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. Author manuscript; available in PMC: 2020 Jul 7.
Published in final edited form as: Curr Biol. 2019 Oct 17;29(21):3551–3562.e7. doi: 10.1016/j.cub.2019.08.052

Figure 6: A sophisticated algorithm for adaptive regulation of motor variability.

Figure 6:

Proposed algorithm implemented by the brain to actively regulate motor variability. This algorithm comprises two processes that operate over different timescales. A fast reward-dependent process (red) integrates the outcome of recent trials to generate an estimate of the reward rate that in turn determines levels of exploratory variability via the variability control function. A slower process (green) tunes the gain of the reward-dependent process over several sessions based on the uncertainty of the reward landscape. See also Figure S6.