The advantage of flexible neuronal tunings in neural network models for motor learning

Article English OPEN
Marongelli, Ellisha N. ; Thoroughman, Kurt A. (2013)
  • Publisher: Frontiers Media S.A.
  • Journal: Frontiers in Computational Neuroscience, volume 7 (issn: 1662-5188, eissn: 1662-5188)
  • Related identifiers: doi: 10.3389/fncom.2013.00100/full, doi: 10.3389/fncom.2013.00100, pmc: PMC3719014
  • Subject: Hypothesis and Theory Article | motor adaptation | Neurosciences. Biological psychiatry. Neuropsychiatry | generalization | Neuroscience | RC321-571 | computational neuroscience | motor control | neural network

Human motor adaptation to novel environments is often modeled by a basis function network that transforms desired movement properties into estimated forces. This network employs a layer of nodes that have fixed broad tunings that generalize across the input domain. Lear... View more