Notes on the Shannon Entropy of the Neural Response
| dc.date.accessioned | 2009-10-13T12:31:06Z | |
| dc.date.accessioned | 2018-11-26T22:26:07Z | |
| dc.date.available | 2009-10-13T12:31:06Z | |
| dc.date.available | 2018-11-26T22:26:07Z | |
| dc.date.issued | 2009-10-09 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/49425 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/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.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 |
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| MIT-CSAIL-TR-2009-049.pdf | 245.8Kb | application/pdf | View/ |
| MIT-CSAIL-TR-2009-049.ps | 695.7Kb | application/postscript | View/ |