Multiscale analysis of neural spike trains-Reference-Cited by-同舟云学术

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Multiscale analysis of neural spike trains

Published:2013-08-29 Issue:2 Volume:33 Page:238-256
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Ramezan Reza¹,Marriott Paul¹,Chenouri Shojaeddin¹

Affiliation:

1. Department of Statistics and Actuarial Science; University of Waterloo; 200 University Ave. W. Waterloo ON N2L3G1 Canada

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5923/fullpdf

Reference80 articles.

1. Spiking Neuron Models

2. Multiple neural spike train data analysis: state-of-the-art and future challenges;Brown;Nature Neuroscience,2004

3. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells;Brown;Journal of Neuroscience,1998

4. The time-rescaling theorem and its application to neural spike train data analysis;Brown;Neural Computation,2002

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1. Quantifying Strength of Chaos in the Population Firing Rate of Neurons;Neural Computation;2018-03

2. Task performance changes the amplitude and timing of the BOLD signal;Translational Neuroscience;2017-12-19

3. Information Geometry and Its Applications: An Overview;Computational Information Geometry;2016-11-24

4. Skellam process with resetting: a neural spike train model;Statistics in Medicine;2016-09-26

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