Computational model
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
arm1d [373454]
"Sensorimotor control has traditionally been considered from a control theory perspective, without relation to neurobiology. In contrast, here we utilized a spiking-neuron model of motor cortex and trained it to perform a simple movement task, which consisted of rotating a single-joint “forearm” to a target. Learning was based on a reinforcement mechanism analogous to that of the dopamine system. This provided a global reward or punishment signal in response to decreasing or increasing distance from hand to target, respectively. Output was partially driven by Poisson motor babbling, creating stochastic movements that could then be shaped by learning. The virtual forearm consisted of a single segment rotated around an elbow joint, controlled by flexor and extensor muscles. ..."
  • Neocortex fast spiking (FS) interneuron Show Other
  • Neocortex spiking regular (RS) neuron Show Other
  • Neocortex spiking low threshold (LTS) neuron Show Other
  • Chadderdon GL, Neymotin SA, Kerr CC, Lytton WW (2012) Show Other
  • Neymotin, Sam [Samuel.Neymotin at] Show Other
  • Chadderdon, George [gchadder3 at] Show Other
Other categories referring to Reinforcement learning of targeted movement (Chadderdon et al. 2012)
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