Name
Abstract | ||
|---|---|---|
We develop a new simple estimator of the spike timing mutual information between a set of static or dynamic stimuli and the elicited spike trains. Unlike the standard direct procedure (which provides upward-biased information estimation), this new method provides a downward biased (DB) estimator. Therefore, by using this new estimator in conjunction with the direct one it is possible to bound from both above and below the true asymptotic value of the mutual information. The downward bias property of the new method is useful in neurophysiological studies of neural codes because a finding of significant extra information in spike timing obtained with this new method will ensure that this additional spike timing information is genuine and not an artefact due to sampling problems. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.neucom.2006.10.113 | Neurocomputing |
Keywords | Field | DocType |
additional spike timing information,mutual information,new estimator,downward bias property,elicited spike train,upward-biased information estimation,new method,new simple estimator,spike timing,significant extra information,bias,information theory,neural code | Information theory,Neurophysiology,Computer science,Neural coding,Bias of an estimator,Mutual information,Artificial intelligence,Sampling (statistics),Machine learning,Estimator | Journal |
Volume | Issue | ISSN |
70 | 10-12 | Neurocomputing |
Citations | PageRank | References |
1 | 0.37 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcelo A. Montemurro | 1 | 182 | 19.95 |
| Riccardo Senatore | 2 | 6 | 0.84 |
| Stefano Panzeri | 3 | 404 | 62.09 |