Kim Building Lecture Hall, Rm. 1110
For More Information:
301 405 3596
"Neural computation at the femtotesla scale: visualizing computations inside the human brain"
Prof. Jonathan Z. Simon
Determining how neurons encode information in the brain is the single most important issue in sensory neuroscience. Additionally, each area of the brain may use a different coding scheme -- one appropriate to the specific function of that area of the brain. Magnetoencephalography (MEG), which measures external magnetic fields generated by microscopic neural currents inside the brain, is a non-invasive tool that can record neural activity from many areas of the human brain simultaneously. The MEG signal is a linear mixture of signals generated by all the neural sources in the entire brain, however, and so substantial signal processing is required to extract the specific neural signals of interest. Interesting and important examples will be shown. Finally, I will demonstrate how MEG has been be used to determine specific neural coding schemes, used in the human brain, for encoding auditory stimulus features crucial to speech perception. These neural coding methods include phase modulation and single sideband modulation.
Jonathan Z. Simon is an Assistant Professor at the University of Maryland College Park, jointly between the Department of Electrical and Computer Engineering and the Department of Biology. He is also a member of the Programs in Neuroscience and Cognitive Science (NACS) and Bioengineering, and an affiliate member of the Institute for Systems Research. His expertise is applied and theoretical neuroscience, especially of auditory computations. He earned his doctorate in physics from the University of California, Santa Barbara, and performed postdoctoral research in theoretical general relativity (University of Wisconsin-Milwaukee, and University of Maryland-College Park) before embracing the field of neuroscience.
For more information, visit: http://www.isr.umd.edu/Labs/CSSL/simonlab/
This Event is For: Clark School