AIMC Topic: Transfer, Psychology

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Revisiting Euclidean alignment for transfer learning in EEG-based brain-computer interfaces.

Journal of neural engineering Jun 30, 2025
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, which is tim...
Algorithms Electroencephalography Brain-Computer Interfaces Transfer, Psychology Humans Machine Learning
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Prediction of Hypertension in the Pediatric Population Using Machine Learning and Transfer Learning: A Multicentric Analysis of the SAYCARE Study.

International journal of public health Mar 11, 2025
OBJECTIVE: To develop a machine learning (ML) model utilizing transfer learning (TL) techniques to predict hypertension in children and adolescents across South America.
Humans Child Hypertension Blood Pressure Male South America Machine Learning Prevalence Transfer, Psychology Female Adolescent Risk Factors
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Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware.

Journal of neural engineering Feb 13, 2025
This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead of traditionally used...
Male Electroencephalography Intention Automobile Driving Machine Learning Female Adult Humans Neural Networks, Computer Transfer, Psychology
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Tensor dictionary-based heterogeneous transfer learning to study emotion-related gender differences in brain.

Neural networks : the official journal of the International Neural Network Society Dec 3, 2024
In practice, collecting auxiliary labeled data with same feature space from multiple domains is difficult. Thus, we focus on the heterogeneous transfer learning to address the problem of insufficient sample sizes in neuroimaging. Viewing subjects, ti...
Machine Learning Brain Female Male Humans Electroencephalography Sex Characteristics Transfer, Psychology Adolescent Magnetic Resonance Imaging Emotions
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From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 7, 2024
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing upper extremity movements. We developed two artifi...
Transfer, Psychology Torque Healthy Volunteers Muscle Fatigue Adult Computer Simulation Muscle, Skeletal Humans Elbow Joint Female Elbow Biomechanical Phenomena Electromyography Male Neural Networks, Computer Young Adult Algorithms
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Online Privacy-Preserving EEG Classification by Source-Free Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
Electroencephalogram (EEG) signals play an important role in brain-computer interface (BCI) applications. Recent studies have utilized transfer learning to assist the learning task in the new subject, i.e., target domain, by leveraging beneficial inf...
Humans Machine Learning Algorithms Adult Privacy Online Systems Male Brain-Computer Interfaces Transfer, Psychology Electroencephalography
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StochCA: A novel approach for exploiting pretrained models with cross-attention.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2024
Utilizing large-scale pretrained models is a well-known strategy to enhance performance on various target tasks. It is typically achieved through fine-tuning pretrained models on target tasks. However, naï ve fine-tuning may not fully leverage knowle...
Transfer, Psychology Machine Learning Algorithms Stochastic Processes Humans Neural Networks, Computer
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FLAT: Fusing layer representations for more efficient transfer learning in NLP.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
Parameter efficient transfer learning (PETL) methods provide an efficient alternative for fine-tuning. However, typical PETL methods inject the same structures to all Pre-trained Language Model (PLM) layers and only use the final hidden states for do...
Natural Language Processing Transfer, Psychology Humans Neural Networks, Computer Language Deep Learning Machine Learning Algorithms
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Post-stroke hand gesture recognition via one-shot transfer learning using prototypical networks.

Journal of neuroengineering and rehabilitation Jun 12, 2024
BACKGROUND: In-home rehabilitation systems are a promising, potential alternative to conventional therapy for stroke survivors. Unfortunately, physiological differences between participants and sensor displacement in wearable sensors pose a significa...
Transfer, Psychology Middle Aged Stroke Hand Stroke Rehabilitation Female Humans Adult Wearable Electronic Devices Electromyography Aged Neural Networks, Computer Male Gestures Machine Learning
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Visual feedbacks influence short-term learning of torque versus motion profile with robotic guidance among young adults.

Human movement science May 1, 2024
Robotic assistance can improve the learning of complex motor skills. However, the assistance designed and used up to now mainly guides motor commands for trajectory learning, not dynamics learning. The present study explored how a complex motor skill...
Male Robotics Torque Feedback, Sensory Transfer, Psychology Young Adult Psychomotor Performance Adult Humans Motor Skills Biomechanical Phenomena Learning Female
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