Literature DB >> 15114358

Multiple neural spike train data analysis: state-of-the-art and future challenges.

Emery N Brown1, Robert E Kass, Partha P Mitra.   

Abstract

Multiple electrodes are now a standard tool in neuroscience research that make it possible to study the simultaneous activity of several neurons in a given brain region or across different regions. The data from multi-electrode studies present important analysis challenges that must be resolved for optimal use of these neurophysiological measurements to answer questions about how the brain works. Here we review statistical methods for the analysis of multiple neural spike-train data and discuss future challenges for methodology research.

Mesh:

Year:  2004        PMID: 15114358     DOI: 10.1038/nn1228

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  198 in total

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5.  Quantification of clustering in joint interspike interval scattergrams of spike trains.

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Review 6.  Dimensionality reduction for large-scale neural recordings.

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Journal:  Nat Neurosci       Date:  2014-08-24       Impact factor: 24.884

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Journal:  Neuroinformatics       Date:  2005

8.  The most likely voltage path and large deviations approximations for integrate-and-fire neurons.

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Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

Review 9.  Improving data quality in neuronal population recordings.

Authors:  Kenneth D Harris; Rodrigo Quian Quiroga; Jeremy Freeman; Spencer L Smith
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

10.  Characterizing context-dependent differential firing activity in the hippocampus and entorhinal cortex.

Authors:  Michael J Prerau; Paul A Lipton; Howard B Eichenbaum; Uri T Eden
Journal:  Hippocampus       Date:  2014-02-03       Impact factor: 3.899

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