Predicting every spike: a model for the responses of visual neurons.
about
Encoding and decoding cortical representations of tactile features in the vibrissa systemBurst Firing in the Electrosensory System of Gymnotiform Weakly Electric Fish: Mechanisms and Functional RolesPulse trains to percepts: the challenge of creating a perceptually intelligible world with sight recovery technologiesDynamic encoding of natural luminance sequences by LGN burstsSpike train metricsNonrenewal spike train statistics: causes and functional consequences on neural codingSpike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the RetinaConveying tactile feedback in sensorized hand neuroprostheses using a biofidelic model of mechanotransduction.Predicting spike timing in highly synchronous auditory neurons at different sound levels.Prediction of human's ability in sound localization based on the statistical properties of spike trains along the brainstem auditory pathway.Inferring the role of inhibition in auditory processing of complex natural stimuliEncoding of coordinated grasp trajectories in primary motor cortexTonotopic tuning in a sound localization circuitBurst firing is a neural code in an insect auditory system.The episodic nature of spike trains in the early visual pathway.System identification of Drosophila olfactory sensory neurons.Linking the computational structure of variance adaptation to biophysical mechanismsSynaptic Rectification Controls Nonlinear Spatial Integration of Natural Visual Inputs.What causes a neuron to spike?Flexible models for spike count data with both over- and under- dispersion.Computation in a single neuron: Hodgkin and Huxley revisited.Intrinsic gain modulation and adaptive neural codingNonlinear modeling of neural population dynamics for hippocampal prostheses.From spiking neuron models to linear-nonlinear models.Regulation of spike timing in visual cortical circuits.Integrate-and-fire vs Poisson models of LGN input to V1 cortex: noisier inputs reduce orientation selectivity.Neuronal spike train analysis in likelihood space.Thalamic filtering of retinal spike trains by postsynaptic summation.Symmetry breakdown in the ON and OFF pathways of the retina at night: functional implications.Predicting the timing of spikes evoked by tactile stimulation of the hand.Visual threshold is set by linear and nonlinear mechanisms in the retina that mitigate noise: how neural circuits in the retina improve the signal-to-noise ratio of the single-photon responseSpike-interval triggered averaging reveals a quasi-periodic spiking alternative for stochastic resonance in catfish electroreceptors.A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.Modulation of temporal precision in thalamic population responses to natural visual stimuliMultiple spike time patterns occur at bifurcation points of membrane potential dynamics.The multifunctional lateral geniculate nucleus.Stimulus-dependent maximum entropy models of neural population codes.Variance as a signature of neural computations during decision makingRapid neural coding in the retina with relative spike latencies.Inferring nonlinear neuronal computation based on physiologically plausible inputs
P2860
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P2860
Predicting every spike: a model for the responses of visual neurons.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh
2001年學術文章
@zh-hant
name
Predicting every spike: a model for the responses of visual neurons.
@en
Predicting every spike: a model for the responses of visual neurons.
@nl
type
label
Predicting every spike: a model for the responses of visual neurons.
@en
Predicting every spike: a model for the responses of visual neurons.
@nl
prefLabel
Predicting every spike: a model for the responses of visual neurons.
@en
Predicting every spike: a model for the responses of visual neurons.
@nl
P2093
P1433
P1476
Predicting every spike: a model for the responses of visual neurons.
@en
P2093
P304
P356
10.1016/S0896-6273(01)00322-1
P407
P577
2001-06-01T00:00:00Z