AIMC Topic: Adaptation, Physiological

Clear Filters Showing 21 to 30 of 119 articles

Return of the normal distribution: Flexible deep continual learning with variational auto-encoders.

Neural networks : the official journal of the International Neural Network Society Jul 21, 2022
Learning continually from sequentially arriving data has been a long standing challenge in machine learning. An emergent body of deep learning literature suggests various solutions, through introduction of significant simplifications to the problem s...
Adaptation, Physiological Normal Distribution Bayes Theorem Machine Learning
View on PubMed DOI

Exact mean-field models for spiking neural networks with adaptation.

Journal of computational neuroscience Jul 14, 2022
Networks of spiking neurons with adaption have been shown to be able to reproduce a wide range of neural activities, including the emergent population bursting and spike synchrony that underpin brain disorders and normal function. Exact mean-field mo...
Neural Networks, Computer Neurons Adaptation, Physiological Action Potentials Models, Neurological
View on PubMed DOI

Molecular archaeology and machine learning: Deep learning algorithms help to uncover ancient genes in our genomes and their evolutionary role: Deep learning algorithms help to uncover ancient genes in our genomes and their evolutionary role.

EMBO reports May 10, 2022
The study of ancient genes in contemporary species is providing new insights about how organisms adapted to new environments during evolution.
Archaeology Algorithms Adaptation, Physiological Deep Learning
View on PubMed DOI

Evolving neural networks through bio-inspired parent selection in dynamic environments.

Bio Systems May 4, 2022
Environmental variability often degrades the performance of algorithms designed to capture the global convergence of a given search space. Several approaches have been developed to challenge environmental uncertainty by incorporating biologically ins...
Humans Neural Networks, Computer Adaptation, Physiological Algorithms
View on PubMed DOI

Continuous Online Adaptation of Bioinspired Adaptive Neuroendocrine Control for Autonomous Walking Robots.

IEEE transactions on neural networks and learning systems May 2, 2022
Walking animals can continuously adapt their locomotion to deal with unpredictable changing environments. They can also take proactive steps to avoid colliding with an obstacle. In this study, we aim to realize such features for autonomous walking ro...
Neural Networks, Computer Animals Adaptation, Physiological Walking Robotics Locomotion
View on PubMed DOI

Effectiveness of individualized training based on force-velocity profiling on physical function in older men.

Scandinavian journal of medicine & science in sports Mar 22, 2022
The study aimed to investigate the effectiveness of an individualized power training program based on force-velocity (FV) profiling on physical function, muscle morphology, and neuromuscular adaptations in older men. Forty-nine healthy men (68 ± 5 ye...
Resistance Training Adaptation, Physiological Muscle, Skeletal Aged Quadriceps Muscle Exercise Test Humans Muscle Strength Male
View on PubMed DOI

CPG-based generation strategy of variable rhythmic chewing movements for a dental testing chewing robot.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Mar 10, 2022
The rhythmic chewing movement pattern is dynamically reshaped to adapt to a variable chewing environment. The variance affects the wear performance of dental prostheses. This study was aimed to generate these variable rhythmic chewing movements for d...
Bite Force Mastication Adaptation, Physiological Movement Robotics
View on PubMed DOI

TALBOT: A Track-Leg Transformable Robot.

Sensors (Basel, Switzerland) Feb 14, 2022
This article introduces a tracked-leg transformable robot, TALBOT. The mechanical and electrical design, control method, and environment perception based on LiDAR are discussed. The original tracked-leg transformable structure allows the robot to swi...
Algorithms Gait Robotics Adaptation, Physiological Leg
View on PubMed DOI

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

IEEE transactions on neural networks and learning systems Feb 3, 2022
Large-scale labeled training datasets have enabled deep neural networks to excel across a wide range of benchmark vision tasks. However, in many applications, it is prohibitively expensive and time-consuming to obtain large quantities of labeled data...
Adaptation, Physiological Machine Learning Neural Networks, Computer
View on PubMed DOI

Force Myography-Based Human Robot Interactions via Deep Domain Adaptation and Generalization.

Sensors (Basel, Switzerland) Dec 29, 2021
Estimating applied force using force myography (FMG) technique can be effective in human-robot interactions (HRI) using data-driven models. A model predicts well when adequate training and evaluation are observed in same session, which is sometimes t...
Adaptation, Physiological Myography Mechanical Phenomena Robotics Acclimatization Humans
View on PubMed DOI
Popular Topics
Recent Journals