AIMC Topic: Motor Activity
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A pilot study on the design and validation of a hybrid exoskeleton robotic device for hand rehabilitation.
Journal of hand therapy : official journal of the American Society of Hand Therapists
May 16, 2020
STUDY DESIGN: An iterative design process was used to obtain design parameters that satisfy both kinematic and dynamic requirements for the hand exoskeleton. This design was validated through experimental studies.
Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.
Communications biology
Mar 9, 2020
Efficient action control is indispensable for goal-directed behaviour. Different theories have stressed the importance of either attention or response selection sub-processes for action control. Yet, it is unclear to what extent these processes can b...
A systematic evaluation of the evidence for perceptual control theory in tracking studies.
Neuroscience and biobehavioral reviews
Feb 21, 2020
Perceptual control theory (PCT) proposes that perceptual inputs are controlled to intentional 'reference' states by hierarchical negative feedback control, evidence for which comes from manual tracking experiments in humans. We reviewed these experim...
GEARing smart environments for pediatric motor rehabilitation.
Journal of neuroengineering and rehabilitation
Feb 10, 2020
BACKGROUND: There is a lack of early (infant) mobility rehabilitation approaches that incorporate natural and complex environments and have the potential to concurrently advance motor, cognitive, and social development. The Grounded Early Adaptive Re...
The Role of Robotic Path Assistance and Weight Support in Facilitating 3D Movements in Individuals With Poststroke Hemiparesis.
Neurorehabilitation and neural repair
Jan 20, 2020
. High-intensity repetitive training is challenging to provide poststroke. Robotic approaches can facilitate such training by unweighting the limb and/or by improving trajectory control, but the extent to which these types of assistance are necessary...
Object parsing in the left lateral occipitotemporal cortex: Whole shape, part shape, and graspability.
Neuropsychologia
Jan 11, 2020
Small and manipulable objects (tools) preferentially evoke a network of brain regions relative to other objects, including the lateral occipitotemporal cortex (LOTC), which is assumed to process tool shape information. Given the correlation between v...
A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification.
Computational intelligence and neuroscience
Dec 31, 2019
Deep learning models have been successfully applied to the analysis of various functional MRI data. Convolutional neural networks (CNN), a class of deep neural networks, have been found to excel at extracting local meaningful features based on their ...
The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses.
IEEE transactions on haptics
Dec 23, 2019
While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprives the amputee of tactile sensations that are essential for grasp control in able-bodied subjects. Therefore, it is commonly assumed that restoring the...
Using a Variable-Friction Robot Hand to Determine Proprioceptive Features for Object Classification During Within-Hand-Manipulation.
IEEE transactions on haptics
Dec 9, 2019
Interactions with an object during within-hand manipulation (WIHM) constitutes an assortment of gripping, sliding, and pivoting actions. In addition to manipulation benefits, the re-orientation and motion of the objects within-the-hand also provides ...
Hierarchical motor control in mammals and machines.
Nature communications
Dec 2, 2019
Advances in artificial intelligence are stimulating interest in neuroscience. However, most attention is given to discrete tasks with simple action spaces, such as board games and classic video games. Less discussed in neuroscience are parallel advan...
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