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.
2019 AANS/CNS Section on Pediatric Neurological Surgery Annual Meeting
Dec. 5-8, 2019; Scottsdale, Ariz.
Dec. 5-8, 2019; Mumbai, India
Miami Brain Symposium, Third Annual
Dec. 6, 2019; Miami
Surgical Spine Care: Removing Barriers to Patient Access, an ISASS Symposium
Dec. 6-7, 2019; New York
Georgia Neurosurgical Society Annual Fall Scientific Symposium
Dec. 6-7, 2019; Greensboro, Ga.
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