# A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses

@article{Nykamp2001APD, title={A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses}, author={Duane Q. Nykamp and Daniel Tranchina}, journal={Neural Computation}, year={2001}, volume={13}, pages={511-546} }

- Published in Neural Computation 2001
DOI:10.1162/089976601300014448

A previously developed method for efficiently simulating complex networks of integrate-and-fire neurons was specialized to the case in which the neurons have fast unitary postsynaptic conductances. However, inhibitory synaptic conductances are often slower than excitatory ones for cortical neurons, and this difference can have a profound effect on network dynamics that cannot be captured with neurons that have only fast synapses. We thus extend the model to include slow inhibitory synapses. In… CONTINUE READING