Compensating for synaptic loss in Alzheimer's disease.

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：:Models of electrical activity in excitable cells involve nonlinear interactions between many ionic currents. Changing parameters in these models can produce a variety of activity patterns with sometimes unexpected effects. Further more, introducing new currents will have different effects depending on the initial para...

journal_title：Journal of computational neuroscience

authors： Fletcher P,Bertram R,Tabak J

更新日期：2016-06-01 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：:We developed a physiologically plausible model of the first steps of spatial visual information processing in the fovea of the human retina. With the predictions of this model we could support the hypothesis that, for moderate contracts (< or = 40%), hyperacuity is mediated by the magnocellular (MC-) pathway. Despite ...

journal_title：Journal of computational neuroscience

authors： Wachtler T,Wehrhahn C,Lee BB

更新日期：1996-03-01 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：: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：: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：: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

authors： Gao J,Holmes P

更新日期：2007-02-01 00:00:00

abstract：:We present a model for the use of open loop optogenetic control to inhibit epileptiform activity in a meso scale model of the human cortex. The meso scale cortical model first developed by Liley et al. (2001) is extended to two dimensions and the nature of the seizure waves is studied. We adapt to the meso scale a 4 s...

journal_title：Journal of computational neuroscience

authors： Selvaraj P,Sleigh JW,Freeman WJ,Kirsch HE,Szeri AJ

更新日期：2014-06-01 00:00:00

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

authors： Cortes JM,Marinazzo D,Series P,Oram MW,Sejnowski TJ,van Rossum MC

更新日期：2012-06-01 00:00:00

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

authors： Doi S,Kumagai S

更新日期：2005-12-01 00:00:00

abstract：:During neural development sensory stimulation induces long-term changes in the receptive field of the neurons that encode the stimuli. The Bienenstock-Cooper-Munro (BCM) model was introduced to model and analyze this process computationally, and it remains one of the major models of unsupervised plasticity to this day...

journal_title：Journal of computational neuroscience

authors： Froc M,van Rossum MCW

更新日期：2019-04-01 00:00:00

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

authors： Ioan D,Bărbulescu R,Silveira LM,Ciuprina G

更新日期：2019-12-01 00:00:00

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

authors： Siegel RM

更新日期：1998-12-01 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：: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：: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

authors： Lazar AA,Slutskiy YB

更新日期：2015-02-01 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：: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：2010-12-01 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：: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：: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 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

authors： Chen CW,Ju MS,Sun YN,Lin CC

更新日期：2009-12-01 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：:Voltage-sensitive dye imaging (VSDi) has revealed fundamental properties of neocortical processing at macroscopic scales. Since for each pixel VSDi signals report the average membrane potential over hundreds of neurons, it seems natural to use a mean-field formalism to model such signals. Here, we present a mean-field...

journal_title：Journal of computational neuroscience

authors： Zerlaut Y,Chemla S,Chavane F,Destexhe A

更新日期：2018-02-01 00:00:00

abstract：:Transcranial Direct brain stimulation (tDCS) is commonly used in order to modulate cortical networks activity during physiological processes through the application of weak electrical fields with scalp electrodes. Cathodal stimulation has been shown to decrease brain excitability in the context of epilepsy, with varia...

journal_title：Journal of computational neuroscience

authors： Denoyer Y,Merlet I,Wendling F,Benquet P

更新日期：2020-05-01 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：: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

authors： Dadok VM,Kirsch HE,Sleigh JW,Lopour BA,Szeri AJ

更新日期：2015-06-01 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：: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