The geometry of robustness in spiking neural networks
Neural systems are remarkably robust against various perturbations, a phenomenon that still requires a clear explanation. Here, we graphically illustrate how neural networks can become robust. We study spiking networks that generate low-dimensional representations, and we show that the neurons’ subt...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2022-05-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/73276 |