As a method for the analysis of neural spike trains, we examine fundamental characteristics of interspike interval (ISI) reconstruction theoretically with.
Abstract. As a method for the analysis of neural spike trains, we examine fundamental characteristics of interspike interval (ISI) reconstruction ...
(A) Each pixel in the checkerboard was refreshed each Δt = 33.33 ms with a random value, and the spikes were recorded within the same interval. (B) We ...
By comparing measured firing rates with Poisson processes, we can model the variability of interspike intervals in real neurons. 6.3 Spike Trains. Example of a ...
Aug 29, 2013 · This paper studies the multiscale analysis of neural spike trains, through both graphical and Poisson process approaches.
Oct 2, 2019 · Several strong analytical methods for estimating connections from spike trains have been developed, including the CC analysis,,, and the GLM,,,, ...
Spike trains are a representation of neural activity. In neurophysiological studies, spike trains are obtained by detecting intra- or extracellularly the action ...
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What is neural spike train analysis?
What are Interspike intervals?
This study systematically investigated the interspike interval structures of separated complex and simple spike trains recorded in anaesthetized rats, ...
Reconstructing stimuli from the spike trains of neurons is an important approach for understanding the neural code. One of the difficulties associated with ...
Jul 3, 2018 · In fact, for the simplest case of spike trains described by a homogeneous Poisson process, the mean instantaneous rate actually diverges16. The ...