Biology – Quantitative Biology – Neurons and Cognition
Scientific paper
2008-10-25
Biology
Quantitative Biology
Neurons and Cognition
43 pages, 15 figures, 7 tables. May also be clasified to cs.HC
Scientific paper
Recent developments in hybrid biological-technological systems (hybrid bionic systems) has made clear the need for evaluating ergonomic fit in such systems, especially as users first become adjusted to using such systems. This training is accompanied by physiological adaptation, and can be thought of computationally as a relative degree of matching between prosthetic devices, physiology, and behavior. Achieving performance augmentation involves two features of performance: a specific form of learning, memory, and mechanotransduction called sensorimotor learning, and physiological adaptation to novel physical information imposed by the augmented environment of hybrid bionic systems. A method borrowed from environmental medicine involving perturbing the environment for a range of internal physiological conditions was used to induce sensorimotor learning and memory associated physiological changes. In addition, features of the adult phenotype were considered as a mitigator of learning-related adaptations. Using a series of statistical tests and techniques, the results demonstrate than three forms of regulation are at work related to morphological, neural, and muscular control. A discussion of the conceptual relationship between homeostasis and adaptation will then be discussed in addition to potential applications to performance augmentation strategies.
No associations
LandOfFree
Performance augmentation in hybrid bionic systems: techniques and experiment does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Performance augmentation in hybrid bionic systems: techniques and experiment, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Performance augmentation in hybrid bionic systems: techniques and experiment will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-669077