AIMC Topic: Adaptation, Physiological
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Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks.
Computational intelligence and neuroscience
Jan 27, 2019
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of artificial neurons, has been leveraged to control a humanoid NAO robot in real time. The learning properties of the system have been challenged in a cla...
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks.
Neural networks : the official journal of the International Neural Network Society
Oct 22, 2018
Autonomous robots need to interact with unknown, unstructured and changing environments, constantly facing novel challenges. Therefore, continuous online adaptation for lifelong-learning and the need of sample-efficient mechanisms to adapt to changes...
Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain-Machine Interfaces.
IEEE transactions on neural networks and learning systems
Oct 19, 2018
In this paper, a closed-loop control has been developed for the exoskeleton robot system based on brain-machine interface (BMI). Adaptive controllers in joint space, a redundancy resolution method at the velocity level, and commands that generated fr...
Modeling Neural Adaptation in Auditory Cortex.
Frontiers in neural circuits
Sep 5, 2018
Neural responses recorded from auditory cortex exhibit adaptation, a stimulus-specific decrease that occurs when the same sound is presented repeatedly. Stimulus-specific adaptation is thought to facilitate perception in noisy environments. Although ...
Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica.
PLoS genetics
May 8, 2018
Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to new niches remains a challenge. New methods are urgently required to provide functional insights into pathogens from the massive genomic data sets no...
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.
Neural networks : the official journal of the International Neural Network Society
Apr 16, 2018
Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an open challenge. This paper presents a novel neuron model of a locust looming detector, i.e. the lobula giant movement detector (LGMD1), in order to p...
Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field.
NeuroImage
Mar 26, 2018
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as robot-assisted therapy, it would be advantageous to predict how a patient might respond to such trea...
Motor modules during adaptation to walking in a powered ankle exoskeleton.
Journal of neuroengineering and rehabilitation
Jan 3, 2018
BACKGROUND: Modules of muscle recruitment can be extracted from electromyography (EMG) during motions, such as walking, running, and swimming, to identify key features of muscle coordination. These features may provide insight into gait adaptation as...
Robustness in living organisms is homeostasis.
Seminars in immunology
Dec 16, 2017
In order to survive and reproduce, living organisms must be robust, tolerate injuries and undergo repair. Robustness in living organisms compares to robustness in human inventions, such as buildings and machines, which have to withstand occasional da...
How do walkers behave when crossing the way of a mobile robot that replicates human interaction rules?
Gait & posture
Dec 12, 2017
Previous studies showed the existence of implicit interaction rules shared by human walkers when crossing each other. Especially, each walker contributes to the collision avoidance task and the crossing order, as set at the beginning, is preserved al...
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