The mystery of structure and function of sensory processing areas of the neocortex: a resolution.

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：:Avian brain area HVC is known to be important for the production of birdsong. In zebra finches, each RA-projecting neuron in HVC emits a single burst of spikes during a song motif. The population of neurons is activated in a precisely timed, stereotyped sequence. We propose a model of these burst sequences that relies...

journal_title：Journal of computational neuroscience

authors： Jin DZ,Ramazanoğlu FM,Seung HS

更新日期：2007-12-01 00:00:00

abstract：:The primary sensory feature represented within the rodent barrel cortex is the velocity with which a whisker has been deflected. Whisker deflection velocity is encoded within the thalamus via population synchrony (higher deflection velocities entail greater synchrony among the corresponding thalamic population). Thala...

journal_title：Journal of computational neuroscience

authors： Liu R,Patel M,Joshi B

更新日期：2014-12-01 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：: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：: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：:Lyapunov exponents are a basic and powerful tool to characterise the long-term behaviour of dynamical systems. The computation of Lyapunov exponents for continuous time dynamical systems is straightforward whenever they are ruled by vector fields that are sufficiently smooth to admit a variational model. Hybrid neuron...

journal_title：Journal of computational neuroscience

authors： Bizzarri F,Brambilla A,Gajani GS

更新日期：2013-10-01 00:00:00

abstract：:Many neuron types exhibit preferred frequency responses in their voltage amplitude (resonance) or phase shift to subthreshold oscillatory currents, but the effect of biophysical parameters on these properties is not well understood. We propose a general framework to analyze the role of different ionic currents and the...

journal_title：Journal of computational neuroscience

authors： Rotstein HG,Nadim F

更新日期：2014-08-01 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：: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：: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：:Neuron modeling may be said to have originated with the Hodgkin and Huxley action potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over the ensuing decades, these approaches have led to a massive development of increasingly accurate and complex data-based models of neurons and ne...

journal_title：Journal of computational neuroscience

authors： McDougal RA,Morse TM,Carnevale T,Marenco L,Wang R,Migliore M,Miller PL,Shepherd GM,Hines ML

更新日期：2017-02-01 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：: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：: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：: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

abstract：:Prominent models of spike trains assume only one source of variability - stochastic (Poisson) spiking - when stimuli and behavior are fixed. However, spike trains may also reflect variability due to internal processes such as planning. For example, we can plan a movement at one point in time and execute it at some arb...

journal_title：Journal of computational neuroscience

authors： Lawlor PN,Perich MG,Miller LE,Kording KP

更新日期：2018-12-01 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

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：: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：: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

authors： Lim S,Rinzel J

更新日期：2010-02-01 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：: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：: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：: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

authors： Delorme A

更新日期：2003-11-01 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：: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：: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：: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：: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