The Society for Neuroscience (SfN) announced today that it has awarded the Swartz Prize for Theoretical and Computational Neuroscience to Emery Brown, the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience at MIT, co-director of HST and associate director of the MIT Institute for Medical Engineering and Science (IMES).
Ten years after the Hammond report recommended ways to increase faculty diversity at MIT, little has changed. This article about the history of diversity efforts at MIT first appeared in MIT Technology Review magazine.
Nicolas Meirhaeghe, an HST MEMP student, left; Quique Toloza, an MD-PhD student in the HST MD program and MIT Physics PhD program, right; are part of the 20 McGovern Rising Stars — each from one of 20 labs — who are deemed to represent the future of neuroscience.
The 20 McGovern “rising stars," each from one of 20 labs — include two HST students — who are deemed to represent the future of neuroscience.
With electrodes strapped to two fingers, researchers can read out changes in skin conductance produced by sweat. These fluctuations reflect subconscious changes in physical or emotional state. A new statistical method of analyzing the resulting signal is faster and more accurate than previous methods because it is based on the physiology of sweat.
By accounting for sweat physiology, research by an HST faculty director and a MEMP PhD student show a method that can make better use of electrodermal activity (EDA) for tracking subconscious changes in physical or emotional state.
MIT researchers have greatly boosted the amount of information that can be obtained using Seq-Well, a technique for rapidly sequencing RNA from single cells. This advance should enable scientists to learn much more about the critical genes that are expressed in each cell, and help them to discover subtle differences between healthy and dysfunctional cells for designing new preventions and cures. This image illustrates the improved resolution, right, using the new technique.
Boosting the efficiency of single-cell RNA-sequencing helps reveal subtle differences between healthy and dysfunctional cells. MIT researchers, including an HST faculty member and an HST student, have now greatly boosted the amount of information gleaned from each of those cells, by modifying the commonly used Seq-Well technique.