Emergence of reproducible spatiotemporal activity during motor learning

By Andrew J. Peters, Simon X. Chen, Takaki Komiyama. 2014

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Natural continual learning: success is a journey, not (just) a destination (2021, positive): “In the RNNs, we found that the single-unit representations of a given digit changed during learning of the task involving that digit but stabilized after learning, consistent with work in several distinct biological circuits [6, 11, 16, 20, 34].”
Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex. (2017, unknown): “Our results differ from studies in sensory and motor regions that reported no changes or subtle shifts in activity (Margolis et al., 2012; Peron et al., 2015; Peters et al., 2014).”
Shared cortex-cerebellum dynamics in the execution and learning of a motor task (2019, unknown): “NewPerspective onCortico-cerebellar Communication: Shared Dynamics Emerge with Learning Our premotor L5 cortical data are broadly consistent with studies demonstrating that cortical neurons develop more stereotyped task-locked responses during learning (Peters et al., 2014).”
Automated long-term recording and analysis of neural activity in behaving animals (2016, methodology): “Long-term stability of neural dynamics Recording the activity of the same neuronal population over long time periods can be done by means of functional calcium imaging (Huber et al., 2012; Lütcke et al., 2013; Peters et al., 2014).”