The super-learning hypothesis: integrating learning processes across cortex, cerebellum and basal ganglia

Research output: Contribution to journalReview article

Authors

  • Daniele Caligiore
  • Chris Miall
  • Michael Arbib
  • Gianluca Baldassarre

Abstract

Despite wide evidence suggesting anatomical and functional interactions between cortex, cerebellum and basal ganglia, the learning processes operating within them --often viewed as respectively unsupervised, supervised and reinforcement learning-- are studied in isolation, neglecting their strong interdependence. We discuss how those brain areas form a highly integrated system combining different learning mechanisms into an effective super-learning process supporting the acquisition of flexible motor behaviour. The term “super-learning” does not indicate a new learning paradigm. Rather, it refers to the fact that different learning mechanisms act in synergy as they: (a) affect neural structures often relying on the widespread action of neuromodulators; (b) act within various stages of cortical/subcortical pathways that are organised in pipeline to support multiple sensation-to-action mappings operating at different levels of abstraction; (c) interact through the reciprocal influence of the output compartments of different brain structures, most notably in the cerebello-cortical and basal ganglia-cortical loops. Here we articulate this new hypothesis and discuss empirical evidence supporting it by specifically referring to motor adaptation and sequence learning.

Details

Original languageEnglish
Pages (from-to)19-34
Number of pages16
JournalNeuroscience and biobehavioral reviews
Volume100
Early online date18 Feb 2019
Publication statusPublished - 1 May 2019

Keywords

  • Acetylcholine, Basal ganglia, Cerebellum, Cortex, Cortical-subcortical hierarchies, Dopamine, Interplay between learning mechanisms, Neuromodulation, Noradrenaline, Reinforcement learning, Serotonin, Super-learning, Supervised learning, System-level neuroscience, Unsupervised learning