Literature DB >> 15476603

Testing for and estimating latency effects for poisson and non-poisson spike trains.

Valérie Ventura1.   

Abstract

Determining the variations in response latency of one or several neurons to a stimulus is of interest in different contexts. Two common problems concern correlating latency with a particular behavior, for example, the reaction time to a stimulus, and adjusting tools for detecting synchronization between two neurons. We use two such problems to illustrate the latency testing and estimation methods developed in this article. Our test for latencies is a formal statistical test that produces a p-value. It is applicable for Poisson and non-Poisson spike trains via use of the bootstrap. Our estimation method is model free, it is fast and easy to implement, and its performance compares favorably to other methods currently available.

Mesh:

Year:  2004        PMID: 15476603     DOI: 10.1162/0899766041941952

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  5 in total

Review 1.  Conditional modeling and the jitter method of spike resampling.

Authors:  Asohan Amarasingham; Matthew T Harrison; Nicholas G Hatsopoulos; Stuart Geman
Journal:  J Neurophysiol       Date:  2011-10-26       Impact factor: 2.714

2.  Feature extraction from spike trains with Bayesian binning: 'latency is where the signal starts'.

Authors:  Dominik Endres; Mike Oram
Journal:  J Comput Neurosci       Date:  2009-05-16       Impact factor: 1.621

Review 3.  Data-driven significance estimation for precise spike correlation.

Authors:  Sonja Grün
Journal:  J Neurophysiol       Date:  2009-01-07       Impact factor: 2.714

4.  A rate and history-preserving resampling algorithm for neural spike trains.

Authors:  Matthew T Harrison; Stuart Geman
Journal:  Neural Comput       Date:  2009-05       Impact factor: 2.026

5.  Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping.

Authors:  Alex H Williams; Ben Poole; Niru Maheswaranathan; Ashesh K Dhawale; Tucker Fisher; Christopher D Wilson; David H Brann; Eric M Trautmann; Stephen Ryu; Roman Shusterman; Dmitry Rinberg; Bence P Ölveczky; Krishna V Shenoy; Surya Ganguli
Journal:  Neuron       Date:  2019-11-27       Impact factor: 17.173

  5 in total

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