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 MSDB also contains projection cholinergic, glutamatergic, and non-projection GABAergic neurons. These cell populations innervate each other and also GABAergic projection neurons and participate in the formation of the synchronous rhythmic output to the hippocampus. The purpose of this study is to work out a model of interactions between all neural populations of the MSDB that underlie the formation of the synchronous septal theta signal. The model is built from biologically plausible neurons of the Hodgkin-Huxley type and its architecture reflects modern data on the morphology of neural connections in the MSDB. The model satisfies the following requirements: (1) a large portion of neurons is fast-spiking; (2) the subpopulations of GABAergic projection neurons contain endogenous pacemaker neurons; (3) the phase shift of activity between subpopulations of GABAergic projection neurons is equal to about 150°; and (4) the strengths of bidirectional connections between the subpopulations of GABAergic projection cells are different. It is shown that the theta rhythm generation can be performed by a system of glutamatergic and GABAergic non-projection neurons. We also show that bursting pacemaker neurons in the subpopulation of projection GABAergic neurons play a significant role in the formation of stable antiphase outputs from the MSDB to the hippocampus.

journal_name

J Comput Neurosci

authors

Mysin IE,Kitchigina VF,Kazanovich Y

doi

10.1007/s10827-015-0564-6

subject

Has Abstract

pub_date

2015-08-01 00:00:00

pages

1-16

issue

1

eissn

0929-5313

issn

1573-6873

journal_volume

39

pub_type

杂志文章
  • No parallel fiber volleys in the cerebellar cortex: evidence from cross-correlation analysis between Purkinje cells in a computer model and in recordings from anesthetized rats.

    abstract::Purkinje cells aligned on the medio-lateral axis share a large proportion of their approximately 175,000 parallel fiber inputs. This arrangement has led to the hypothesis that movement timing is coded in the cerebellum by beams of synchronously active parallel fibers. In computer simulations I show that such synchrono...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1023217111784

    authors: Jaeger D

    更新日期:2003-05-01 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

  • 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

  • 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

  • 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

  • Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail.

    abstract::Replicability and reproducibility of computational models has been somewhat understudied by "the replication movement." In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and m...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-018-0702-z

    authors: Miłkowski M,Hensel WM,Hohol M

    更新日期:2018-12-01 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

  • 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

  • A mathematical model of the cerebellar-olivary system II: motor adaptation through systematic disruption of climbing fiber equilibrium.

    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

    pub_type: 杂志文章

    doi:10.1023/a:1008830427738

    authors: Kenyon GT,Medina JF,Mauk MD

    更新日期:1998-03-01 00:00:00

  • Analyzing multiple spike trains with nonparametric Granger causality.

    abstract::Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Understanding the interaction patterns among these spike trains remains a key research area. A question of interest is the evaluation of information flow between neurons through the analysis of whether one spike train exerts...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0126-2

    authors: Nedungadi AG,Rangarajan G,Jain N,Ding M

    更新日期:2009-08-01 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

  • 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

  • Modeling the influence of optic flow on grid cell firing in the absence of other cues1.

    abstract::Information from the vestibular, sensorimotor, or visual systems can affect the firing of grid cells recorded in entorhinal cortex of rats. Optic flow provides information about the rat's linear and rotational velocity and, thus, could influence the firing pattern of grid cells. To investigate this possible link, we m...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-012-0396-6

    authors: Raudies F,Mingolla E,Hasselmo ME

    更新日期:2012-12-01 00:00:00

  • Using extracellular action potential recordings to constrain compartmental models.

    abstract::We investigate the use of extracellular action potential (EAP) recordings for biophysically faithful compartmental models. We ask whether constraining a model to fit the EAP is superior to matching the intracellular action potential (IAP). In agreement with previous studies, we find that the IAP method under-constrain...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-006-0018-2

    authors: Gold C,Henze DA,Koch C

    更新日期:2007-08-01 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli.

    abstract::The response of neurons to external stimuli greatly depends on the intrinsic dynamics of the network. Here, the intrinsic dynamics are modeled as coupling and the external input is modeled as shared and unshared noise. We assume the neurons are repetitively firing action potentials (i.e., neural oscillators), are weak...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0120-8

    authors: Ly C,Ermentrout GB

    更新日期:2009-06-01 00:00:00

  • Generation of very slow neuronal rhythms and chaos near the Hopf bifurcation in single neuron models.

    abstract::We have presented a new generation mechanism of slow spiking or repetitive discharges with extraordinarily long inter-spike intervals using the modified Hodgkin-Huxley equations (Doi and Kumagai, 2001). This generation process of slow firing is completely different from that of the well-known potassium A-current in th...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-2895-1

    authors: Doi S,Kumagai S

    更新日期:2005-12-01 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

  • 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

  • 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...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/B:JCNS.0000037683.55688.7e

    authors: Rulkov NF,Timofeev I,Bazhenov M

    更新日期:2004-09-01 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

  • 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

  • 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

  • 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

  • State-dependent effects of Na channel noise on neuronal burst generation.

    abstract::We explore the effects of stochastic sodium (Na) channel activation on the variability and dynamics of spiking and bursting in a model neuron. The complete model segregates Hodgin-Huxley-type currents into two compartments, and undergoes applied current-dependent bifurcations between regimes of periodic bursting, chao...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/B:JCNS.0000014104.08299.8b

    authors: Rowat PF,Elson RC

    更新日期:2004-03-01 00:00:00