| dc.contributor.advisor | Tomaso Poggio | |
| dc.contributor.author | Shakhnarovich, Greg | en_US |
| dc.contributor.author | Bouvrie, Jake | en_US |
| dc.contributor.author | Rosasco, Lorenzo | en_US |
| dc.contributor.author | Smale, Steve | en_US |
| dc.contributor.other | Center for Biological and Computational Learning (CBCL) | en_US |
| dc.date.accessioned | 2009-10-13T12:31:06Z | |
| dc.date.available | 2009-10-13T12:31:06Z | |
| dc.date.issued | 2009-10-09 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/49425 | |
| dc.description.abstract | In these notes we focus on the concept of Shannon entropy in an attempt to provide a systematic way of assessing the discrimination properties of the neural response, and quantifying the role played by the number of layers and the number of templates. | en_US |
| dc.format.extent | 6 p. | en_US |
| dc.relation.ispartofseries | CBCL-281 | |
| dc.relation.ispartofseries | MIT-CSAIL-TR-2009-049 | |
| dc.subject | computer vision | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | neuroscience | en_US |
| dc.subject | computation | en_US |
| dc.title | Notes on the Shannon Entropy of the Neural Response | en_US |
