The CTCN Annual Public Lecture on Minds and Machines

May 17, 2024 at 5 p.m.

Brains and AI

Terrence Sejnowski, PhD
Professor and Laboratory Head
Computational Neurobiology Laboratory
Francis Crick Chair
Salk Institute for Biological Studies

Prof. Sejnowski was recently awarded the 2024 Brain Prize from the Lundbeck Foundation — the largest and most prestigious award in the field of neuroscience.

Friday, May 17 2024 at 5 p.m.

Eric P. Newman Education Center
Washington University School of Medicine
320 S. Euclid Ave
St. Louis, MO 63110

See information and map for parking and Metrolink »

This event is free. Register below to reserve your spot.

The Center for Theoretical and Computational Neuroscience at WashU is delighted to present its inaugural annual public lecture on Minds and Machines. In this lecture, each year a leading researcher working at the interface of neuroscience and artificial intelligence will present their perspective on the most exciting recent developments at this interface, and what the future holds.

The CTCN is thrilled that Prof Terry Sejnowski has agreed to be the inaugural lecturer. Prof Sejnowski is a pioneering figure in computational neuroscience, recognized for his extensive contributions to both understanding the brain and advancing the field of artificial intelligence (AI). As the Francis Crick Professor at the Salk Institute for Biological Studies and a Distinguished Professor at the University of California, San Diego, he has been at the forefront of merging biological insights with computational models to unlock the mysteries of neural networks and brain function. Sejnowski’s work has significantly impacted our understanding of how the brain learns and processes information, leading to groundbreaking developments in neural network algorithms and machine learning techniques. His research has facilitated advances in AI, including deep learning, which mimics the way the human brain operates.

Among his accolades, Sejnowski is a member of the National Academy of Sciences, the National Academy of Engineering, and the National Academy of Medicine, making him one of a select group of scientists honored by all three national academies. He has published over 500 scientific papers and co-authored several influential books on neural networks and computational neuroscience. He has also engaged extensively with the pubic, and his popular Coursera course “Learning how to learn” has reached over 4 million people.

2024 CTCN Annual Public Lecture Registration

2024 CTCN Annual Public Lecture Registration

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