Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks
Abstract The architecture design and multi-scale learning principles of the human brain that evolved over hundreds of millions of years are crucial to realizing human-like intelligence. Spiking neural network based Liquid State Machine (LSM) serves as a suitable architecture to study brain-inspired...
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Nature Portfolio
2023-10-01
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| Sarja: | Scientific Reports |
| Linkit: | https://doi.org/10.1038/s41598-023-43488-x |