AIMC Topic: Transfer, Psychology

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Transfer learning of deep neural network representations for fMRI decoding.

Journal of neuroscience methods Oct 1, 2019
BACKGROUND: Deep neural networks have revolutionised machine learning, with unparalleled performance in object classification. However, in brain imaging (e.g., fMRI), the direct application of Convolutional Neural Networks (CNN) to decoding subject s...
Humans Brain Magnetic Resonance Imaging Brain Mapping Visual Perception Transfer, Psychology Adult Deep Learning Image Processing, Computer-Assisted
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Multiclass heterogeneous domain adaptation via bidirectional ECOC projection.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2019
Heterogeneous domain adaptation aims to exploit the source domain data to train a prediction model for the target domain with different input feature space. Current methods either map the data points from different domains with different feature spac...
Transfer, Psychology Learning Neural Networks, Computer Information Storage and Retrieval Algorithms
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Multi-source sequential knowledge regression by using transfer RNN units.

Neural networks : the official journal of the International Neural Network Society Aug 17, 2019
Transfer learning has achieved a lot of success in deep neural networks to reuse useful knowledge from source domains. However, most of the existing transfer learning strategies on neural networks are for classification tasks or based on simple train...
Deep Learning Transfer, Psychology Humans Neural Networks, Computer
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Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations.

NeuroImage. Clinical Jul 4, 2019
Combining machine learning with neuroimaging data has a great potential for early diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, it remains unclear how well the classifiers built on one population can predict MCI/...
Humans Neural Networks, Computer Aged Aged, 80 and over Databases, Factual Female Cerebral Cortex Magnetic Resonance Imaging Transfer, Psychology Alzheimer Disease Neuroimaging Male Middle Aged Cognitive Dysfunction
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A visual encoding model based on deep neural networks and transfer learning for brain activity measured by functional magnetic resonance imaging.

Journal of neuroscience methods Jun 27, 2019
BACKGROUND: Building visual encoding models to accurately predict visual responses is a central challenge for current vision-based brain-machine interface techniques. To achieve high prediction accuracy on neural signals, visual encoding models shoul...
Visual Perception Visual Cortex Functional Neuroimaging Humans Magnetic Resonance Imaging Deep Learning Models, Biological Transfer, Psychology
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Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 25, 2019
Research on machine learning approaches for upper-limb prosthesis control has shown impressive progress. However, translating these results from the lab to patient's everyday lives remains a challenge because advanced control schemes tend to break do...
Algorithms Signal Processing, Computer-Assisted Electromyography Humans Machine Learning Electrodes Patient Satisfaction Pattern Recognition, Automated Upper Extremity Amputees Artificial Limbs Prosthesis Design Transfer, Psychology
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Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 31, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of electromyography-based gesture reco...
Transfer, Psychology Algorithms Databases, Factual Deep Learning Electromyography Wavelet Analysis Wearable Electronic Devices Gestures Humans Neural Networks, Computer
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Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks.

Computational intelligence and neuroscience Jan 27, 2019
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of artificial neurons, has been leveraged to control a humanoid NAO robot in real time. The learning properties of the system have been challenged in a cla...
Transfer, Psychology Humans Motion Models, Neurological Computer Simulation Cerebellum Robotics Adaptation, Physiological Neuronal Plasticity
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Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

Journal of neural engineering Nov 26, 2018
OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In ...
Stroop Test Brain-Computer Interfaces Color Perception Transfer, Psychology Deep Learning Humans Electroencephalography Attention Neural Networks, Computer Machine Learning Algorithms
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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.

American journal of ophthalmology Oct 12, 2018
PURPOSE: We sought to construct and evaluate a deep learning (DL) model to diagnose early glaucoma from spectral-domain optical coherence tomography (OCT) images.
Retinal Ganglion Cells Visual Fields Sensitivity and Specificity Visual Field Tests Intraocular Pressure Transfer, Psychology Tomography, Optical Coherence Reproducibility of Results Humans Male Glaucoma, Open-Angle ROC Curve Datasets as Topic Aged Glaucoma Middle Aged Gonioscopy Area Under Curve Nerve Fibers Adult Deep Learning Female
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