Decoding the Brain's Learning Machine
In studies with monkeys, Johns Hopkins researchers report that they have uncovered significant new details about how the cerebellum — the “learning machine” of the mammalian brain — makes predictions and learns from its mistakes, helping us execute complex motor actions such as accurately shooting a basketball into a net or focusing your eyes on an object across the room.
The investigators provide a better understanding of why degenerative diseases that affect the cerebellum cause people to lose control of their movements. Their results demonstrate that the cerebellum is organized in a very different way than current designs of artificial neural networks, which are currently used in machine learning and artificial intelligence.
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14th International Conference on Neurology, Neuroscience and Neuromuscular Disorders
June 17-18, 2019; Tokyo
CARS 2019 Computer Assisted Radiology and Surgery
June 18-21, 2019; Rennes, France
18th Meeting of WSSFN
June 24-27, 2019; New York
International Summer School Transnasal Endoscopic Surgery: From Sinuses to Skull Base
June 24-28, 2019; Brescia, Italy
The Society of University Neurosurgeons Annual Meeting
June 26-30, 2019; Dubrovnik, Croatia