Control of neural systems at multiple scales using model-free, deep reinforcement learning

Abstract 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...

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Autores principales: B. A. Mitchell, L. R. Petzold
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/912bcbee82b946038c3664f0651695fa
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