Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.
- Published in:
- Journal of Computational Neuroscience, 2015, v. 39, n. 3, p. 255, doi. 10.1007/s10827-015-0575-3
- By:
- Publication type:
- Article
Works matching IS 09295313 AND DT 2015 AND VI 39 AND IP 3
Results: 7
1
2
Dissecting estimation of conductances in subthreshold regimes.
- Published in:
- Journal of Computational Neuroscience, 2015, v. 39, n. 3, p. 271, doi. 10.1007/s10827-015-0576-2
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- Publication type:
- Article
3
Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus.
- Published in:
- Journal of Computational Neuroscience, 2015, v. 39, n. 3, p. 289, doi. 10.1007/s10827-015-0577-1
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- Publication type:
- Article
4
Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity.
- Published in:
- Journal of Computational Neuroscience, 2015, v. 39, n. 3, p. 329, doi. 10.1007/s10827-015-0579-z
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- Publication type:
- Article
5
Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity.
- Published in:
- Journal of Computational Neuroscience, 2015, v. 39, n. 3, p. 311, doi. 10.1007/s10827-015-0578-0
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- Publication type:
- Article
6
Information filtering in resonant neurons.
- Published in:
- Journal of Computational Neuroscience, 2015, v. 39, n. 3, p. 349, doi. 10.1007/s10827-015-0580-6
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- Publication type:
- Article
7
Networks that learn the precise timing of event sequences.
- Published in:
- Journal of Computational Neuroscience, 2015, v. 39, n. 3, p. 235, doi. 10.1007/s10827-015-0574-4
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- Publication type:
- Article