Prediction details
Each row in the following table shows the accuracy of predictions by an algorithm for individual cells in the data set. "Overall best CC" indicates the performance of the current best algorithm for that cell.
3. V1 Natural Image Sequences - List cells - All predictions - My predictions - Download data set - Submit prediction!| Algorithm: | LeCunning v4.0 |
| User: | pmineault |
| Notes: | Convolutional neural network-style model for center-surround magic, fit greedily layer by layer. Version 4 uses stimuli which were manually recentered and rescaled, and should edge out the previous versions barely; the method is somewhat sensitive to proper centering and scaling of the RF. |
| Eval'd on: | 2011-03-16 22:20:54 (Prediction evaluated successfully) |
| Cell ID | My CC | Overall Best CC | |
| e0008 | 0.674 | 0.717 | |
| e0012 | 0.269 | 0.352 | |
| r0212b | 0.198 | 0.223 | |
| r0221a | 0.370 | 0.463 | |
| r0225c | 0.258 | 0.256 | |
| r0260 | 0.586 | 0.605 | |
| r0279 | 0.575 | 0.614 | |
| r0284 | 0.661 | 0.672 | |
| r0301 | 0.729 | 0.736 | |
| r0305 | 0.593 | 0.695 |
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