Ed Boyden, MIT | Towards Accurate Computer Simulations of The Brain
Foresight Institute’s Neurotech Group
Towards Accurate Computer Simulations of The Brain
Bio: Ed Boyden is Y. Eva Tan Professor in Neurotechnology at MIT, an investigator of the Howard Hughes Medical Institute and the MIT McGovern Institute and Yang Tan Collective, and professor of Brain and Cognitive Sciences, Media Arts and Sciences, and Biological Engineering at MIT. He leads the Synthetic Neurobiology Group, which develops ground truth-oriented tools for analyzing and repairing the brain, and applies them systematically to reveal fundamental mechanisms underlying brain functions, as well as to repair the brain. One ultimate goal of the group is to create biologically accurate computer simulations of entire brains, starting with small brains like those of worms and fish, and ultimately pointing towards the human brain.
Abstract: Analyzing, repairing, and simulating complex biological systems, such as the brain, require tools for systematically mapping, dynamically observing, and dynamically controlling these systems. We are discovering new molecular principles to enable such technologies. For example, we discovered that one can physically magnify biological specimens by synthesizing dense networks of swellable polymer throughout them, and then chemically processing the specimens to isotropically swell them. This method, which we call expansion microscopy, enables ordinary microscopes to do nanoimaging – important for mapping molecules throughout cells, tissues, and organs. As a second example, we serendipitously discovered that microbial rhodopsins, genetically expressed in neurons, could enable their electrical activity to be precisely controlled in response to light. These molecules, now called optogenetic tools, enable causal assessment of how neurons contribute to behaviors and pathological states, and are yielding new candidate treatment strategies for brain diseases. Finally, we are developing, using new strategies such as robotic directed evolution, fluorescent reporters that enable the precision measurement of signals such as voltage. In order to reveal relationships between different molecular signals within a cell, we are developing spatial and temporal multiplexing strategies that enable many such signals to be imaged at once in the same living cell. We design all our tools to be easy to use, and we share all our tools as freely as possible. Scientifically, we are focusing on the integrated application of these tools to collect ground truth-oriented data for entire nervous systems, starting with C. elegans and the larval zebrafish, and for the investigation of brain aging, with the goal of creating biologically accurate computer simulations of such systems.
Webpage: http://syntheticneurobiology.org/
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