Restoring lost cognitive function

Theodore W. Berger, Ashish Ahuja, Spiros H. Courellis, Samuel A. Deadwyler, Gopal Erinjippurath, Gregory A. Gerhardt, Ghassan Gholmieh, John J. Granacki, Robert Hampson, Min Chi Hsaio, Jeffrey LaCoss, Vasilis Z. Marmarelis, Patrick Nasiatka, Vijay Srinivasan, Dong Song, Armand R. Tanguay, Jack Wills

Research output: Contribution to journalReview articlepeer-review

130 Scopus citations
Original languageEnglish
Pages (from-to)30-44
Number of pages15
JournalIEEE Engineering in Medicine and Biology Magazine
Volume24
Issue number5
DOIs
StatePublished - Sep 2005

Bibliographical note

Funding Information:
Vasilis Z. Marmarelis received his diplo-ma in electrical engineering and mechani-cal engineering from the National Technical University of Athens in 1972 and the M.S. and Ph.D. degrees in engi-neering science (information science and bioinformation systems) from the California Institute of Technology, Pasadena, in 1973 and 1976, respectively. After two years of postdoctoral work at the California Institute of Technology, he joined the faculty of biomedical and electrical engineering at the University of Southern California, Los Angeles, where he is currently Professor and Director of the Biomedical Simulations Resource, funded by the National Institutes of Health since 1985 and dedicated to modeling/simulation studies of biomedical systems. He served as Chairman of the Biomedical Engineering Department from 1990–1996. His main research interests are in the areas of nonlinear and nonstationary system identification and modeling, with applications to biology, medicine, and engineering systems. Other interests include spatiotemporal and nonlinear/nonstationary signal processing, high-resolution 3-D ultrasonic imaging, and analysis of neural systems and networks with regard to information processing. He is coauthor of the book Analysis of Physiological System: The White Noise Approach (New York: Plenum, 1978; Russian translation: Moscow, Mir Press, 1981; Chinese translation: Academy of Sciences Press, Beijing, 1990), editor of three volumes on advanced methods of physiological system modeling (1987, 1989, and 1994) and author of the book Nonlinear Dynamic Modeling of Physiological Systems (2004). He has published more than 100 papers and book chapters in the area of system and signal analysis. He is a Fellow of the IEEE and of the American Institute for Medical and Biological Engineering.

Funding Information:
This research was supported by the Brain Restoration Foundation, DARPA DSO (HAND Program), the National Science Foundation Engineering Research Center (ERC) in Biomimetic Microelectronics Systems, NSF BITS Program, the Office of Naval Research (ONR) Adaptive Neural Systems Program, the ONR AINS Program, and the National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering (NIBIB) University of Southern California Biomedical Simulations Resource.

Funding Information:
Samuel A. Deadwyler is a professor of physiology and pharmacology, Department of Physiology and Pharmacology, Wake Forest University School of Medicine (WFUSM). He received his Ph.D. in 1970 from the State University of New York, Stony Brook. He conducted postdoctoral research at the University of California, Irvine from 1971–1977 and became an assistant professor of physiology and pharmacology at WFUSM in 1977. He was promoted to professor in 1984 and became vice chair in 1989. He has been funded by the National Institutes of Health (NIH) continuously since 1974, is the ongoing recipient of a NIH Senior Research Scientist award, which began in 1987, and a NIDA MERIT awardee from 1990–2000. He has served on the editorial board for the Journal of Neuroscience since 1996 and was a reviewing editor of that journal from 2001–2005. He also sits on the editorial board of the journal Hippocampus. He has been an invited Grass Foundation lecturer on four different occasions. He is past president of the International Cannabinoid Research Society and currently on the Board of Directors of the College on Problems of Drug Dependence. He has served on many national committees, including NIH review and policy making bodies as well as private industrial advisory panels. He has more than 150 publications including journal articles, chapters, and books relating to neural mechanisms of learning and memory as well as cellular neurophysiological investigation of drug actions. His research interests include mechanisms of information encoding in neuronal populations, relationship between neuronal codes and behavioral performance, mechanisms of enhancement of short-term memory in relation to neural codes generated in the hippocampus and with respect to drugs that enhance synaptic activity, processes underlying the neuronal representation of reward and actions of abused drugs, interactions between brain functions during informations processing and modification of behavioral performance by factors such as sleep deprivation, and development of wireless feedback control of performance by altering task contingencies in relation to neural encoding of task-relevant information.

ASJC Scopus subject areas

  • Biomedical Engineering

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