On similarity measures for spike trains

Justin Dauwels, François Vialatte, Theophane Weber, Andrzej Cichocki

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы для конференциирецензирование

26 Цитирования (Scopus)

Аннотация

A variety of (dis)similarity measures for one-dimensional point processes (e.g., spike trains) are investigated, including the Victor-Purpura distance metric, the van Rossum distance metric, the Schreiber et al. similarity measure, the Hunter-Milton similarity measure, the event synchronization proposed by Quiroga, and the stochastic event synchrony measures (SES) recently proposed by Dauwels et al. By analyzing surrogate data, it is demonstrated that most measures are not able to distinguish timing precision and event reliability, i.e., they depend on both aspects of synchrony. There are two exceptions: with appropriate choice of parameters, event synchronization quantifies event reliability, independently of timing precision; the two SES parameters quantify both timing precision and event reliability separately. Before one can apply the (dis)similarity measures (with the exception of SES), one needs to determine potential lags between the point processes. On the other hand, SES deals with lags in a natural and direct way, and therefore, the SES similarity measures are robust to lags. As an illustration, neuronal spike data generated by the Morris-Lecar neuron model is considered.

Язык оригиналаАнглийский
Название основной публикацииAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Страницы177-185
Число страниц9
ИзданиеPART 1
DOI
СостояниеОпубликовано - 2009
Опубликовано для внешнего пользованияДа
Событие15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, Новая Зеландия
Продолжительность: 25 нояб. 200828 нояб. 2008

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
НомерPART 1
Том5506 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция15th International Conference on Neuro-Information Processing, ICONIP 2008
Страна/TерриторияНовая Зеландия
ГородAuckland
Период25/11/0828/11/08

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