Connectome study details how cerebellum-like circuit fine-tunes sensory prediction
Researchers modeled a cerebellum-like neural circuit to examine how a class of interneurons, called MG cells, influence the ability of ON and OFF output neurons to cancel predictable self-generated sensory signals, using an electric organ discharge mimic as the test stimulus. They found that the selectivity of synaptic connections—whether MG cells act mainly on broad spikes versus equally on broad and narrow spikes—determines whether these cells help or hinder the cancellation process.