- 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
-
Dynamics of competition between coupled spiking networks in the balanced state ; volume:16 ; number:1 ; day:18 ; month:12 ; year:2015 ; pages:1 ; date:12.2015
BMC neuroscience ; 16, Heft 1 (18.12.2015), 1, 12.2015
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1186/1471-2202-16-S1-P211
- URN
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urn:nbn:de:101:1-2020100415420801101892
- Rights
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Open Access; 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
- Lagzi, Fereshteh
- Rotter, Stefan
- SpringerLink (Online service)
Other Objects (12)
Dynamics of competition between subnetworks of spiking neuronal networks in the balanced state
Wechselwirkende stochastische Punktprozesse als Modell für neuronale Aktivität im Neocortex der Säugetiere
Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network
Mean-field analysis of orientation selectivity in inhibition-dominated networks of spiking neurons
Nonlinear signal processing by noisy spiking neurons
Correlations in spiking neuronal networks with distance dependent connections
Distribution of orientation selectivity in recurrent networks of spiking neurons with different random topologies
Emergent properties of interacting populations of spiking neurons
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference
Sensory processing in neocortical networks: randomness, specificity and learning
Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
Dynamics of competition between subnetworks of spiking neuronal networks in the balanced state
Wechselwirkende stochastische Punktprozesse als Modell für neuronale Aktivität im Neocortex der Säugetiere
Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network
Mean-field analysis of orientation selectivity in inhibition-dominated networks of spiking neurons
Nonlinear signal processing by noisy spiking neurons
Correlations in spiking neuronal networks with distance dependent connections
Distribution of orientation selectivity in recurrent networks of spiking neurons with different random topologies
Emergent properties of interacting populations of spiking neurons
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference
Sensory processing in neocortical networks: randomness, specificity and learning
Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
Dynamics of competition between subnetworks of spiking neuronal networks in the balanced state
Wechselwirkende stochastische Punktprozesse als Modell für neuronale Aktivität im Neocortex der Säugetiere
Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network
Mean-field analysis of orientation selectivity in inhibition-dominated networks of spiking neurons
Nonlinear signal processing by noisy spiking neurons
Correlations in spiking neuronal networks with distance dependent connections
Distribution of orientation selectivity in recurrent networks of spiking neurons with different random topologies
Emergent properties of interacting populations of spiking neurons
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference
Sensory processing in neocortical networks: randomness, specificity and learning
Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks