We developed a model of sensory and motor neocortex consisting
of 704 spiking model-neurons. Sensory and motor populations included excitatory cells
and two types of interneurons. Neurons were interconnected with AMPA/NMDA, and
GABAA synapses. We trained our model using spike-timing-dependent reinforcement
learning to control a 2-joint virtual arm to reach to a fixed target.
Neymotin SA, Chadderdon GL, Kerr CC, Francis JT, Lytton WW (2013) Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex. Neural Comput 25:3263-93 [PubMed]