- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2202
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Auto-structure of spike trains matters for testing on synchronous activity ; volume:10 ; number:1 ; day:13 ; month:7 ; year:2009 ; pages:1-2 ; date:9.2009
BMC neuroscience ; 10, Heft 1 (13.7.2009), 1-2, 9.2009
- Creator
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Pipa, Gordon
- Contributor
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van Vreeswijk, Carl
Grun, Sonja
SpringerLink (Online service)
- DOI
-
10.1186/1471-2202-10-S1-P239
- URN
-
urn:nbn:de:1111-2016032061651
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Pipa, Gordon
- van Vreeswijk, Carl
- Grun, Sonja
- SpringerLink (Online service)
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Embedding of synchronous spike activity in cortical networks
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Auto-structure of spike trains matters for testing on synchronous activity
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Testing for higher-order correlations in massively parallel spike trains
Measuring spike train reliability
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Embedding of synchronous spike activity in cortical networks
Embedding of synchronous spike activity in cortical networks
Parametric estimation of spike train statistics
Detecting rate changes in spike trains
Measuring spike train synchrony and reliability
Fluctuation scaling in neural spike trains
Bayesian entropy estimators for spike trains
Auto-structure of spike trains matters for testing on synchronous activity
ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains
Testing for higher-order correlations in massively parallel spike trains
Measuring spike train reliability
A new spike train metric
Embedding of synchronous spike activity in cortical networks
Embedding of synchronous spike activity in cortical networks
Parametric estimation of spike train statistics
Detecting rate changes in spike trains
Measuring spike train synchrony and reliability
Fluctuation scaling in neural spike trains