Additionally, he is a Simons Foundation Investigator. McDonnell Foundation award in Understanding Human Cognition, and the Sloan Research Fellowship.
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Connect directly to PLCs, OPC servers, files, databases, Linux and Windows devices as well as IoT platforms to create world-class SCADA systems or industrial. He is a recipient of an NSF Career Award, the James S. The Open Automation Universal Data Connector gives you unparalleled access to your industrial operations and enterprise data for connectivity, monitoring, analytics, and delivery. He received his AB and PhD degrees from Harvard University, was a postdoctoral researcher at MIT, and has been a visiting researcher at Princeton University and Los Alamos National Laboratory. He is especially interested in how brain circuits for sensory information processing and decision-making arise by optimizing high-performing cortical algorithms for key behavioral tasks. His research group focuses on reverse engineering the algorithms of the human brain to learn how our minds work and build more effective artificial intelligence systems. Yamins is a cognitive computational neuroscientist at Stanford University, an assistant professor of Psychology and Computer Science, a faculty scholar at the Wu Tsai Neurosciences Institute, and an affiliate of the Stanford Artificial Intelligence Laboratory. Taken together, these ideas illustrate how neural networks optimized to solve cognitively-informed tasks provide a unified framework for both understanding the brain and improving AI.īio: Dr. In the direction of "neuroscience guiding AI", I will present a novel cognitively-grounded computational theory of perception that generates robust new learning algorithms for real-world scene understanding. Towards "AI driving neuroscience", I will discuss a new candidate universal principal for functional organization in the brain, based on recent advances in self-supervised learning, that explains both fine details as well as large-scale organizational structure in the vision system, and perhaps beyond. In this talk, I will show that the connection between neuroscience and AI can be fruitful in both directions. Computationally-Enabled Integrative Neuroscience ProgramĪbstract: The emerging field of NeuroAI has leveraged techniques from artificial intelligence to model brain data.
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