Exploring Spatially Embedded Artificial Neural Networks
author:
Patricia Vargas,
University of Sussex
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| Slides | |
| 0:01 | Ezequiel Di Paolo Phil Husbands Michael O’Shea |
| 1:33 | “the role of space within GasNet models” |
| 2:10 | GasNet models |
| 2:11 | Biological Inspiration |
| 3:28 | Biological Inspiration |
| 4:01 | GasNet Models x Classical ANN |
| 6:16 | Original Model |
| 6:50 | Original Model |
| 7:13 | Original Model |
| 7:38 | Original Model |
| 8:16 | Original Model |
| 8:27 | Plexus Model |
| 9:13 | Receptor Model |
| 10:04 | Gas concentration - Original & Plexus |
| 10:46 | Point to Point Model |
| 12:07 | Experiments |
| 12:15 | GasNet models |
| 13:17 | GasNet models |
| 14:32 | GasNet models |
| 15:57 | GasNet models |
| 17:28 | GasNet models |
| 17:56 | GasNet models |
| 21:21 | GasNet models |
| 22:18 | GasNet models |
| 22:52 | GasNet models |
| 23:15 | GasNet models |
| 24:40 | GasNet models |
| 30:35 | GasNet models |
| 31:08 | GasNet models |
| 31:51 | GasNet models |
| 35:20 | GasNet models |
| 36:00 | GasNet models |
| 36:21 | GasNet models |
| 37:10 | Conclusion |
| 37:33 | Discussion |
| 38:50 | Further investigations… |
| 41:43 | Contact and further information |
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