TBME
IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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Ramin Pashaie
Ramin Pashaie (M’07) received the Ph.D. degree in electrical and systems engineering from the University of Pennsylvania, Philadelphia, PA, USA, in December 2007, under the supervision of Prof. N. H. Farhat.
After Ph.D. degree, he joined Karl A. Deisseroth lab as a Postdoctoral Scholar in the Bioengineering Department at Stanford University. During his postdoctoral training, he focused on technology development for optical modulation of neural activities using the tools of photonics and molecular genetics. In September 2009, he joined the Electrical Engineering Department at the University of Wisconsin-Milwaukee, Milwaukee, WI, USA, as an Assistant Professor and the Director of the Bioinspired Sciences and Technology Laboratory where the research is about optical interrogation of the dynamics of large-scale neural networks mostly in the brain cortical regions. In particular, he is currently interested in the implementation of neuroprosthetic devices to extract details of information processing in cortical networks and the nonlinear dynamics of cortical columns. This information can be used for reverse engineering and realization of brain–machine interface mechanisms.
Dr. Pashaie received the NARSAD (Brain and Behavior Research Foundation) Young Investigator Award in 2013 and the National Science Foundation Career Award in Biophotonics in 2015.
Associated articles
TBME, Featured Articles
Closed-Loop Optogenetic Brain Interface
Ramin Pashaie, Ryan Baumgartner, Thomas Richner, Sarah K. Brodnick, Mehdi Azimipour, Kevin W. Eliceiri, Justin C. Williams
Brain-machine interface (BMI) techniques are developed to implement direct data communication links between the brain and artificial computers. The main objective in using BMI systems is to bypass or compensate possible damages in data processing pathways in the brain or...
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Posted on 29 SEP 2015