Dynamic Neuroscience: Statistics, Modeling, and Control - Couverture souple

Couverture souple

ISBN 10 : 3030101398 ISBN 13 : 9783030101398

Editeur : Springer, 2019

Synopsis

Presents innovative methodological and algorithmic development in statistics, modeling, control, and signal processing for neural data analysis
Includes a coherent framework for a broad class of neural signal processing and control problems in neuroscience
Covers a wide range of representative case studies in neuroscience applications

A propos du livre

À propos de l'auteur

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).

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 3030101398
• ISBN 13: 9783030101398
• Reliure: Broché
• Nombre de pages: 352
• Éditeur: Chen Zhe, Sarma Sridevi V.
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne