Abstract
AbstractAdvances in artificial intelligence are stimulating interest in neuroscience. However, most attention is given to discrete tasks with simple action spaces, such as board games and classic video games. Less discussed in neuroscience are parallel advances in “synthetic motor control”. While motor neuroscience has recently focused on optimization of single, simple movements, AI has progressed to the generation of rich, diverse motor behaviors across multiple tasks, at humanoid scale. It is becoming clear that specific, well-motivated hierarchical design elements repeatedly arise when engineering these flexible control systems. We review these core principles of hierarchical control, relate them to hierarchy in the nervous system, and highlight research themes that we anticipate will be critical in solving challenges at this disciplinary intersection.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Reference147 articles.
1. York, G. K. & Steinberg, D. A. An introduction to the life and work of John Hughlings Jackson: Introduction, 2006.
2. Tinbergen, N. The study of instinct. 1951.
3. Mogenson, G. J., Jones, D. L. & Yim, C. Y. From motivation to action: functional interface between the limbic system and the motor system. Prog. Neurobiol. 14, 69–97 (1980).
4. Swanson, L. W. Cerebral hemisphere regulation of motivated behavior. Brain, Res, 886, 113–164 (2000).
5. Bernstein, N. A. On the Construction of Movements. Moscow, 1947.
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