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

abstract：:Nonlinear biophysical properties of individual neurons are known to play a major role in the nervous system, especially those active at subthreshold membrane potentials that integrate synaptic inputs during action potential initiation. Previous electrophysiological studies have made use of a piecewise linear character...

journal_title：Journal of computational neuroscience

authors： Magnani C,Moore LE

更新日期：2011-11-01 00:00:00

abstract：:We present a new method to characterize multi-input and output neuronal systems using information theory. To obtain a lower bound of transinformation we take three steps: (1) Estimation of the deterministic response to isolate components carrying stimulus information. The deviation of the original response from the de...

journal_title：Journal of computational neuroscience

authors： Eger M,Eckhorn R

更新日期：2002-05-01 00:00:00

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

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

更新日期：2014-02-01 00:00:00

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

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

更新日期：2014-12-01 00:00:00

abstract：:The lack of a deeper understanding of how olfactory sensory neurons (OSNs) encode odors has hindered the progress in understanding the olfactory signal processing in higher brain centers. Here we employ methods of system identification to investigate the encoding of time-varying odor stimuli and their representation f...

journal_title：Journal of computational neuroscience

authors： Kim AJ,Lazar AA,Slutskiy YB

更新日期：2011-02-01 00:00:00

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

authors： Chiel HJ,Beer RD,Gallagher JC

更新日期：1999-09-01 00:00:00

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

authors： Altieri N,Yang CT

更新日期：2016-10-01 00:00:00

abstract：:The effect of a non-symmetric waveform on nerve conduction block induced by high-frequency biphasic stimulation is investigated using a lumped circuit model of the unmyelinated axon based on Hodgkin-Huxley equations. The simulation results reveal that the block threshold monotonically increases with the stimulation fr...

journal_title：Journal of computational neuroscience

authors： Zhao S,Yang G,Wang J,Roppolo JR,de Groat WC,Tai C

更新日期：2014-10-01 00:00:00

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

authors： Li X,Ascoli GA

更新日期：2006-10-01 00:00:00

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

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

更新日期：2006-12-01 00:00:00

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

authors： Akgül CB,Sankur B,Akin A

更新日期：2005-01-01 00:00:00

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

authors： Miłkowski M,Hensel WM,Hohol M

更新日期：2018-12-01 00:00:00

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

authors： Sauer M,Stannat W

更新日期：2016-02-01 00:00:00

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

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

更新日期：2002-01-01 00:00:00

abstract：:In the mammalian retina, complementary ON and OFF visual streams are formed at the bipolar cell dendrites, then carried to amacrine and ganglion cells via nonlinear excitatory synapses from bipolar cells. Bipolar, amacrine and ganglion cells also receive a nonlinear inhibitory input from amacrine cells. The most commo...

journal_title：Journal of computational neuroscience

authors： Molnar A,Hsueh HA,Roska B,Werblin FS

更新日期：2009-12-01 00:00:00

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

authors： Erhardt AH,Mardal KA,Schreiner JE

更新日期：2020-05-01 00:00:00

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

authors： Treves A

更新日期：1995-09-01 00:00:00

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

authors： Goel P,Gelperin A

更新日期：2006-12-01 00:00:00

abstract：:Mathematical neuronal models are normally expressed using differential equations. The Parker-Sochacki method is a new technique for the numerical integration of differential equations applicable to many neuronal models. Using this method, the solution order can be adapted according to the local conditions at each time...

journal_title：Journal of computational neuroscience

authors： Stewart RD,Bair W

更新日期：2009-08-01 00:00:00

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

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

更新日期：2003-09-01 00:00:00

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

authors： Wohrer A,Kornprobst P

更新日期：2009-04-01 00:00:00

abstract：:Motivated by experimental observations of the head direction system, we study a three population network model that operates as a continuous attractor network. This network is able to store in a short-term memory an angular variable (the head direction) as a spatial profile of activity across neurons in the absence of...

journal_title：Journal of computational neuroscience

authors： Boucheny C,Brunel N,Arleo A

更新日期：2005-03-01 00:00:00

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

authors： Guo D,Li C

更新日期：2011-06-01 00:00:00

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

authors： Tabak J,Murphey CR,Moore LE

更新日期：2000-11-01 00:00:00

abstract：:Many animals produce pulse-like signals during acoustic communication. These signals exhibit structure on two time scales: they consist of trains of pulses that are often broadcast in packets-so called chirps. Temporal parameters of the pulse and of the chirp are decisive for female preference. Despite these signals b...

journal_title：Journal of computational neuroscience

authors： Clemens J,Hennig RM

更新日期：2013-08-01 00:00:00

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

authors： Szatmáry B,Lorincz A

更新日期：2001-11-01 00:00:00

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

authors： Ly C,Ermentrout GB

更新日期：2009-06-01 00:00:00

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

authors： Castro L,Aguiar P

更新日期：2012-08-01 00:00:00

abstract：:Networks of hippocampal interneurons, with pyramidal neurons pharmacologically disconnected, can generate gamma-frequency (20 Hz and above) oscillations. Experiments and models have shown how the network frequency depends on excitation of the interneurons, and on the parameters of GABAA-mediated IPSCs between the inte...

journal_title：Journal of computational neuroscience

authors： Traub RD,Jefferys JG,Whittington MA

更新日期：1997-04-01 00:00:00

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

authors： Kinzel W

更新日期：2008-02-01 00:00:00