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Input strength and time-varying oscillation peak frequency (Cohen MX 2014)
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The purpose of this paper is to argue that a single neural functional principle—temporal fluctuations in oscillation peak frequency (“frequency sliding”)—can be used as a common analysis approach to bridge multiple scales within neuroscience. The code provided here recreates the network models used to demonstrate changes in peak oscillation frequency as a function of static and time-varying input strength, and also shows how correlated frequency sliding can be used to identify functional connectivity between two networks.
Cohen MX (2014) Fluctuations in oscillation frequency control spike timing and coordinate neural networks.
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Abstract Izhikevich neuron;
Abstract integrate-and-fire adaptive exponential (AdEx) neuron;
Cohen, Michael X [mikexcohen at gmail.com];
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