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.
Kranzler Chicago Review Course in Neurosurgery
Jan. 24-31, 2020; Chicago
46th Annual Richard Lende Winter Neurosurgery Conference
Jan. 31-Feb. 3, 2020; Snowbird, Utah
Third Annual Cedars Sinai Intracranial Hypotension Symposium
Feb. 8, 2020; Los Angeles
2020 Managing Coding and Reimbursement Challenges
Feb. 14-16, 2020; Las Vegas
13th Annual International Symposium on Stereotactic Body Radiation Therapy and Stereotactic Radiosurgery
Feb. 21-23, 2020; Lake Buena Vista, Fla.
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