PRINCETON, NJ (PRWEB) May 11, 2021 Scholarly publishing technology provider, HighWire, is pleased to announce that the Society for Neuroscience (SfN) has
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IMAGE: The study reported the similar properties between deep neural networks for predicting attention and the primary visual cortex (V1) of primates. view more
Credit: Nobuhiko Wagatsuma
This discovery was made possible by applying the research method for the comparison of the brain activity between monkeys and humans to artificial neural networks. This finding might be helpful not only to understand the cortical mechanism of attentional selection but also to develop artificial intelligence.
Deep neural networks (DNNs), which are used in the development of artificial intelligence, are mathematical models for obtaining appropriate mechanisms to solve specific problems from the training with a large-scale dataset. However, the detailed mechanisms underlying DNNs through this learning process have not yet been clarified.
Sleep-Specific Characteristics Supporting Development, Learning, Memory, and Cognition Across Ages and Species
Scientific Panel: Monday, January 11, 2:15-3:30 p.m. EST
Press-Exclusive Q&A: Monday, January 11, 4-4:30 p.m. EST
Presenters: Gina Poe, University of California, Los Angeles; Mark S. Blumberg, University of Iowa; and Lisa Marshall, University of Lübeck
Scientists know sleep is essential for development, learning, and cognition, but they don t yet know how or why. This panel will explore the latest discoveries about the states and features of sleep that connect and reshape the nervous system in ways that being awake cannot.
Why Pain Matters
Press-Exclusive Q&A: Wednesday, January 13, 11:45 a.m.-12:15 p.m. EST