Intrinsic Cellular Properties and Connectivity Density Determine Variable Clustering Patterns in Randomly Connected Inhibitory Neural Networks

Abstract

The plethora of inhibitory interneurons in the hippocampus and cortex play a pivotal role in generating rhythmic activity by clustering and synchronizing cell firing. Results of our simulations demonstrate that both the intrinsic cellular properties of neurons and the degree of network connectivity affect the characteristics of clustered dynamics exhibited… (More)
DOI: 10.3389/fncir.2016.00082

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Cite this paper

@inproceedings{Rich2016IntrinsicCP, title={Intrinsic Cellular Properties and Connectivity Density Determine Variable Clustering Patterns in Randomly Connected Inhibitory Neural Networks}, author={Scott Rich and Victoria Booth and Michal Zochowski}, booktitle={Front. Neural Circuits}, year={2016} }