A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
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A Granger causality measure for point process models of ensemble neural spiking activityA cortical neural prosthesis for restoring and enhancing memoryThe need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfacesThe BRAIN Initiative: developing technology to catalyse neuroscience discovery.Information theoretic approaches to understanding circuit functionA Framework for Quantitative Modeling of Neural Circuits Involved in Sleep-to-Wake TransitionContext matters: the illusive simplicity of macaque V1 receptive fieldsSaliency and saccade encoding in the frontal eye field during natural scene search.Stress-induced impairment of a working memory task: role of spiking rate and spiking history predicted dischargeInvisible Brain: Knowledge in Research Works and Neuron ActivityBrain-Computer Interfaces for Speech Communication.Uncovering spatial topology represented by rat hippocampal population neuronal codesAnesthetic state modulates excitability but not spectral tuning or neural discrimination in single auditory midbrain neurons.Spike correlations in a songbird agree with a simple markov population modelState-space analysis of time-varying higher-order spike correlation for multiple neural spike train dataModels of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation.Modulation of neural activity by reward in medial intraparietal cortex is sensitive to temporal sequence of reward.Sparse 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.Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortexA dynamical point process model of auditory nerve spiking in response to complex soundsDiscriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.A point process framework for modeling electrical stimulation of the auditory nerve.Incorporating naturalistic correlation structure improves spectrogram reconstruction from neuronal activity in the songbird auditory midbrain.Encoding of coordinated grasp trajectories in primary motor cortexEncoding 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.Neuronal mechanisms of cortical alpha oscillations in awake-behaving macaquesHippocampal "time cells": time versus path integrationAlgorithms 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.Robust spectrotemporal decomposition by iteratively reweighted least squares.Investigating attention in complex visual search.Measuring the signal-to-noise ratio of a neuron.Understanding spike-triggered covariance using Wiener theory for receptive field identification.Single-trial dynamics of motor cortex and their applications to brain-machine interfacesDuring Running in Place, Grid Cells Integrate Elapsed Time and Distance Run.A unified approach to linking experimental, statistical and computational analysis of spike train data.An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine InterfacesRapid control and feedback rates enhance neuroprosthetic control
P2860
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P2860
A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
description
2004 nî lūn-bûn
@nan
2004 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
A point process framework for ...... d extrinsic covariate effects.
@ast
A point process framework for ...... d extrinsic covariate effects.
@en
A point process framework for ...... d extrinsic covariate effects.
@nl
type
label
A point process framework for ...... d extrinsic covariate effects.
@ast
A point process framework for ...... d extrinsic covariate effects.
@en
A point process framework for ...... d extrinsic covariate effects.
@nl
prefLabel
A point process framework for ...... d extrinsic covariate effects.
@ast
A point process framework for ...... d extrinsic covariate effects.
@en
A point process framework for ...... d extrinsic covariate effects.
@nl
P2093
P2860
P356
P1476
A point process framework for ...... d extrinsic covariate effects.
@en
P2093
Emery N Brown
John P Donoghue
Matthew R Fellows
Uri T Eden
Wilson Truccolo
P2860
P304
P356
10.1152/JN.00697.2004
P407
P50
P577
2004-09-08T00:00:00Z