The Intelligence Revolution: Coupling AI and the Human Brain.
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Edward Boyden is a Hertz Foundation Fellow and recipient of the prestigious Hertz Foundation Grant for graduate study in the applications of the physical, biological and engineering sciences. A professor of Biological Engineering and Brain and Cognitive Sciences at MIT, Edward Boyden explains how humanity is only at its infancy in merging with machines. His work is leading him towards the development of a “brain co-processor”, a device that interacts intimately with the brain to upload and download information to and from it, augmenting human capabilities in memory storage, decision making, and cognition. The first step, however, is understanding the brain on a much deeper level. With the support of the Fannie and John Hertz Foundation, Ed Boyden pursued a PhD in neurosciences from Stanford University.
EDWARD BOYDEN:
Edward Boyden is a professor of Biological Engineering and Brain and Cognitive Sciences at the MIT Media Lab and the McGovern Institute for Brain Research at MIT. He leads the Media Lab’s Synthetic Neurobiology group, which develops tools for analyzing and repairing complex biological systems, such as the brain, and applies them systematically both to reveal ground truth principles of biological function and to repair these systems.
These technologies, often created in interdisciplinary collaborations, include expansion microscopy (which enables complex biological systems to be imaged with nanoscale precision) optogenetic tools (which enable the activation and silencing of neural activity with light,) and optical, nanofabricated, and robotic interfaces (which enable recording and control of neural dynamics).
Boyden has launched an award-winning series of classes at MIT, which teach principles of neuroengineering, starting with the basic principles of how to control and observe neural functions, and culminating with strategies for launching companies in the nascent neurotechnology space. He also co-directs the MIT Center for Neurobiological Engineering, which aims to develop new tools to accelerate neuroscience progress.







