[HTML][HTML] Self-supervised cross-modal visual retrieval from brain activities
We study the problem of restoring visual stimuli from visually-evoked
electroencephalography (EEG) signals. Using a supervised classification-then-generation …
electroencephalography (EEG) signals. Using a supervised classification-then-generation …
[HTML][HTML] Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning
The perception and recognition of objects around us empower environmental interaction.
Harnessing the brain's signals to achieve this objective has consistently posed difficulties …
Harnessing the brain's signals to achieve this objective has consistently posed difficulties …
Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network—Gradient Penalty Model
J Leng, J Zhu, Y Yan, X Yu, M Liu, Y Lou… - … Journal of Neural …, 2024 - World Scientific
Pain is an experience of unpleasant sensations and emotions associated with actual or
potential tissue damage. In the global context, billions of people are affected by pain …
potential tissue damage. In the global context, billions of people are affected by pain …
Generating personalized facial emotions using emotional EEG signals and conditional generative adversarial networks
Facial expressions are one of the most effective and straightforward ways of conveying our
emotions and intentions. Therefore, it is crucial to conduct research aimed at develo** a …
emotions and intentions. Therefore, it is crucial to conduct research aimed at develo** a …
Deciphering EEG Waves for the Generation of Images
Research on electroencephalography (EEG) waves has been a crucial topic in the
development of BCI technology and neurolinguistics. EEG waves have found been to not …
development of BCI technology and neurolinguistics. EEG waves have found been to not …
Learning channel attention for decoding of visual imagined text from multi-band EEG using metric learning
The electroencephalogram (EEG) signals represent proxies of the perceptual cognitive, and
emotional processes of the user, which allows neuro-engineering researchers to decode the …
emotional processes of the user, which allows neuro-engineering researchers to decode the …
A Survey on Deciphering of EEG Waves
Unlock the mind's secrets and paint emotions, thoughts, and perceptions onto a data canvas—
our research delves into the uncharted territory of EEG's conversion into diverse modalities …
our research delves into the uncharted territory of EEG's conversion into diverse modalities …
From Neural Signals to Images: Generative Reconstruction of Visual Stimuli from Electroencephalography Signals
R Walambe, A Kushwaha, D Shah, M Shetty… - Available at SSRN … - papers.ssrn.com
Understanding a patient's visual perceptions can be critical for diagnosing and managing
certain conditions, such as neurological disorders or vision impairments. Current methods of …
certain conditions, such as neurological disorders or vision impairments. Current methods of …