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：: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

authors： Heiberg T,Kriener B,Tetzlaff T,Casti A,Einevoll GT,Plesser HE

更新日期：2013-12-01 00:00:00

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

authors： Kenyon GT,Medina JF,Mauk MD

更新日期：1998-03-01 00:00:00

abstract：:Many different neural models have been proposed to account for major characteristics of the memory phenomenon family in primates. However, in spite of the large body of neurophysiological, anatomical and behavioral data, there is no direct evidence for supporting one model while falsifying the others. And yet, we can ...

journal_title：Journal of computational neuroscience

authors： Lorincz A,Szatmáry B,Szirtes G

更新日期：2002-11-01 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：: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：:This work presents a neuroinformatic method for deriving mechanistic descriptions of fine-structured neural activity. This is a new development in the computer-assisted analysis of dynamics in conductance-based models, which is illustrated using single compartment models of an action potential. A sequence of abstract,...

journal_title：Journal of computational neuroscience

authors： Clewley R

更新日期：2011-04-01 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：:The active dendritic conductances shape the input-output properties of many principal neurons in different brain regions, and the various ways in which they regulate neuronal excitability need to be investigated to better understand their functional consequences. Using a realistic model of a hippocampal CA1 pyramidal ...

journal_title：Journal of computational neuroscience

authors： Migliore M,Messineo L,Ferrante M

更新日期：2004-01-01 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：: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

authors： Tao L,Weber KE,Arai K,Eden UT

更新日期：2018-10-01 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：:We consider whole-cell voltage-clamp data of isolated currents characterized by the Hodgkin-Huxley paradigm. We examine the errors associated with the typical parameter estimation method for these data and show them to be unsatisfactorally large especially if the time constants of activation and inactivation are not s...

journal_title：Journal of computational neuroscience

authors： Willms AR,Baro DJ,Harris-Warrick RM,Guckenheimer J

更新日期：1999-03-01 00:00:00

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

authors： Cisi RR,Kohn AF

更新日期：2008-12-01 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：: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：: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

authors： Holmes WR

更新日期：2000-01-01 00:00:00

abstract：:This paper presents a synergistic parametric and non-parametric modeling study of short-term plasticity (STP) in the Schaffer collateral to hippocampal CA1 pyramidal neuron (SC) synapse. Parametric models in the form of sets of differential and algebraic equations have been proposed on the basis of the current underst...

journal_title：Journal of computational neuroscience

authors： Song D,Wang Z,Marmarelis VZ,Berger TW

更新日期：2009-02-01 00:00:00

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

authors： Devecioğlu İ,Güçlü B

更新日期：2020-08-01 00:00:00

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

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

abstract：:Calmodulin (CaM) is a major Ca(2+) binding protein involved in two opposing processes of synaptic plasticity of CA1 pyramidal neurons: long-term potentiation (LTP) and depression (LTD). The N- and C-terminal lobes of CaM bind to its target separately but cooperatively and introduce complex dynamics that cannot be well...

journal_title：Journal of computational neuroscience

authors： Byrne MJ,Putkey JA,Waxham MN,Kubota Y

更新日期：2009-12-01 00:00:00

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

authors： Houben AM,Keil MS

更新日期：2020-02-01 00:00:00

abstract：:Computational modeling of dendritic morphology is a powerful tool for quantitatively describing complex geometrical relationships, uncovering principles of dendritic development, and synthesizing virtual neurons to systematically investigate cellular biophysics and network dynamics. A feature common to many morphologi...

journal_title：Journal of computational neuroscience

authors： Donohue DE,Ascoli GA

更新日期：2005-10-01 00:00:00

abstract：:Deep brain stimulation (DBS) of the subthlamic nucleus (STN) represents an effective treatment for medically refractory Parkinson's disease; however, understanding of its effects on basal ganglia network activity remains limited. We constructed a computational model of the subthalamopallidal network, trained it to fit...

journal_title：Journal of computational neuroscience

authors： Hahn PJ,McIntyre CC

更新日期：2010-06-01 00:00:00

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

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

更新日期：2018-02-01 00:00:00

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

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

更新日期：2008-12-01 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：: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：:We address how spatial frequency selectivity arises in Macaque primary visual cortex (V1) by simulating V1 with a large-scale network model consisting of O(10(4)) excitatory and inhibitory integrate-and-fire neurons with realistic synaptic conductances. The new model introduces variability of the widths of subregions ...

journal_title：Journal of computational neuroscience

authors： Zhu W,Shelley M,Shapley R

更新日期：2009-04-01 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：:Gamma oscillations can synchronize with near zero phase lag over multiple cortical regions and between hemispheres, and between two distal sites in hippocampal slices. How synchronization can take place over long distances in a stable manner is considered an open question. The phase resetting curve (PRC) keeps track o...

journal_title：Journal of computational neuroscience

authors： Woodman MM,Canavier CC

更新日期：2011-10-01 00:00:00