shape the input-output properties of many principal neurons in different brain regions, and the various ways in which they regulate neuronal excitability need to be investigated to better understand their functional consequences. Using a realistic model of a hippocampal CA1 pyramidal ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/b:jcns.0000004837.81595.b0

    authors: Migliore M,Messineo L,Ferrante M

    更新日期:2004-01-01 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

  • Encoding whisker deflection velocity within the rodent barrel cortex using phase-delayed inhibition.

    abstract::The primary sensory feature represented within the rodent barrel cortex is the velocity with which a whisker has been deflected. Whisker deflection velocity is encoded within the thalamus via population synchrony (higher deflection velocities entail greater synchrony among the corresponding thalamic population). Thala...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-014-0535-3

    authors: Liu R,Patel M,Joshi B

    更新日期:2014-12-01 00:00:00

  • From global to local: exploring the relationship between parameters and behaviors in models of electrical excitability.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-016-0600-1

    authors: Fletcher P,Bertram R,Tabak J

    更新日期:2016-06-01 00:00:00

  • Dynamics of a neuron-glia system: the occurrence of seizures and the influence of electroconvulsive stimuli : A mathematical and numerical study.

    abstract::In this paper, we investigate the dynamics of a neuron-glia cell system and the underlying mechanism for the occurrence of seizures. For our mathematical and numerical investigation of the cell model we will use bifurcation analysis and some computational methods. It turns out that an increase of the potassium concent...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00746-5

    authors: Erhardt AH,Mardal KA,Schreiner JE

    更新日期:2020-05-01 00:00:00

  • Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC.

    abstract::Avian brain area HVC is known to be important for the production of birdsong. In zebra finches, each RA-projecting neuron in HVC emits a single burst of spikes during a song motif. The population of neurons is activated in a precisely timed, stereotyped sequence. We propose a model of these burst sequences that relies...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-007-0032-z

    authors: Jin DZ,Ramazanoğlu FM,Seung HS

    更新日期:2007-12-01 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • A common goodness-of-fit framework for neural population models using marked point process time-rescaling.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-018-0698-4

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

    更新日期:2018-10-01 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

  • A minimum-error, energy-constrained neural code is an instantaneous-rate code.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-016-0592-x

    authors: Johnson EC,Jones DL,Ratnam R

    更新日期:2016-04-01 00:00:00

  • Parameter estimation methods for single neuron models.

    abstract::With the advancement in computer technology, it has become possible to fit complex models to neuronal data. In this work, we test how two methods can estimate parameters of simple neuron models (passive soma) to more complex ones (neuron with one dendritic cylinder and two active conductances). The first method uses c...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1026531603628

    authors: Tabak J,Murphey CR,Moore LE

    更新日期:2000-11-01 00:00:00

  • Open loop optogenetic control of simulated cortical epileptiform activity.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0484-2

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

    更新日期:2014-06-01 00:00:00

  • Firing-rate models capture essential response dynamics of LGN relay cells.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0456-6

    authors: Heiberg T,Kriener B,Tetzlaff T,Casti A,Einevoll GT,Plesser HE

    更新日期:2013-12-01 00:00:00

  • A probabilistic method for determining cortical dynamics during seizures.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0554-8

    authors: Dadok VM,Kirsch HE,Sleigh JW,Lopour BA,Szeri AJ

    更新日期:2015-06-01 00:00:00

  • Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron.

    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

    pub_type: 杂志文章

    doi:10.1023/a:1012841516004

    authors: Herrmann A,Gerstner W

    更新日期:2001-09-01 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 mystery of structure and function of sensory processing areas of the neocortex: a resolution.

    abstract::Many different neural models have been proposed to account for major characteristics of the memory phenomenon family in primates. However, in spite of the large body of neurophysiological, anatomical and behavioral data, there is no direct evidence for supporting one model while falsifying the others. And yet, we can ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1020262214821

    authors: Lorincz A,Szatmáry B,Szirtes G

    更新日期:2002-11-01 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

  • 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

  • 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