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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1st Annual Aspen Conference on Pediatric Cerebrovascular Disease and Stroke
July 16-20, 2018; Snowmass Village, CO
2018 Neurosafe Symposium
August 2-3, 2018; Minneapolis
2018 Tennessee Neurological Society Annual Meeting
August 3-4, 2018; Franklin, TN
2018 From Cranial to Spine: An Overview of Neurological Topics for the Advanced Practice Provider
August 8-11, 2018; Los Angeles
2018 Managing Coding and Reimbursement Challenges
August 9-11, 2018; Chicago
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