| dc.contributor.advisor | Tomaso Poggio | |
| dc.contributor.author | Isik, Leyla | en_US |
| dc.contributor.author | Meyers, Ethan M. | en_US |
| dc.contributor.author | Leibo, Joel Z. | en_US |
| dc.contributor.author | Poggio, Tomaso | en_US |
| dc.contributor.other | Center for Biological and Computational Learning (CBCL) | en_US |
| dc.date.accessioned | 2012-04-26T18:15:04Z | |
| dc.date.available | 2012-04-26T18:15:04Z | |
| dc.date.issued | 2012-04-20 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/70170 | |
| dc.description.abstract | Decoding analysis has been applied to electrophysiology and fMRI data to study the visual system, however, this method has only been applied to MEG visual data in a few instances. Here we use the Neural Decoding Toolbox for Matlab to show that it is possible to decode visual stimuli based on MEG data. | en_US |
| dc.format.extent | 5 p. | en_US |
| dc.relation.ispartofseries | MIT-CSAIL-TR-2012-010 | |
| dc.relation.ispartofseries | CBCL-307 | |
| dc.subject | Vision | en_US |
| dc.subject | Decoding | en_US |
| dc.subject | MEG | en_US |
| dc.title | Preliminary MEG decoding results | en_US |
| dc.language.rfc3066 | en-US | |
