Dynamic Neuroscience Statistics, Modeling, and Control

“This is a short monograph on the computational neurosciences of single and populations of neurons. … This serves as a reference for advanced engineers and mathematical neurobiologists primarily. Dayan's Theoretical Neuroscience, and Neural Engineering by MIT Press are useful for more background material.

Zhe Chen
is Assistant Professor in the Departments of Psychiatry and Neuroscience and Physiology at New York University School of Medicine, having previously worked at the RIKEN Brain Science Institute, Harvard Medical School, and Massachusetts Institute of Technology. He is a Senior Member of the IEEE, and an editorial board member of
Neural Networks
(Elsevier) and
Journal of Neural Engineering
(IOP). Professor Chen has received a number of awards including the Early Career Award from the Mathematical Biosciences Institute, and has had his work funded by the US National Science Foundation and the National Institutes of Health. He is the lead author of the book
Correlative Learning: A Basis for Brain and Adaptive Systems
(Johns & Wiley, 2007) and the editor of the book
Advanced State Space Methods for Neural and Clinical Data
(Cambridge University Press, 2015).






Sridevi Sarma
is Associate Professor in the Department of Biomedical Engineering at Johns Hopkins University (JHU), having previously worked at Massachusetts Institute of Technology and Harvard Medical School. She is the Associate Director of the Institute for Computational Medicine at JHU. Professor Sarma is a recipient of the GE faculty for the future scholarship, a L'Oreal For Women in Science fellow, the Burroughs Wellcome Fund Careers at the Scientific Interface Award, the Krishna Kumar New Investigator Award from the North American Neuromodulation Society (NANS), and the Presidential Early Career Award for Scientists and Engineers (PECASE).