[HTML][HTML] Entropy factor for randomness quantification in neuronal data
K Rajdl, P Lansky, L Kostal - Neural Networks, 2017 - Elsevier
A novel measure of neural spike train randomness, an entropy factor, is proposed. It is
based on the Shannon entropy of the number of spikes in a time window and can be seen …
based on the Shannon entropy of the number of spikes in a time window and can be seen …
[PDF][PDF] Bibliographic entry
MBK Rajdl - is.muni.cz
This thesis consists of two main parts. In the first part, we briefly present the mathematical
theory and tools used in the text and an introduction to neural modeling. The second part …
theory and tools used in the text and an introduction to neural modeling. The second part …