Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
about
Reconstruction of audio waveforms from spike trains of artificial cochlea modelsPush-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1.Microsaccades enable efficient synchrony-based coding in the retina: a simulation studyPulse trains to percepts: the challenge of creating a perceptually intelligible world with sight recovery technologiesGraphics Processing Unit-Accelerated Code for Computing Second-Order Wiener Kernels and Spike-Triggered CovarianceNonlinear temporal receptive fields of neurons in the dorsal cochlear nucleus.Predicting spike timing in highly synchronous auditory neurons at different sound levels.A point process framework for modeling electrical stimulation of the auditory nerve.Limb-state information encoded by peripheral and central somatosensory neurons: implications for an afferent interfaceThe accuracy of membrane potential reconstruction based on spiking receptive fields.Neurons in the thalamic reticular nucleus are selective for diverse and complex visual featuresRole of the zebra finch auditory thalamus in generating complex representations for natural sounds.Encoding and decoding amplitude-modulated cochlear implant stimuli--a point process analysis.A generalized linear model for estimating spectrotemporal receptive fields from responses to natural sounds.On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli.Estimating receptive fields from responses to natural stimuli with asymmetric intensity distributionsLinking the computational structure of variance adaptation to biophysical mechanismsSynaptic Rectification Controls Nonlinear Spatial Integration of Natural Visual Inputs.Flexible models for spike count data with both over- and under- dispersion.Rhythms of the brain: an examination of mixed mode oscillation approaches to the analysis of neurophysiological data.Intrinsic gain modulation and adaptive neural codingDecoding of the spike timing of primary afferents during voluntary arm movements in monkeysFrom spiking neuron models to linear-nonlinear models.Generating oscillatory bursts from a network of regular spiking neurons without inhibitionEstimating the amount of information carried by a neuronal population.Spike-based population coding and working memory.Regulation of spike timing in visual cortical circuits.Neuronal spike train analysis in likelihood space.Thalamic filtering of retinal spike trains by postsynaptic summation.Predicting the timing of spikes evoked by tactile stimulation of the hand.Spike-interval triggered averaging reveals a quasi-periodic spiking alternative for stochastic resonance in catfish electroreceptors.Encoding and decoding in parietal cortex during sensorimotor decision-makingModulation of temporal precision in thalamic population responses to natural visual stimuliCoding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram.Multiple spike time patterns occur at bifurcation points of membrane potential dynamics.Inferring nonlinear neuronal computation based on physiologically plausible inputsA complex-valued firing-rate model that approximates the dynamics of spiking networksPerspectives on: information and coding in mammalian sensory physiology: nonlinear spatial encoding by retinal ganglion cells: when 1 + 1 ≠ 2Identifying and tracking simulated synaptic inputs from neuronal firing: insights from in vitro experiments.Temporal precision in the visual pathway through the interplay of excitation and stimulus-driven suppression
P2860
Q27313947-311DB14C-09C3-407F-8037-B64C4D7764E4Q27318762-BC731C7D-F64B-459E-9DB4-68CAF2CE23E3Q27323227-43F5FE58-081D-4EE2-AC2C-B8409A11F717Q27324112-486978A5-69A2-4E31-B75E-B37195B1ABF1Q28469377-2870A561-C778-4782-9C0B-B54836D501F1Q30426061-06298EF9-1955-4E73-8E78-F5165AE4E150Q30429817-9F8493D0-4077-4744-A8FF-2732BAFD041EQ30450005-754333C0-32A8-4DB8-890F-DFFB8F24A339Q30453130-8478C485-6238-404E-9E8E-433B3C1FADE8Q30455465-09100CE2-55D9-4A44-885E-D3548100B7DEQ30459714-A12D9722-2E57-4D95-9510-A451A828DC52Q30474668-6CD7CD3E-6B3D-487A-9C83-B31ADAF6AAFBQ30475317-A7BB50FC-5C3C-48CF-96A7-6CB6703DFC29Q30477462-F8EFAEB4-7332-4059-98BC-1C6C3368BFB5Q30481383-7D6B5FAE-EFAB-47D7-8FBA-E3DFF3C31F63Q30493654-63CBD7C2-43D4-4A63-AEE2-CF34D7EDD553Q30580014-49EE71C8-E108-4705-B186-53931162A088Q30775422-5306E0B0-C905-4C62-AE73-719A3EB098A3Q31062189-97869F49-7BB5-4068-8459-3D32AF243B6CQ31151084-05645971-5270-4A64-8EE7-D153E1D69E6EQ33352687-1EFAA01F-6E17-4FD8-A8AE-7E25BE886A18Q33620137-E8DEC63F-F07D-4F40-8169-6C2D059CF3EDQ33809361-0CDFAF5B-F74C-43A1-B357-1A1E502FA665Q33813697-102B0D65-C032-4F59-BF00-5112B678F244Q33836899-C55722E1-AA85-40F7-91F3-3E0B4A75C5F9Q33838199-0A0E6CD0-EE25-49C3-9ABC-B2C18782A4C9Q33847080-7FA053AE-95C4-4F70-9918-8DF1B20E4D7EQ33954750-41B7AB38-45AF-4266-87CD-24029F9B58F2Q33983740-C126877B-DADA-4B9F-851A-922421F31A81Q34151464-57CCDBF7-010A-463E-AEEB-619D97DA42B9Q34189690-CE3437CD-9B90-4905-B696-FB060949CC86Q34252889-890EBF5E-2DB1-463B-ADF1-FE43F556C83BQ34353260-B06344E6-7C24-4127-8435-BFAECDDB49E3Q34440608-B568654C-BEA1-4390-A6DF-92183F7881FFQ34456021-7DD03946-B945-4AFB-ADEE-37FDAD0CAB33Q34845299-EFDBE5B0-916C-4C92-845F-43CA828F0150Q35034136-503B9495-E897-4CAD-92B1-457CC677B077Q35208346-9AE602C8-F7F1-4AE7-B58D-3AAC97565ED6Q35231441-69DEAB03-BF02-45C2-888C-D12A268E8DC9Q35401691-F96AB2B9-F832-468C-9F3E-601D8B45395D
P2860
Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Prediction and decoding of ret ...... a probabilistic spiking model.
@en
Prediction and decoding of ret ...... a probabilistic spiking model.
@nl
type
label
Prediction and decoding of ret ...... a probabilistic spiking model.
@en
Prediction and decoding of ret ...... a probabilistic spiking model.
@nl
prefLabel
Prediction and decoding of ret ...... a probabilistic spiking model.
@en
Prediction and decoding of ret ...... a probabilistic spiking model.
@nl
P2093
P1476
Prediction and decoding of ret ...... a probabilistic spiking model
@en
P2093
Jonathan W Pillow
Liam Paninski
Valerie J Uzzell
P304
11003-11013
P356
10.1523/JNEUROSCI.3305-05.2005
P407
P577
2005-11-01T00:00:00Z