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Data
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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.
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Abstract Izhikevich neuron Show
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Abstract integrate-and-fire adaptive exponential (AdEx) neuron Show
Other
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Cohen, Michael X [mikexcohen at gmail.com] Show
Other
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adaptive exponential
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Cohen, Michael X [mikexcohen at gmail.com]
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