Calculating mutual information for spike trains and other data with distances but no coordinates
Many important data types, such as the spike trains recorded from neurons in typical electrophysiological experiments, have a natural notion of distance or similarity between data points, even though there is no obvious coordinate system. Here, a simple Kozachenko–Leonenko estimator is derived for c...
Main Author: | Houghton, Conor |
---|---|
Format: | Online |
Language: | English |
Published: |
The Royal Society Publishing
2015
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453244/ |
Similar Items
-
A dendrogram approach to the structure of spike trains
by: Houghton, Conor
Published: (2011) -
A Simple Algorithm for Averaging Spike Trains
by: Julienne, Hannah, et al.
Published: (2013) -
A metric space approach to the information channel capacity of spike trains
by: Gillespie, James B, et al.
Published: (2011) -
Supervised Learning with Complex Spikes and Spike-Timing-Dependent Plasticity
by: Houghton, Conor
Published: (2014) -
The variation of spike times
by: Houghton, Conor, et al.
Published: (2012)