- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2202
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Firing-rate models for neurons with a broad repertoire of spiking behaviors ; volume:14 ; number:1 ; day:8 ; month:7 ; year:2013 ; pages:1 ; date:7.2013
BMC neuroscience ; 14, Heft 1 (8.7.2013), 1, 7.2013
- Creator
-
Heiberg, Thomas
- Contributor
- DOI
-
10.1186/1471-2202-14-S1-P317
- URN
-
urn:nbn:de:1111-2016032121807
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:04 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
- Heiberg, Thomas
- Kriener, Birgit
- Tetzlaff, Tom
- Einevoll, Gaute T.
- Plesser, Hans E.
- SpringerLink (Online service)
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Subthreshold repertoire and threshold dynamics of midbrain dopamine neuron firing in vivo
The influence of subthreshold membrane potential oscillations and GABAergic input on firing activity in striatal fast-spiking neurons
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Two-dimensional high-throughput on-cell screening of immunoglobulins against broad antigen repertoires
Selective Firing and Lemons
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Unions, Firing Costs and Unemployment
Firing-rate models for neurons with a broad repertoire of spiking behaviors
Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding
Severance pay mandates: Firing costs, hiring costs, and firm avoidance behaviors
Severance Pay Mandates: Firing Costs, Hiring Costs, and Firm Avoidance Behaviors
Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets
Subthreshold repertoire and threshold dynamics of midbrain dopamine neuron firing in vivo
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Two-dimensional high-throughput on-cell screening of immunoglobulins against broad antigen repertoires
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SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo