Cognitive control signals for neural prosthetics.

Cognitive control signals for neural prosthetics. Musallam, S., Corneil, B. D., Greger, B., Scherberger, H., & Andersen, R. A. Science, 305(5681):258-62, 2004.
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Recent development of neural prosthetics for assisting paralyzed patients has focused on decoding intended hand trajectories from motor cortical neurons and using this signal to control external devices. In this study, higher level signals related to the goals of movements were decoded from three monkeys and used to position cursors on a computer screen without the animals emitting any behavior. Their performance in this task improved over a period of weeks. Expected value signals related to fluid preference, the expected magnitude, or probability of reward were decoded simultaneously with the intended goal. For neural prosthetic applications, the goal signals can be used to operate computers, robots, and vehicles, whereas the expected value signals can be used to continuously monitor a paralyzed patient's preferences and motivation.

@Article{Musallam2004,
  author   = {S. Musallam and B. D. Corneil and B. Greger and H. Scherberger and R. A. Andersen},
  journal  = {Science},
  title    = {Cognitive control signals for neural prosthetics.},
  year     = {2004},
  number   = {5681},
  pages    = {258-62},
  volume   = {305},
  abstract = {Recent development of neural prosthetics for assisting paralyzed patients
	has focused on decoding intended hand trajectories from motor cortical
	neurons and using this signal to control external devices. In this
	study, higher level signals related to the goals of movements were
	decoded from three monkeys and used to position cursors on a computer
	screen without the animals emitting any behavior. Their performance
	in this task improved over a period of weeks. Expected value signals
	related to fluid preference, the expected magnitude, or probability
	of reward were decoded simultaneously with the intended goal. For
	neural prosthetic applications, the goal signals can be used to operate
	computers, robots, and vehicles, whereas the expected value signals
	can be used to continuously monitor a paralyzed patient's preferences
	and motivation.},
  doi      = {10.1126/science.1097938},
  keywords = {Action Potentials, Animals, Arm, Brain, Cognition, Computer-Assisted, Cues, Databases, Electrodes, Goals, Haplorhini, Humans, Implanted, Intention, Language, Macaca mulatta, Memory, Motivation, Movement, Nerve Net, Neurons, Non-P.H.S., Non-U.S. Gov't, P.H.S., Paralysis, Parietal Lobe, Prostheses and Implants, Psychomotor Performance, Reaction Time, Research Support, Reward, Robotics, Signal Processing, Software, U.S. Gov't, User-Computer Interface, 15247444},
}

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