Monthly Archives: March 2014

Beyond correlation analysis: Dynamic causal modeling (DCM)

I was surprised to find a method like DCM in Olav Stetter’s list (link) for neural network methods (even as a so-called ‘standard method’), because it differs from those I discussed before. I will now describe why I don’t think … Continue reading

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Beyond correlation analysis: Transfer entropy

When reading through the first informative web pages on transfer entropy, it turns out how closely its concept is related to mutual information, and even closer to incremental mutual information; and, although it’s based on a totally different approach, it tries to … Continue reading

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Beyond correlation analysis: Granger causality

Granger causality has been named after the econometrician Clive Granger and has been adapted in the last 10-15 years as time-series analysis tool for neuroscience. The best account for this topic that I have found, is on scholarpedia again (link). … Continue reading

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Some interesting 2-photon microscopy papers

In the last few months, I built a special kind of 2P-microsope. In the meantime, I encountered some papers on microscope techniques which I found interesting and worth a side-note. Using AODs instead of galvoscanners for point-scanning: High-speed in vivo … Continue reading

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Beyond correlation analysis: incremental mutual information

Incremental Mutual Information: A New Method for Characterizing the Strength and Dynamics of Connections in Neuronal Circuits is a 2010 paper by A. Singh and N. Lesica in PLoS Computational Biology that describes a method which can be used as an … Continue reading

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