Population density methods for stochastic neurons with realistic synaptic kinetics: Firing rate dynamics and fast computational methods-Reference-Cited by-同舟云学术

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Population density methods for stochastic neurons with realistic synaptic kinetics: Firing rate dynamics and fast computational methods

Published:2006-01 Issue:4 Volume:17 Page:373-418
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Apfaltrer Felix¹²,Ly Cheng¹,Tranchina Daniel³

Affiliation:

1. Courant Institute of Mathematical Sciences, New York University, New York, NY, 10012, USA

2. Department of Mathematics, City University of New York–BMCC, New York, NY, 10007, USA

3. Department of Biology, Courant Institute of Mathematical Sciences, Center for Neural Science, New York University, New York, NY, 10003, USA

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/09548980601069787

Reference46 articles.

1. Asynchronous states in networks of pulse-coupled oscillators

2. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex

3. On the Phase Reduction and Response Dynamics of Neural Oscillator Populations

4. Effects of Synaptic Noise and Filtering on the Frequency Response of Spiking Neurons

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