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Control of neural systems at multiple scales using model-free, deep reinforcement learning
Recent improvements in hardware and data collection have lowered the barrier to practical neural control. Most of the current contributions to the field have focus on model-based control, however, models of neural systems are quite complex and difficult to design. To circumvent these issues, we adap...
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| Publicado no: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6048054/ https://ncbi.nlm.nih.gov/pubmed/30013195 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-29134-x |
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