What Can Artificial Brains Teach Us About the Real Ones?
Systems neuroscience seeks explanations for how the brain implements a wide variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to design computational systems based on the tasks they will have to solve. In the case of artificial neural networks, the three components specified by design are the objective functions, the learning rules, and architectures. With the growing success of deep learning, which utilizes brain-inspired architectures, these three designed components have increasingly become central to how we model, engineer and optimize complex artificial learning systems.
2020 Winter Clinics for Cranial & Spinal Surgery
Feb. 23-27, 2020; Snowmass Village, Colo.
71st Annual Meeting of the Southern Neurosurgical Society
Feb. 26-29, 2020; Richmond, Va.
3rd Annual Mayo Clinic Advances and Innovations in Complex Neuroscience Patient Care: Brain and Spine 2020
Feb. 27-29, 2020; Sedona, Ariz.
Multidisciplinary Neuro-Oncology Symposium: Updates in Medical and Surgical Management of Brain Tumors
March 6-7, 2020; Orlando, Fla.
5th Annual Safety in Spine Surgery Summit
March 12-13, 2020; New York
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