当前位置： SCI文献检索 > JOURNAL OF COMPUTATIONAL NEUROSCIENCE期刊下所有文献 > The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results.

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. We extend our previous single compartment cell models of ON and OFF RGCs to more biophysically realistic multicompartment cell models and investigate the effect of cell morphology on intrinsic electrophysiological properties. The membrane dynamics are described using the Hodgkin - Huxley type formalism. A subset of published patch-clamp data from isolated intact mouse retina is used to constrain the model and another subset is used to validate the model. Two hundred morphologically distinct ON and OFF RGCs are simulated with various densities of ionic currents in different morphological neuron compartments. Our model predicts that the differences between ON and OFF cells are explained by the presence of the low voltage activated calcium current in OFF cells and absence of such in ON cells. Our study shows through simulation that particular morphological types of RGCs are capable of exhibiting the full range of phenomena described in recent experiments. Comparisons of outputs from different cells indicate that the RGC morphologies that best describe recent experimental results are ones that have a larger ratio of soma to total surface area.

journal_name

J Comput Neurosci

journal_title

Journal of computational neuroscience

authors

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

doi

10.1007/s10827-013-0463-7

subject

Has Abstract

pub_date

2014-04-01 00:00:00

pages

157-75

issue

2

eissn

0929-5313

issn

1573-6873

journal_volume

36

pub_type

杂志文章

相关文献

JOURNAL OF COMPUTATIONAL NEUROSCIENCE文献大全
  • Testing for significance of phase synchronisation dynamics in the EEG.

    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

    pub_type： 杂志文章

    doi：10.1007/s10827-012-0428-2

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

    更新日期：2013-06-01 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

  • Noise-induced transitions in slow wave neuronal dynamics.

    abstract：:Many neuronal systems exhibit slow random alternations and sudden switches in activity states. Models with noisy relaxation dynamics (oscillatory, excitable or bistable) account for these temporal, slow wave, patterns and the fluctuations within states. The noise-induced transitions in a relaxation dynamics are analog...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-009-0178-y

    authors： Lim S,Rinzel J

    更新日期：2010-02-01 00:00:00

  • Bayesian analysis of the kinetics of quantal transmitter secretion at the neuromuscular junction.

    abstract：:The timing of transmitter release from nerve endings is considered nowadays as one of the factors determining the plasticity and efficacy of synaptic transmission. In the neuromuscular junction, the moments of release of individual acetylcholine quanta are related to the synaptic delays of uniquantal endplate currents...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-015-0567-3

    authors： Saveliev A,Khuzakhmetova V,Samigullin D,Skorinkin A,Kovyazina I,Nikolsky E,Bukharaeva E

    更新日期：2015-10-01 00:00:00

  • Modeling Hermissenda: I. Differential contributions of IA and IC to type-B cell plasticity.

    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

    pub_type： 杂志文章

    doi：10.1007/BF00160809

    authors： Fost JW,Clark GA

    更新日期：1996-06-01 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

  • 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

  • Propagation of photon noise and information transfer in visual motion detection.

    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

    pub_type： 杂志文章

    doi：10.1007/s10827-005-5906-3

    authors： Shi L,Borst A

    更新日期：2006-04-01 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

  • Cliques and cavities in the human connectome.

    abstract：:Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and perform complex behaviors. Because cognitive processes involve large, distributed networks of brain areas, principled examinations of multi-n...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-017-0672-6

    authors： Sizemore AE,Giusti C,Kahn A,Vettel JM,Betzel RF,Bassett DS

    更新日期：2018-02-01 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

  • Nonlinear time series analysis of jerk congenital nystagmus.

    abstract：:Nonlinear dynamics provides a complementary framework to control theory for the quantitative analysis of the oculomotor control system. This paper presents a number of findings relating to the aetiology and mechanics of the pathological ocular oscillation jerk congenital nystagmus (jerk CN). A range of time series ana...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-006-7816-4

    authors： Akman OE,Broomhead DS,Clement RA,Abadi RV

    更新日期：2006-10-01 00:00:00

  • Model analyses of visual biofeedback training for EEG-based brain-computer interface.

    abstract：:The primary goal of this study was to construct a simulation model of a biofeedback brain-computer interface (BCI) system to analyze the effect of biofeedback training on BCI users. A mathematical model of a man-machine visual-biofeedback BCI system was constructed to simulate a subject using a BCI system to control c...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-009-0148-4

    authors： Chen CW,Ju MS,Sun YN,Lin CC

    更新日期：2009-12-01 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

  • 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

  • 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

  • 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

  • New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.

    abstract：:During slow-wave sleep, brain electrical activity is dominated by the slow (< 1 Hz) electroencephalogram (EEG) oscillations characterized by the periodic transitions between active (or Up) and silent (or Down) states in the membrane voltage of the cortical and thalamic neurons. Sleep slow oscillation is believed to pl...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-017-0663-7

    authors： Komarov M,Krishnan G,Chauvette S,Rulkov N,Timofeev I,Bazhenov M

    更新日期：2018-02-01 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

  • Differential control of active and silent phases in relaxation models of neuronal rhythms.

    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

    pub_type： 杂志文章

    doi：10.1007/s10827-006-8862-7

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

    更新日期：2006-12-01 00:00:00

  • 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

  • Extracting wave structure from biological data with application to responses in turtle visual cortex.

    abstract：:Waves have long been thought to be a fundamental mechanism for communicating information within a medium and are widely observed in biological systems. However, a quantitative analysis of biological waves is confounded by the variability and complexity of the response. This paper proposes a robust technique for extrac...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1023/B:JCNS.0000025689.01581.26

    authors： Robbins KA,Senseman DM

    更新日期：2004-05-01 00:00:00

  • Spiking neural circuits with dendritic stimulus processors : encoding, decoding, and identification in reproducing kernel Hilbert spaces.

    abstract：:We present a multi-input multi-output neural circuit architecture for nonlinear processing and encoding of stimuli in the spike domain. In this architecture a bank of dendritic stimulus processors implements nonlinear transformations of multiple temporal or spatio-temporal signals such as spike trains or auditory and ...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-014-0522-8

    authors： Lazar AA,Slutskiy YB

    更新日期：2015-02-01 00:00:00

  • 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...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/s10827-015-0564-6

    authors： Mysin IE,Kitchigina VF,Kazanovich Y

    更新日期：2015-08-01 00:00:00

  • Computational principles underlying the recognition of acoustic signals in insects.

    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

    pub_type： 杂志文章

    doi：10.1007/s10827-013-0441-0

    authors： Clemens J,Hennig RM

    更新日期：2013-08-01 00:00:00

  • Distributed processing on the basis of parallel and antagonistic pathways simulation of the femur-tibia control system in the stick insect.

    abstract：:In inactive stick insects, sensory information from the femoral chordotonal organ (fCO) about position and movement of the femur-tibia joint is transferred via local nonspiking interneurons onto extensor and flexor tibiae motoneurons. Information is processed by the interaction of antagonistic parallel pathways at two...

    journal_title：Journal of computational neuroscience

    pub_type： 杂志文章

    doi：10.1007/BF00161131

    authors： Sauer AE,Driesang RB,Büschges A,Bässler U

    更新日期：1996-09-01 00:00:00

  • Crossover inhibition in the retina: circuitry that compensates for nonlinear rectifying synaptic transmission.

    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

    pub_type： 杂志文章

    doi：10.1007/s10827-009-0170-6

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

    更新日期：2009-12-01 00:00:00

  • Correction to: Psychophysical detection and learning in freely behaving rats: a probabilistic dynamical model for operant conditioning.

    abstract：:The original version of this article unfortunately has some typographical errors in equations (5), (6), (7), (8), and (12). ...

    journal_title：Journal of computational neuroscience

    pub_type： 已发布勘误

    doi：10.1007/s10827-020-00759-0

    authors： Devecioğlu İ,Güçlü B

    更新日期：2020-08-01 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

  • 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