An approach to the quantitative analysis of electrophysiological data from single neurons.
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Electrical Responses and Spontaneous Activity of Human iPS-Derived Neuronal Networks Characterized for 3-month Culture with 4096-Electrode ArraysDeciphering the contribution of intrinsic and synaptic currents to the effects of transient synaptic inputs on human motor unit dischargeState-space analysis of time-varying higher-order spike correlation for multiple neural spike train dataTonotopic Optimization for Temporal Processing in the Cochlear Nucleus.The analysis of nonlinear synaptic transmission.Studying inner ear protein-protein interactions using FRET and FLIM.A neuron model with spatially distributed synaptic input.Spike Discharge Patterns of Spontaneous and Continuously Stimulated Activity in the Cochlear Nucleus of Anesthetized Cats.Some quantitative methods for the study of spontaneous activity of single neuronsConditional probability analyses of the spike activity of single neurons.ANNarchy: a code generation approach to neural simulations on parallel hardware.Statistical issues in the analysis of neuronal data.Cortical activity flips among quasi-stationary states.Computational study of hippocampal-septal theta rhythm changes due to β-amyloid-altered ionic channelsPhysiological considerations in artificial stimulation of the inner ear.An optimally evolved connective ratio of neural networks that maximizes the occurrence of synchronized bursting behavior.Firing rate of a retinal neuron are not predictable from interspike interval statistics.Statistical signs of synaptic interaction in neurons.Modulation of Purkinje cell complex spike waveform by synchrony levels in the olivocerebellar systemInfluence of retinal image shifts and extra-retinal eye movement signals on binocular rivalry alternations.Quantification and classification of neuronal responses in kernel-smoothed peristimulus time histogramsVesicle Motion during Sustained Exocytosis in Chromaffin Cells: Numerical Model Based on Amperometric Measurements.The effects of alfentanil and selected narcotic analgesics on the rate of action potential discharge of medullary respiratory neurones in anaesthetized rats.Statistical properties of superimposed stationary spike trains.Auditory Stimuli Coding by Postsynaptic Potential and Local Field Potential Features.Identifying type I excitability using dynamics of stochastic neural firing patternsDynamics of the ganglion cell response in the catfish and frog retinas.Analysis of between-trial and within-trial neural spiking dynamics.Effective connectivity at synaptic level in humans: a review and future prospects.Experimental difficulties with the memory codeReverse-correlation methods in auditory research.nSTAT: open-source neural spike train analysis toolbox for Matlab.Statistical analysis of motor unit firing patterns in a human skeletal muscle.Experimentally constrained CA1 fast-firing parvalbumin-positive interneuron network models exhibit sharp transitions into coherent high frequency rhythms.Kernel bandwidth optimization in spike rate estimation.Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models.A phase function to quantify serial dependence between discrete samples.Quantifying neural coding of event timing.Normalized auto- and cross-covariance functions for neuronal spike train analysis.GABAergic and glutamatergic modulation of spontaneous and motor-cortex-evoked complex spike activity.
P2860
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P2860
An approach to the quantitative analysis of electrophysiological data from single neurons.
description
1960 nî lūn-bûn
@nan
1960 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
1960 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
1960年の論文
@ja
1960年論文
@yue
1960年論文
@zh-hant
1960年論文
@zh-hk
1960年論文
@zh-mo
1960年論文
@zh-tw
1960年论文
@wuu
name
An approach to the quantitativ ...... ical data from single neurons.
@ast
An approach to the quantitativ ...... ical data from single neurons.
@en
type
label
An approach to the quantitativ ...... ical data from single neurons.
@ast
An approach to the quantitativ ...... ical data from single neurons.
@en
prefLabel
An approach to the quantitativ ...... ical data from single neurons.
@ast
An approach to the quantitativ ...... ical data from single neurons.
@en
P1433
P1476
An approach to the quantitativ ...... ical data from single neurons.
@en
P2093
G L GERSTEIN
P356
10.1016/S0006-3495(60)86872-5
P407
P577
1960-09-01T00:00:00Z