- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2202
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Testing for higher-order correlations in massively parallel spike trains ; volume:8 ; number:2 ; day:6 ; month:7 ; year:2007 ; pages:1-2 ; date:7.2007
BMC neuroscience ; 8, Heft 2 (6.7.2007), 1-2, 7.2007
- Creator
- Contributor
- DOI
-
10.1186/1471-2202-8-S2-P26
- URN
-
urn:nbn:de:1111-2016032056565
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Staude, Benjamin
- Rotter, Stefan
- Grün, Sonja
- SpringerLink (Online service)
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Effect of network structure on spike train correlations in networks of integrate-and-fire neurons
Basal ganglia and cortical control of thalamic rebound spikes
Statistical properties of superimposed stationary spike trains
Effective neuronal refractoriness dominates the statistics of superimposed spike trains
Correlations in spiking neuronal networks with distance dependent connections
Dynamics of competition between coupled spiking networks in the balanced state
Sensory processing in neocortical networks: randomness, specificity and learning
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks
CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference
Wechselwirkende stochastische Punktprozesse als Modell für neuronale Aktivität im Neocortex der Säugetiere
Effect of network structure on spike train correlations in networks of integrate-and-fire neurons
Basal ganglia and cortical control of thalamic rebound spikes
Statistical properties of superimposed stationary spike trains
Effective neuronal refractoriness dominates the statistics of superimposed spike trains
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Dynamics of competition between coupled spiking networks in the balanced state
Sensory processing in neocortical networks: randomness, specificity and learning
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis