Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals. - Wikidata - awgldk - TriplyDB

Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

http://www.wikidata.org/entity/Q33607866

about

Deep brain stimulation of the subthalamic nucleus reestablishes neuronal information transmission in the 6-OHDA rat model of parkinsonism Incoordination between spikes and LFPs in Aβ1-42-mediated memory deficits in rats.Movement-related discharge in the macaque globus pallidus during high-frequency stimulation of the subthalamic nucleus Subthalamic deep brain stimulation reduces pathological information transmission to the thalamus in a rat model of parkinsonism Information in pallidal neurons increases with parkinsonian severity Random bin for analyzing neuron spike trains Deep brain stimulation induces sparse distributions of locally modulated neuronal activity.

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P2860

Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

http://www.wikidata.org/entity/Q33607866

description

2011 nî lūn-bûn

@nan

2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի փետրվարին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年论文

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name

Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

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Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

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Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

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Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

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Estimating Neuronal Information: Logarithmic Binning of Neuronal Inter-Spike Intervals.

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Alan D Dorval

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P2860

Python scripting in the nengo simulator

Nonlinear information processing in a model sensory system.

A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings.

Data transformations for improved display and fitting of single-channel dwell time histograms

Python for information theoretic analysis of neural data

Evaluation of the performance of information theory-based methods and cross-correlation to estimate the functional connectivity in cortical networks

Information about movement direction obtained from synchronous activity of motor cortical neurons.

Open source tools for the information theoretic analysis of neural data

How the brain uses time to represent and process visual information(1).

Information theory in auditory research.

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485-501

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10.3390/E13020485

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2

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