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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048054/ https://www.ncbi.nlm.nih.gov/pubmed/30013195 http://dx.doi.org/10.1038/s41598-018-29134-x |