Maximum likelihood estimation of cascade point-process neural encoding models.
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Optogenetic approaches to retinal prosthesisStress-induced impairment of a working memory task: role of spiking rate and spiking history predicted dischargeDetailed temporal structure of communication networks in groups of songbirdsA Convolutional Subunit Model for Neuronal Responses in Macaque V1Anesthetic state modulates excitability but not spectral tuning or neural discrimination in single auditory midbrain neurons.Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity DataModels of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation.Predictive Ensemble Decoding of Acoustical Features Explains Context-Dependent Receptive Fields.Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical NeuronsHuman Superior Temporal Gyrus Organization of Spectrotemporal Modulation Tuning Derived from Speech StimuliSparse Spectro-Temporal Receptive Fields Based on Multi-Unit and High-Gamma Responses in Human Auditory Cortex.Modeling attention-driven plasticity in auditory cortical receptive fields.Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the RetinaEmergence of band-pass filtering through adaptive spiking in the owl's cochlear nucleusTemporal variability of spectro-temporal receptive fields in the anesthetized auditory cortexDiscriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.Binaural gain modulation of spectrotemporal tuning in the interaural level difference-coding pathway.A point process framework for modeling electrical stimulation of the auditory nerve.Inferring the role of inhibition in auditory processing of complex natural stimuliExtra-classical tuning predicts stimulus-dependent receptive fields in auditory neuronsIncorporating naturalistic correlation structure improves spectrogram reconstruction from neuronal activity in the songbird auditory midbrain.Automating the design of informative sequences of sensory stimuliEncoding 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.Probabilistic population codes for Bayesian decision makingEstimating receptive fields from responses to natural stimuli with asymmetric intensity distributionsHeterogeneous response dynamics in retinal ganglion cells: the interplay of predictive coding and adaptationThe episodic nature of spike trains in the early visual pathway.Hierarchical processing of complex motion along the primate dorsal visual pathway.Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process modelsImpact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model.Parameter estimation of neuron models using in-vitro and in-vivo electrophysiological data.Measuring the signal-to-noise ratio of a neuron.Robust Estimation of Sparse Narrowband Spectra from Binary Neuronal Spiking Data.Synaptic plasticity can produce and enhance direction selectivityA new look at state-space models for neural data.Hierarchical Bayesian modeling and Markov chain Monte Carlo sampling for tuning-curve analysis.Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series.How advances in neural recording affect data analysisFrom spiking neuron models to linear-nonlinear models.
P2860
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P2860
Maximum likelihood estimation of cascade point-process neural encoding models.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh-hant
name
Maximum likelihood estimation of cascade point-process neural encoding models.
@en
Maximum likelihood estimation of cascade point-process neural encoding models.
@nl
type
label
Maximum likelihood estimation of cascade point-process neural encoding models.
@en
Maximum likelihood estimation of cascade point-process neural encoding models.
@nl
prefLabel
Maximum likelihood estimation of cascade point-process neural encoding models.
@en
Maximum likelihood estimation of cascade point-process neural encoding models.
@nl
P356
P1433
P1476
Maximum likelihood estimation of cascade point-process neural encoding models.
@en
P304
P356
10.1088/0954-898X/15/4/002
P577
2004-11-01T00:00:00Z