A temporal mechanism for generating the phase precession of hippocampal place cells.

Abstract:

:The phase relationship between the activity of hippocampal place cells and the hippocampal theta rhythm systematically processes as the animal runs through the region in an environment called the place field of the cell. We present a minimal biophysical model of the phase precession of place cells in region CA3 of the hippocampus. The model describes the dynamics of two coupled point neurons--namely, a pyramidal cell and an interneuron, the latter of which is driven by a pacemaker input. Outside of the place field, the network displays a stable, background firing pattern that is locked to the theta rhythm. The pacemaker input drives the interneuron, which in turn activates the pyramidal cell. A single stimulus to the pyramidal cell from the dentate gyrus, simulating entrance into the place field, reorganizes the functional roles of the cells in the network for a number of cycles of the theta rhythm. In the reorganized network, the pyramidal cell drives the interneuron at a higher frequency than the theta frequency, thus causing a systematic precession relative to the theta input. The frequency of the pyramidal cell can vary to account for changes in the animal's running speed. The transient dynamics end after up to 360 degrees of phase precession when the pacemaker input to the interneuron occurs at a phase to return the network to the stable background firing pattern, thus signaling the end of the place field. Our model, in contrast to others, reports that phase precession is a temporally, and not spatially, controlled process. We also predict that like pyramidal cells, interneurons phase precess. Our model provides a mechanism for shutting off place cell firing after the animal has crossed the place field, and it explains the observed nearly 360 degrees of phase precession. We also describe how this model is consistent with a proposed autoassociative memory role of the CA3 region.

journal_name

J Comput Neurosci

authors

Bose A,Booth V,Recce M

doi

10.1023/a:1008976210366

subject

Has Abstract

pub_date

2000-07-01 00:00:00

pages

5-30

issue

1

eissn

0929-5313

issn

1573-6873

journal_volume

9

pub_type

杂志文章
  • 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

  • Motor pattern selection by combinatorial code of interneuronal pathways.

    abstract::We use a modeling approach to examine ideas derived from physiological network analyses, pertaining to the switch of a motor control network between two opposite control modes. We studied the femur-tibia joint control system of the insect leg, and its switch between resistance reflex in posture control and "active rea...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0093-7

    authors: Stein W,Straub O,Ausborn J,Mader W,Wolf H

    更新日期:2008-12-01 00:00:00

  • Calcium control of triphasic hippocampal STDP.

    abstract::Synaptic plasticity is believed to represent the neural correlate of mammalian learning and memory function. It has been demonstrated that changes in synaptic conductance can be induced by approximately synchronous pairings of pre- and post- synaptic action potentials delivered at low frequencies. It has also been est...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-012-0397-5

    authors: Bush D,Jin Y

    更新日期:2012-12-01 00:00:00

  • Models of calmodulin trapping and CaM kinase II activation in a dendritic spine.

    abstract::Activation of calcium/calmodulin-dependent protein kinase II (CaMKII) by calmodulin following calcium entry into the cell is important for long-term potentiation (LTP). Here a model of calmodulin binding and trapping by CaMKII in a dendritic spine was used to estimate levels and durations of CaMKII activation followin...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008969032563

    authors: Holmes WR

    更新日期:2000-01-01 00:00:00

  • Disrupted cholinergic modulation can underlie abnormal gamma rhythms in schizophrenia and auditory hallucination.

    abstract::The pathophysiology of auditory hallucination, a common symptom of schizophrenia, has yet been understood, but during auditory hallucination, primary auditory cortex (A1) shows paradoxical responses. When auditory stimuli are absent, A1 becomes hyperactive, while A1 responses to auditory stimuli are reduced. Such acti...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0666-4

    authors: Lee JH

    更新日期:2017-12-01 00:00:00

  • On the dynamics of electrically-coupled neurons with inhibitory synapses.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-006-9676-3

    authors: Gao J,Holmes P

    更新日期:2007-02-01 00:00:00

  • Simulation system of spinal cord motor nuclei and associated nerves and muscles, in a Web-based architecture.

    abstract::A Web-based simulation system of the spinal cord circuitry responsible for muscle control is described. The simulator employs two-compartment motoneuron models for S, FR and FF types, with synaptic inputs acting through conductance variations. Four motoneuron pools with their associated interneurons are represented in...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0092-8

    authors: Cisi RR,Kohn AF

    更新日期:2008-12-01 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

  • 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

  • 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

  • Statistical-mechanical measure of stochastic spiking coherence in a population of inhibitory subthreshold neurons.

    abstract::By varying the noise intensity, we study stochastic spiking coherence (i.e., collective coherence between noise-induced neural spikings) in an inhibitory population of subthreshold neurons (which cannot fire spontaneously without noise). This stochastic spiking coherence may be well visualized in the raster plot of ne...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0330-3

    authors: Lim W,Kim SY

    更新日期:2011-11-01 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

  • The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0463-7

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

    更新日期:2014-04-01 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

  • Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents.

    abstract::Many neuron types exhibit preferred frequency responses in their voltage amplitude (resonance) or phase shift to subthreshold oscillatory currents, but the effect of biophysical parameters on these properties is not well understood. We propose a general framework to analyze the role of different ionic currents and the...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0483-3

    authors: Rotstein HG,Nadim F

    更新日期:2014-08-01 00:00:00

  • Macaque monkeys show reversed ocular following responses to two-frame-motion stimulus presented with inter-stimulus intervals.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00756-3

    authors: Takemura A,Matsumoto J,Hashimoto R,Kawano K,Miura K

    更新日期:2020-07-17 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

  • Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons.

    abstract::Neuronal responses are often characterized by the firing rate as a function of the stimulus mean, or the f-I curve. We introduce a novel classification of neurons into Types A, B-, and B+ according to how f-I curves are modulated by input fluctuations. In Type A neurons, the f-I curves display little sensitivity to in...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-009-0142-x

    authors: Lundstrom BN,Famulare M,Sorensen LB,Spain WJ,Fairhall AL

    更新日期:2009-10-01 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

  • Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model.

    abstract::Many mechanisms of neural processing rely critically upon the synaptic connectivity between neurons. As our ability to simultaneously record from large populations of neurons expands, the ability to infer network connectivity from this data has become a major goal of computational neuroscience. To address this issue, ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0443-y

    authors: Kobayashi R,Kitano K

    更新日期:2013-08-01 00:00:00

  • ModelDB: A Database to Support Computational Neuroscience.

    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

    pub_type: 杂志文章

    doi:10.1023/B:JCNS.0000023869.22017.2e

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

    更新日期:2004-07-01 00:00:00

  • A neuronal network for the logic of Limax learning.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-006-8097-7

    authors: Goel P,Gelperin A

    更新日期:2006-12-01 00:00:00

  • Flexibility and repeatability of finger movements during typing: analysis of multiple degrees of freedom.

    abstract::The kinematics of the hand and fingers were studied during various keystrokes in typing. These movements were defined by 17 degrees of freedom of motion, and methods were developed to identify simplifying strategies in the execution of the task. Most of the analysis was restricted to the 11 degrees of freedom of the f...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008812426305

    authors: Soechting JF,Flanders M

    更新日期:1997-01-01 00:00:00

  • Summation of spatiotemporal input patterns in leaky integrate-and-fire neurons: application to neurons in the cochlear nucleus receiving converging auditory nerve fiber input.

    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

    pub_type: 杂志文章

    doi:10.1023/a:1014994113776

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

    更新日期:2002-01-01 00:00:00

  • Role of hyperpolarization-activated conductances in the lateral superior olive: a modeling study.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-005-5637-5

    authors: Szalisznyó K

    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

  • The effect of neural adaptation on population coding accuracy.

    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

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0358-4

    authors: Cortes JM,Marinazzo D,Series P,Oram MW,Sejnowski TJ,van Rossum MC

    更新日期:2012-06-01 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

  • 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

  • Early cortical orientation selectivity: how fast inhibition decodes the order of spike latencies.

    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

    pub_type: 杂志文章

    doi:10.1023/a:1027420012134

    authors: Delorme A

    更新日期:2003-11-01 00:00:00