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Measuring spike train correlation with non-parametric statistics coefficient
(Institute of Electrical and Electronics Engineers, 2015-12)
Measure correlation between spike trains is a fundamental step for the study of neural systems. There are many alternatives to measure correlation, but not all possess the required properties. In this paper we propose to ...
Noise-induced interspike interval correlations and spike train regularization in spike-triggered adapting neurons
(Europhysics Letters, 2016-09)
Spike generation in neurons produces a temporal point process, whose statistics is governed by intrinsic phenomena and the external incoming inputs to be coded. In particular, spike-evoked adaptation currents support a ...
Automatic online spike sorting with singular value decomposition and fuzzy C-mean clustering
(BioMed Central, 2012-08)
Background: Understanding how neurons contribute to perception, motor functions and cognition requires the reliable detection of spiking activity of individual neurons during a number of different experimental conditions. ...
SPIKE TRAIN STATISTICS FROM EMPIRICAL FACTS TO THEORY: THE CASE OF THE RETINA
(SPRINGER SCIENCE, 2013)
This chapter focuses on methods from statistical physics and probability theory allowing the analysis of spike trains in neural networks. Taking as an example the retina we present recent works attempting to understand how ...
On information metrics for spatial coding
(2018-04-01)