Spike-Train Communities: Finding Groups of Similar Spike Trains

Spike-train communities: finding groups of similar spike trains.

Identifying similar spike-train patterns is a key element in understanding neural coding and computation. For single neurons, similar spike patterns evoked by stimuli are evidence of common coding. Across multiple neurons, similar spike trains indicate potential cell assemblies. As recording technology advances, so does the urgent need for grouping methods to make sense of large-scale datasets ...

Local shuffling of spike trains boosts the accuracy of spike train spectral analysis.

Spectral analysis of neuronal spike trains is an important tool in understanding the characteristics of neuronal activity by providing insights into normal and pathological periodic oscillatory phenomena. However, the refractory period creates high-frequency modulations in spike-train firing rate because any rise in the discharge rate causes a descent in subsequent time bins, leading to multifa...

Innovative Methodology Local Shuffling of Spike Trains Boosts the Accuracy of Spike Train Spectral Analysis

Rivlin-Etzion, Michal, Ya’acov Ritov, Gali Heimer, Hagai Bergman, and Izhar Bar-Gad. Local shuffling of spike trains boosts the accuracy of spike train spectral analysis. J Neurophysiol 95: 3245–3256, 2006. First published January 11, 2006; doi:10.1152/jn.00055.2005. Spectral analysis of neuronal spike trains is an important tool in understanding the characteristics of neuronal activity by prov...

Spike Train

Measuring spike train distance from multichannel spike trains data simulated by coupled escape rate model

Estimating the population activity patterns between two or more spike trains is a fundamental problem in studying neural coding in computational neuroscience. In recent years, there are many different methods proposed to build a framework to deal with these problems by using spike train metric. Here we suggest a kernel method for multichannel spike trains that can provide an opportunity to meas...