Brain-Computer Interfaces: An international assessment of research and development trends
Theodore W. Berger, John K. Chapin, Greg A. Gerhardt, Dennis J. McFarland, Jose C. Principe, Walid V. Soussou, Dawn M. Taylor, Patrick A. Tresco
Springer Science & Business Media, Sep 18, 2008 - Technology & Engineering - 281 pages
We have come to know that our ability to survive and grow as a nation to a very large degree depends upon our scientific progress. Moreover, it is not enough simply to keep 1 abreast of the rest of the world in scientific matters. We must maintain our leadership. President Harry Truman spoke those words in 1950, in the aftermath of World War II and in the midst of the Cold War. Indeed, the scientific and engineering leadership of the United States and its allies in the twentieth century played key roles in the successful outcomes of both World War II and the Cold War, sparing the world the twin horrors of fascism and totalitarian communism, and fueling the economic prosperity that followed. Today, as the United States and its allies once again find themselves at war, President Truman’s words ring as true as they did a half-century ago. The goal set out in the Truman Administration of maintaining leadership in science has remained the policy of the U. S. Government to this day: Dr. John Marburger, the Director of the Office of Science and Technology (OSTP) in the Executive Office of the President, made remarks to that effect during his 2 confirmation hearings in October 2001. The United States needs metrics for measuring its success in meeting this goal of maintaining leadership in science and technology. That is one of the reasons that the National Science Foundation (NSF) and many other agencies of the U. S.
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activity algorithms analysis approach areas BBCI BCI applications BCI research BCI systems BCI technology BCI-related Berger biocompatibility biological Biomed biomedical engineering Birbaumer brain brain-computer interface brain-machine interfaces Burmeister and Gerhardt cells Center Chapin China classification clinical cognitive collaboration Computational Neuroscience cortical cursor Date Visited decoding devices ECoG EEG-based electrical electrode arrays electrophysiological feedback FES system field potentials Figure filter function funding g.tec hippocampus human IEEE IEEE Trans industry Institute integrated intracortical involved J.R. Wolpaw Japan laboratory LFPs local field potentials methods microelectrode microelectrode arrays motor cortex movement multielectrode neural prostheses Neural Syst neurofeedback neurons Neurophysiol neuroprosthetic neuroscience noninvasive BCI patients Pfurtscheller prediction Professor programs prosthetic real-time recording sites Rehab RESEARCH AND DEVELOPMENT robotics sensors signal processing silicon spatial stimulation substrate tissue Tsinghua University University WTEC panel