Post on 04-Jan-2016
Synthesis and Processing of Materials
U.S. Army Research, Development and Engineering Command
Cognition, Computers and Cooperation
Presented at
TRADOC
MAD SCIENTIST SPEAKER SERIESSeptember 7, 2015
Bruce J. West
ST- Chief Scientist Mathematics
Army Research Office
bruce.j.west.civ@mail.mil
919-549-4257
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• Forecasting technology for the Army
• Pitfalls of futurology
• A little about the human brain
• Machine-driven thoughts
• Thought-driven machines
• Brain to brain communication
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• The failure modes of futurology:
− Scientific discoveries are unpredictable.
− Technology breakthroughs are no better.
• significance
• omission
• alternatives
2012
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• What makes this prediction different?
• It does not start with the desired outcome.
• It is based on reasonable extrapolation from existing sciences.
• It synthesizes the results from three fields.
• This is only one of many potential outcomes.
Brain-computer interface (BCI)
Network Science (NS)
Synthetic telethaphy
50 years
15 years
Brain-brain interface (BBI) 15 years
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Let us start with the experimental evidence that:
1. machines can directly influence the brain;
2. the brain can directly influence machines.
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• Brain-computer Interface (BCI) experiments gained notoriety in the spring of 1965, when the Yale neuroscientist Jose Delgado stopped a charging bull by transmitting a radio signal to an implant in the caudate nucleus of the animal’s brain.
The New York Times (1965):Matador with a radio stopswired bull; J. Osmundsen
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• Five hundred years of experiments studying the human brain.
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• Brain-computer Interface (BCI)
• Thought-driven systems Carmena, JM; Lebedev, MA; Crist, RE; O'Doherty, JE; Santucci, DM; Dimitrov, DF; Patil, PG; Henriquez, CS; Nicolelis, MA (2003PLoS Biology 1 (2): E42
DUKE MIT
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• Brain-machine Interface (BMI) applications.
• Present-day research
• Carmena, JM; Lebedev, MA; Crist, RE; O'Doherty, JE; Santucci, DM; Dimitrov, DF; Patil, PG; Henriquez, CS; Nicolelis, MA (2003PLoS Biology 1 (2): E42
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BCI HELICOPTER
BCI ROBOT
BCI SATISFACTION
BCI QUADRIPLEGIA
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2011
• The science fiction version of the BBI goal
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• First brain-to-brain Interface (BBI) experiments involved two rats.
• Encoder is the sender and decoder is the receiver
• Encoder learns empirically
• Decoder learns by having information funneled into his brain directly
M. Pais-Vieira, M. Lebedev, C. Kunicki, J. Wang & M.A.L. Nicolelis, “A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information”, Scientific Reports 3, 1319 (2013).
A. Ramakrishnan, P.J. Ifft, M. Pais-Vieira, Y.W. Byun, K.Z. Zhauang, M.A. Lebedev & M.A.L. Nicolellis, “Computing Arm Movements with a Monkey Brainet”, Scientific Reports 5, 10767 (2015).
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R.P.N. Rao & A. Stucco, “When two brains connect”, Scientific American, special issue (2014).
• Experimental realization of the Vulcan mind meld.
• Use one person’s brain data to produce a specific pattern of neural
activity in another person’s brain.
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