Independent component analysis of temporal sequences subject to constraints by lateral geniculate nucleus inputs yields all the three major cell types of the primary visual cortex.

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：: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

authors： Dehghani N,Bédard C,Cash SS,Halgren E,Destexhe A

更新日期：2010-06-17 00:00:00

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

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

更新日期：2020-02-01 00:00:00

abstract：:Linear additivity of synaptic input is a pervasive assumption in computational neuroscience, and previously Bernander et al. (Journal of Neurophysiology 72:2743-2753, 1994) point out that the sublinear additivity of a passive neuronal model can be linearized with voltage-dependent currents. Here we re-examine this per...

journal_title：Journal of computational neuroscience

authors： Morel D,Levy W

更新日期：2009-10-01 00:00:00

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

authors： Lim W,Kim SY

更新日期：2011-11-01 00:00:00

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

authors： Johnson EC,Jones DL,Ratnam R

更新日期：2016-04-01 00:00:00

abstract：:Synchronization of excitable cells coupled by reciprocal inhibition is a topic of significant interest due to the important role that inhibitory synaptic interaction plays in the generation and regulation of coherent rhythmic activity in a variety of neural systems. While recent work revealed the synchronizing influen...

journal_title：Journal of computational neuroscience

authors： Oh M,Matveev V

更新日期：2009-04-01 00:00:00

abstract：:Implementation of double cable models to simulate the behavior of myelinated peripheral nerve fibers requires defining a segmentation of the internode between successive nodes of Ranvier. The number of internodal segments is a model parameter that is not well agreed on, with values in the literature ranging from 1 to ...

journal_title：Journal of computational neuroscience

authors： Dekker DM,Briaire JJ,Frijns JH

更新日期：2014-10-01 00:00:00

abstract：:The temporal durations between events often exert a strong influence over behavior. The details of this influence have been extensively characterized in behavioral experiments in different animal species. A remarkable feature of the data collected in these experiments is that they are often time-scale invariant. This ...

journal_title：Journal of computational neuroscience

authors： Almeida R,Ledberg A

更新日期：2010-02-01 00:00:00

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

authors： Huyck CR,Vergani AA

更新日期：2020-08-01 00:00:00

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

authors： Droste F,Lindner B

更新日期：2017-08-01 00:00:00

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

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

更新日期：2014-04-01 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：: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

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

更新日期：2004-07-01 00:00:00

abstract：:The extraction of the direction of motion from the time varying retinal images is one of the most basic tasks any visual system is confronted with. However, retinal images are severely corrupted by photon noise, in particular at low light levels, thus limiting the performance of motion detection mechanisms of what sor...

journal_title：Journal of computational neuroscience

authors： Shi L,Borst A

更新日期：2006-04-01 00:00:00

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

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

更新日期：2000-09-01 00:00:00

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

authors： Tao L,Praissman J,Sornborger AT

更新日期：2012-04-01 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：:A number of tests exist to check for statistical significance of phase synchronisation within the Electroencephalogram (EEG); however, the majority suffer from a lack of generality and applicability. They may also fail to account for temporal dynamics in the phase synchronisation, regarding synchronisation as a consta...

journal_title：Journal of computational neuroscience

authors： Daly I,Sweeney-Reed CM,Nasuto SJ

更新日期：2013-06-01 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：: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

authors： Siegel M,Körding KP,König P

更新日期：2000-03-01 00:00:00

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...

journal_title：Journal of computational neuroscience

authors： Mysin IE,Kitchigina VF,Kazanovich Y

更新日期：2015-08-01 00:00:00

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

authors： Skinner FK,Bazzazi H,Campbell SA

更新日期：2005-06-01 00:00:00

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

authors： Rosay S,Weber S,Mulas M

更新日期：2019-08-01 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：:We developed a multicompartmental Hodgkin-Huxley model of the Hermissenda type-B photoreceptor and used it to address the relative contributions of reductions of two K+ currents, IA and IC, to changes in cellular excitability and synaptic strength that occur in these cells after associative learning. We found that red...

journal_title：Journal of computational neuroscience

authors： Fost JW,Clark GA

更新日期：1996-06-01 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：: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

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

更新日期：2009-08-01 00:00:00

abstract：:Stellate cells in the cat antero-ventral cochlear nucleus (AVCN) maintain a robust rate-place representation of vowel spectra over a wide range of stimulus levels. This rate-place representation resembles that of low threshold, high spontaneous rate (SR) auditory nerve fibers (ANFs) at low stimulus levels, and that of...

journal_title：Journal of computational neuroscience

authors： Lai YC,Winslow RL,Sachs MB

更新日期：1994-08-01 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