Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons.

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 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

authors： Sánchez E,Barro S,Mariño J,Canedo A

更新日期：2006-08-01 00:00:00

abstract：:When two-frame apparent motion stimuli are presented with an appropriate inter-stimulus interval (ISI), motion is perceived in the direction opposite to the actual image shift. Herein, we measured a simple eye movement, ocular following responses (OFRs), in macaque monkeys to examine the ISI reversal effect on oculomo...

journal_title：Journal of computational neuroscience

authors： Takemura A,Matsumoto J,Hashimoto R,Kawano K,Miura K

更新日期：2020-07-17 00:00:00

abstract：:The influence of unreliable synapses on the dynamic properties of a neural network is investigated for a homogeneous integrate-and-fire network with delayed inhibitory synapses. Numerical and analytical calculations show that the network relaxes to a state with dynamic clusters of identical size which permanently exch...

journal_title：Journal of computational neuroscience

authors： Friedrich J,Kinzel W

更新日期：2009-08-01 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 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：: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：: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：: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：: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：:In the compensatory optomotor response of the fly the interesting phenomenon of gain control has been observed by Reichardt and colleagues (Reichardt et al., 1983): The amplitude of the response tends to saturate with increasing stimulus size, but different saturation plateaus are assumed with different velocities at ...

journal_title：Journal of computational neuroscience

authors： Borst A,Egelhaaf M,Haag J

更新日期：1995-03-01 00:00:00

abstract：:Characterizing how different cortical rhythms interact and how their interaction changes with sensory stimulation is important to gather insights into how these rhythms are generated and what sensory function they may play. Concepts from information theory, such as Transfer Entropy (TE), offer principled ways to quant...

journal_title：Journal of computational neuroscience

authors： Besserve M,Schölkopf B,Logothetis NK,Panzeri S

更新日期：2010-12-01 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：: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

authors： Bel A,Rotstein HG

更新日期：2019-04-01 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：: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

authors： Lundstrom BN,Famulare M,Sorensen LB,Spain WJ,Fairhall AL

更新日期：2009-10-01 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：: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：:We explore the effects of stochastic sodium (Na) channel activation on the variability and dynamics of spiking and bursting in a model neuron. The complete model segregates Hodgin-Huxley-type currents into two compartments, and undergoes applied current-dependent bifurcations between regimes of periodic bursting, chao...

journal_title：Journal of computational neuroscience

authors： Rowat PF,Elson RC

更新日期：2004-03-01 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 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：:This modeling study examines the possible functional roles of two hyperpolarization-activated conductances in lateral superior olive (LSO) principal neurons. Inputs of these LSO neurons are transformed into an output, which provides a firing-rate code for a certain interaural sound intensity difference (IID) range. Re...

journal_title：Journal of computational neuroscience

authors： Szalisznyó K

更新日期：2006-04-01 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：: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：:Much evidence indicates that recognition memory involves two separable processes, recollection and familiarity discrimination, with familiarity discrimination being dependent on the perirhinal cortex of the temporal lobe. Here, we describe a new neural network model designed to mimic the response patterns of perirhina...

journal_title：Journal of computational neuroscience

authors： Bogacz R,Brown MW,Giraud-Carrier C

更新日期：2001-01-01 00:00:00

abstract：:Synaptic plasticity is believed to represent the neural correlate of mammalian learning and memory function. It has been demonstrated that changes in synaptic conductance can be induced by approximately synchronous pairings of pre- and post- synaptic action potentials delivered at low frequencies. It has also been est...

journal_title：Journal of computational neuroscience

authors： Bush D,Jin Y

更新日期：2012-12-01 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：: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：:We investigate the use of extracellular action potential (EAP) recordings for biophysically faithful compartmental models. We ask whether constraining a model to fit the EAP is superior to matching the intracellular action potential (IAP). In agreement with previous studies, we find that the IAP method under-constrain...

journal_title：Journal of computational neuroscience

authors： Gold C,Henze DA,Koch C

更新日期：2007-08-01 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