A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses
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Publication:4814210
DOI10.1162/089976601300014448zbMath1052.92016OpenAlexW2150847496WikidataQ47894611 ScholiaQ47894611MaRDI QIDQ4814210
Daniel Tranchina, Duane Q. Nykamp
Publication date: 7 September 2004
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/089976601300014448
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Neural biology (92C20)
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Cites Work
- Collective synchronization of pulse-coupled oscillators and excitable units
- A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application in orientation tuning
- On the simulation of large populations of neurons.
- A model for feature linking via collective oscillations in the primary visual cortex
- Mean-field analysis of neuronal spike dynamics
- The Slow Passage through a Hopf Bifurcation: Delay, Memory Effects, and Resonance
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