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The neural mechanisms of manual dexterity
The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as gras** to extraordinary ones such as virtuoso …
objects, from mundane activities such as gras** to extraordinary ones such as virtuoso …
[PDF][PDF] Mechanical design and performance specifications of anthropomorphic prosthetic hands: a review
In this article, we set forth a detailed analysis of the mechanical characteristics of
anthropomorphic prosthetic hands. We report on an empirical study concerning the …
anthropomorphic prosthetic hands. We report on an empirical study concerning the …
Robotic hand augmentation drives changes in neural body representation
Humans have long been fascinated by the opportunities afforded through augmentation.
This vision not only depends on technological innovations but also critically relies on our …
This vision not only depends on technological innovations but also critically relies on our …
Support vector machines and word2vec for text classification with semantic features
J Lilleberg, Y Zhu, Y Zhang - 2015 IEEE 14th international …, 2015 - ieeexplore.ieee.org
With the rapid expansion of new available information presented to us online on a daily
basis, text classification becomes imperative in order to classify and maintain it. Word2vec …
basis, text classification becomes imperative in order to classify and maintain it. Word2vec …
Supersonically sprayed PVDF and ZnO flowers with built-in nanocuboids for wearable piezoelectric nanogenerators
Healthcare implant devices that can internally generate a flow of electrical charge driven by
mechanical stimuli are in demand. Such self-powered electromechanical devices are known …
mechanical stimuli are in demand. Such self-powered electromechanical devices are known …
On human motion prediction using recurrent neural networks
Human motion modelling is a classical problem at the intersection of graphics and computer
vision, with applications spanning human-computer interaction, motion synthesis, and …
vision, with applications spanning human-computer interaction, motion synthesis, and …
Common behavioral clusters and subcortical anatomy in stroke
A long-held view is that stroke causes many distinct neurological syndromes due to damage
of specialized cortical and subcortical centers. However, it is unknown if a syndrome-based …
of specialized cortical and subcortical centers. However, it is unknown if a syndrome-based …
Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis
Representational models specify how activity patterns in populations of neurons (or, more
generally, in multivariate brain-activity measurements) relate to sensory stimuli, motor …
generally, in multivariate brain-activity measurements) relate to sensory stimuli, motor …
Enhancing nervous system recovery through neurobiologics, neural interface training, and neurorehabilitation
After an initial period of recovery, human neurological injury has long been thought to be
static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or …
static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or …
Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands
The term 'synergy'–from the Greek synergia–means 'working together'. The concept of
multiple elements working together towards a common goal has been extensively used in …
multiple elements working together towards a common goal has been extensively used in …