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Time-resolved and time-scale adaptive measures of spike train synchrony
- Source :
- Journal of neuroscience methods 195 (2011): 92–106. doi:10.1016/j.jneumeth.2010.11.020, info:cnr-pdr/source/autori:Thomas Kreuz a; Daniel Chicharro b; Martin Greschner c; Ralph G. Andrzejak b/titolo:Time-resolved and time-scale adaptive measures of spike train synchrony/doi:10.1016%2Fj.jneumeth.2010.11.020/rivista:Journal of neuroscience methods/anno:2011/pagina_da:92/pagina_a:106/intervallo_pagine:92–106/volume:195
- Publication Year :
- 2010
-
Abstract
- A wide variety of approaches to estimate the degree of synchrony between two or more spike trains have been proposed. One of the most recent methods is the ISI-distance which extracts information from the interspike intervals (ISIs) by evaluating the ratio of the instantaneous firing rates. In contrast to most previously proposed measures it is parameter free and time-scale independent. However, it is not well suited to track changes in synchrony that are based on spike coincidences. Here we propose the SPIKE-distance, a complementary measure which is sensitive to spike coincidences but still shares the fundamental advantages of the ISI-distance. In particular, it is easy to visualize in a time-resolved manner and can be extended to a method that is also applicable to larger sets of spike trains. We show the merit of the SPIKE-distance using both simulated and real data.<br />15 pages, 10 figures, 47 references
- Subjects :
- Retinal Ganglion Cells
Computer science
Speech recognition
Spike train
Models, Neurological
Neural Conduction
Time series analysis
Action Potentials
FOS: Physical sciences
Synchronization
Measure (mathematics)
Clustering
Time
Neuronal coding
Animals
Humans
Spike trains
Physics - Biological Physics
Time series
Quantitative Biology::Neurons and Cognition
General Neuroscience
Contrast (statistics)
Probability and statistics
Computational Physics (physics.comp-ph)
Degree (music)
Biological Physics (physics.bio-ph)
Physics - Data Analysis, Statistics and Probability
Spike (software development)
Algorithm
Physics - Computational Physics
Data Analysis, Statistics and Probability (physics.data-an)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Journal of neuroscience methods 195 (2011): 92–106. doi:10.1016/j.jneumeth.2010.11.020, info:cnr-pdr/source/autori:Thomas Kreuz a; Daniel Chicharro b; Martin Greschner c; Ralph G. Andrzejak b/titolo:Time-resolved and time-scale adaptive measures of spike train synchrony/doi:10.1016%2Fj.jneumeth.2010.11.020/rivista:Journal of neuroscience methods/anno:2011/pagina_da:92/pagina_a:106/intervallo_pagine:92–106/volume:195
- Accession number :
- edsair.doi.dedup.....88776029be43bc8d1f66da596d66a6b7