AIMC Topic: Adaptation, Physiological

Clear Filters Showing 31 to 40 of 116 articles

How adaptation, training, and customization contribute to benefits from exoskeleton assistance.

Science robotics Sep 29, 2021
Exoskeletons can enhance human mobility, but we still know little about why they are effective. For example, we do not know the relative importance of training, how much is required, or what type is most effective; how people adapt with the device; o...
Female Young Adult Adult Biomechanical Phenomena Humans Gait Torque Ankle Joint Adaptation, Physiological Ankle Exoskeleton Device Equipment Design Electromyography Walking Male Muscle, Skeletal Robotics
View on PubMed DOI

A cerebellar-based solution to the nondeterministic time delay problem in robotic control.

Science robotics Sep 8, 2021
The presence of computation and transmission-variable time delays within a robotic control loop is a major cause of instability, hindering safe human-robot interaction (HRI) under these circumstances. Classical control theory has been adapted to coun...
Robotics Equipment Design Internet Cerebellum Learning User-Computer Interface Models, Neurological Neural Networks, Computer Motor Skills Movement Torque Man-Machine Systems Nonlinear Dynamics Adaptation, Physiological Spain
View on PubMed DOI

Modeling learner-controlled mental model learning processes by a second-order adaptive network model.

PloS one Aug 24, 2021
Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (...
Automobile Driving Models, Psychological Adaptation, Physiological Learning Models, Statistical Humans Neural Networks, Computer
View on PubMed DOI

Centered Multi-Task Generative Adversarial Network for Small Object Detection.

Sensors (Basel, Switzerland) Jul 31, 2021
Despite the breakthroughs in accuracy and efficiency of object detection using deep neural networks, the performance of small object detection is far from satisfactory. Gaze estimation has developed significantly due to the development of visual sens...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Adaptation, Physiological Research Design
View on PubMed DOI

Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

PLoS computational biology Jul 23, 2021
Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that ...
Extracellular Matrix Biophysical Phenomena Cell Adhesion Models, Biological Vimentin Neoplasm Metastasis Cell Shape Adaptation, Physiological Computational Biology Triple Negative Breast Neoplasms Cell Proliferation Epithelial-Mesenchymal Transition Cadherins Antigens, CD Cell Count Tumor Microenvironment Biomarkers, Tumor Cell Line, Tumor Humans Machine Learning Female
View on PubMed DOI

Motor adaptation via distributional learning.

Journal of neural engineering May 24, 2021
. Both artificial and biological controllers experience errors during learning that are probabilistically distributed. We develop a framework for modeling distributions of errors and relating deviations in these distributions to neural activity.. The...
Adaptation, Physiological Reinforcement, Psychology Artificial Intelligence Humans Learning Hand Strength
View on PubMed DOI

On the Unfounded Enthusiasm for Soft Selective Sweeps III: The Supervised Machine Learning Algorithm That Isn't.

Genes Apr 5, 2021
In the last 15 years or so, soft selective sweep mechanisms have been catapulted from a curiosity of little evolutionary importance to a ubiquitous mechanism claimed to explain most adaptive evolution and, in some cases, most evolution. This transfor...
Artificial Intelligence Humans Machine Learning Selection, Genetic Evolution, Molecular Genetics, Population Algorithms Adaptation, Physiological Genome, Human Genetic Drift
View on PubMed DOI

Experimental support for genomic prediction of climate maladaptation using the machine learning approach Gradient Forests.

Molecular ecology resources Mar 22, 2021
Gradient Forests (GF) is a machine learning algorithm that is gaining in popularity for studying the environmental drivers of genomic variation and for incorporating genomic information into climate change impact assessments. Here we (i) provide the ...
Humans Machine Learning Genome Genomics Adaptation, Physiological Polymorphism, Single Nucleotide Climate Change
View on PubMed DOI

Computational reproductions of external force field adaption without assuming desired trajectories.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2021
Optimal feedback control is an established framework that is used to characterize human movement. However, it is not fully understood how the brain computes optimal gains through interactions with the environment. In the past study, we proposed a mod...
Humans Movement Neural Networks, Computer Biomechanical Phenomena Feedback Adaptation, Physiological Models, Neurological Arm
View on PubMed DOI

Development of swarm behavior in artificial learning agents that adapt to different foraging environments.

PloS one Dec 18, 2020
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work, we apply Projective Simulation to model each individual as an artifici...
Adaptation, Physiological Models, Biological Artificial Intelligence Social Behavior Reward Computer Simulation Appetitive Behavior Feeding Behavior Animals
View on PubMed DOI
Popular Topics
Recent Journals