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Evolutionary learning in neural networks by heterosynaptic plasticity
Summary: Training biophysical neuron models provides insights into brain circuits’ organization and problem-solving capabilities. Traditional training methods like backpropagation face challenges with complex models due to instability and gradient issues. We explore evolutionary algorithms (EAs) com...
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| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2025-05-01
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| Serie: | iScience |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S2589004225006017 |
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