AIMC Topic: Adaptation, Physiological
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User Adaptive Text Predictor for Mentally Disabled Huntington's Patients.
Computational intelligence and neuroscience
Feb 23, 2016
This paper describes in detail the design of the specialized text predictor for patients with Huntington's disease. The main aim of the specialized text predictor is to improve the text input rate by limiting the phrases that the user can type in. We...
Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report.
BMC neurology
Jan 28, 2016
BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder associated not only with ongoing medical complications but also with a significant loss of mobility and participation. The introduction of robotic technologies to recover lower li...
Neuroplasticity in dynamic neural networks comprised of neurons attached to adaptive base plate.
Neural networks : the official journal of the International Neural Network Society
Dec 9, 2015
In this paper, a learning algorithm is developed for Dynamic Plastic Continuous Neural Networks (DPCNNs) to improve their learning of highly nonlinear time dependent problems. A DPCNN is comprised of a base medium, which is nonlinear and plastic, and...
Incidence of nonresponse and individual patterns of response following sprint interval training.
Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme
Nov 3, 2015
The current study sought to explore the incidence of nonresponders for maximal or submaximal performance following a variety of sprint interval training (SIT) protocols. Data from 63 young adults from 5 previously published studies were utilized in t...
Imparting protean behavior to mobile robots accomplishing patrolling tasks in the presence of adversaries.
Bioinspiration & biomimetics
Oct 8, 2015
Providing unpredictable trajectories for patrol robots is essential when coping with adversaries. In order to solve this problem we developed an effective approach based on the known protean behavior of individual prey animals-random zig-zag movement...
Behavior modulation of rats to a robotic rat in multi-rat interaction.
Bioinspiration & biomimetics
Sep 28, 2015
In this paper, we study the behavioral response of rats to a robotic rat during multi-rat interaction. Experiments are conducted in an open-field where a robotic rat called WR-5 is put together with three laboratory rats. WR-5 is following one rat (t...
Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.
Journal of computational neuroscience
Sep 24, 2015
Neuronal adaptation is the intrinsic capacity of the brain to change, by various mechanisms, its dynamical responses as a function of the context. Such a phenomena, widely observed in vivo and in vitro, is known to be crucial in homeostatic regulatio...
Context-dependent coding and gain control in the auditory system of crickets.
The European journal of neuroscience
Aug 8, 2015
Sensory systems process stimuli that greatly vary in intensity and complexity. To maintain efficient information transmission, neural systems need to adjust their properties to these different sensory contexts, yielding adaptive or stimulus-dependent...
An experimental comparison of the relative benefits of work and torque assistance in ankle exoskeletons.
Journal of applied physiology (Bethesda, Md. : 1985)
Jul 9, 2015
Techniques proposed for assisting locomotion with exoskeletons have often included a combination of active work input and passive torque support, but the physiological effects of different assistance techniques remain unclear. We performed an experim...
Locomotor Adaptation by Transtibial Amputees Walking With an Experimental Powered Prosthesis Under Continuous Myoelectric Control.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 4, 2015
Lower limb amputees can use electrical activity from their residual muscles for myoelectric control of a powered prosthesis. The most common approach for myoelectric control is a finite state controller that identifies behavioral states and discrete ...
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