# Category Archives: Network analysis

## The basis of feature spaces in deep networks

In a new article on Distill, Olah et al. write up a very readable and useful summary of methods to look into the black box of deep networks by feature visualization. I had already spent some time with this topic … Continue reading

## Neuroscience on Youtube

Recently, I’ve been to the Basel ICON conference, where the recent Nobel laureate Eric Betzig gave an impressive talk on microscopy techniques (including lattice light sheet, SIM and expansion microscopy). Some days ago, I found a similar talk by Eric … Continue reading

## 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

## 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

## Beyond correlation analysis: mutual information

Last time, I mentioned a website which gives an overview of methods to analyze neuronal (and other) networks. Let’s have a closer look. Here’s a list of the methods: Cross-correlation (the standard method) Mutual Information Incremental Mutual Information Granger Causality … Continue reading