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 changes in the opposite direction that restore equilibrium. We show that these opposing phases would make the net plasticity at each gr-->Pkj synapse proportional to the change in its activity during the training trial, as influenced by a factor that precludes plasticity when changes in activity are inconsistent. This yields an expression for the component of granule cell activity that supports learning, the across-trials consistency vector, the square of which determines the expected rate of learning. These results suggest that the equilibrium maintained by the cerebellar-olivary system must be disrupted in a specific and systematic manner to promote cerebellar-mediated motor learning.
journal_name
J Comput Neuroscijournal_title
Journal of computational neuroscienceauthors
Kenyon GT,Medina JF,Mauk MDdoi
10.1023/a:1008830427738subject
Has Abstractpub_date
1998-03-01 00:00:00pages
71-90issue
1eissn
0929-5313issn
1573-6873journal_volume
5pub_type
杂志文章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
更新日期：2011-11-01 00:00:00
abstract：:During posture control, reflexive feedback allows humans to efficiently compensate for unpredictable mechanical disturbances. Although reflexes are involuntary, humans can adapt their reflexive settings to the characteristics of the disturbances. Reflex modulation is commonly studied by determining reflex gains: a set...
journal_title：Journal of computational neuroscience
pub_type： 杂志文章
doi：10.1007/s10827-010-0278-8
更新日期：2011-06-01 00:00:00
abstract：:The existence of electrical communication among pyramidal cells (PCs) in the adult cortex has been debated by neuroscientists for several decades. Gap junctions (GJs) among cortical interneurons have been well documented experimentally and their functional roles have been proposed by both computational neuroscientists...
journal_title：Journal of computational neuroscience
pub_type： 杂志文章
doi：10.1007/s10827-020-00762-5
更新日期：2020-11-01 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
pub_type： 杂志文章
doi：10.1007/s10827-018-0696-6
更新日期：2018-12-01 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
pub_type： 杂志文章
doi：10.1007/s10827-009-0141-y
更新日期：2009-10-01 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
pub_type： 杂志文章,评审
doi：10.1007/BF00961733
更新日期：1994-08-01 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
pub_type： 杂志文章
doi：10.1007/s10827-014-0503-y
更新日期：2014-10-01 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
pub_type： 杂志文章
doi：10.1007/s10827-009-0173-3
更新日期：2009-12-01 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
pub_type： 杂志文章
doi：10.1007/s10827-017-0668-2
更新日期：2018-02-01 00:00:00
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
更新日期：2009-08-01 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
pub_type： 杂志文章
doi：10.1023/a:1027420012134
更新日期：2003-11-01 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
pub_type： 杂志文章
doi：10.1007/s10827-009-0170-6
更新日期：2009-12-01 00:00:00
abstract：:The effect of a non-symmetric waveform on nerve conduction block induced by high-frequency biphasic stimulation is investigated using a lumped circuit model of the unmyelinated axon based on Hodgkin-Huxley equations. The simulation results reveal that the block threshold monotonically increases with the stimulation fr...
journal_title：Journal of computational neuroscience
pub_type： 杂志文章
doi：10.1007/s10827-014-0510-z
更新日期：2014-10-01 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
pub_type： 杂志文章
doi：10.1023/a:1008880518515
更新日期：1999-03-01 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
pub_type： 杂志文章
doi：10.1023/a:1008839312043
更新日期：1997-04-01 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
pub_type： 杂志文章
doi：10.1007/s10827-018-0698-4
更新日期：2018-10-01 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
pub_type： 杂志文章
doi：10.1007/s10827-014-0522-8
更新日期：2015-02-01 00:00:00
abstract：:The phase relationship between the activity of hippocampal place cells and the hippocampal theta rhythm systematically processes as the animal runs through the region in an environment called the place field of the cell. We present a minimal biophysical model of the phase precession of place cells in region CA3 of the...
journal_title：Journal of computational neuroscience
pub_type： 杂志文章
doi：10.1023/a:1008976210366
更新日期：2000-07-01 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
pub_type： 杂志文章
doi：10.1023/a:1008971908649
更新日期：2000-09-01 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
pub_type： 杂志文章
doi：10.1007/s10827-020-00746-5
更新日期：2020-05-01 00:00:00
abstract：:Networks of spiking neurons can have persistently firing stable bump attractors to represent continuous spaces (like temperature). This can be done with a topology with local excitatory synapses and local surround inhibitory synapses. Activating large ranges in the attractor can lead to multiple bumps, that show repel...
journal_title：Journal of computational neuroscience
pub_type： 杂志文章
doi：10.1007/s10827-020-00758-1
更新日期：2020-08-01 00:00:00
abstract：:The response of neurons to external stimuli greatly depends on the intrinsic dynamics of the network. Here, the intrinsic dynamics are modeled as coupling and the external input is modeled as shared and unshared noise. We assume the neurons are repetitively firing action potentials (i.e., neural oscillators), are weak...
journal_title：Journal of computational neuroscience
pub_type： 杂志文章
doi：10.1007/s10827-008-0120-8
更新日期：2009-06-01 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
pub_type： 杂志文章
doi：10.1007/s10827-014-0535-3
更新日期：2014-12-01 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
pub_type： 杂志文章
doi：10.1007/s10827-005-5637-5
更新日期：2006-04-01 00:00:00
abstract：:Many mechanisms of neural processing rely critically upon the synaptic connectivity between neurons. As our ability to simultaneously record from large populations of neurons expands, the ability to infer network connectivity from this data has become a major goal of computational neuroscience. To address this issue, ...
journal_title：Journal of computational neuroscience
pub_type： 杂志文章
doi：10.1007/s10827-013-0443-y
更新日期：2013-08-01 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
pub_type： 杂志文章
doi：10.1007/s10827-013-0484-2
更新日期：2014-06-01 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
pub_type： 杂志文章
doi：10.1007/s10827-005-5906-3
更新日期：2006-04-01 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
pub_type： 杂志文章
doi：10.1007/s10827-011-0358-4
更新日期：2012-06-01 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
pub_type： 杂志文章
doi：10.1007/s10827-011-0359-3
更新日期：2012-04-01 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
pub_type： 杂志文章
doi：10.1007/s10827-015-0586-0
更新日期：2016-02-01 00:00:00
