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What Can Artificial Brains Teach Us About the Real Ones?

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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.

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AANS Neurosurgeon is the official socioeconomic publication of the American Association of Neurological Surgeons (AANS) and features information and analysis for contemporary neurosurgical practice. Published monthly online, AANS Neurosurgeon focuses on issues related to neurosurgery legislation, the workforce and practice management.