BrainCLIP: Bridging brain and visual-linguistic representation via CLIP for generic natural visual stimulus decoding
Due to the lack of paired samples and the low signal-to-noise ratio of functional MRI (fMRI)
signals, reconstructing perceived natural images or decoding their semantic contents from …
signals, reconstructing perceived natural images or decoding their semantic contents from …
Semantics-guided hierarchical feature encoding generative adversarial network for natural image reconstruction from brain activities
L Meng, C Yang - 2023 International Joint Conference on …, 2023 - ieeexplore.ieee.org
The use of deep learning methods to decode visual perception images from brain activity
recorded by fMRI has received a lot of attention. However, limited fMRI data make the task of …
recorded by fMRI has received a lot of attention. However, limited fMRI data make the task of …
[HTML][HTML] Reconstruction of natural images from human fMRI using a three-stage multi-level deep fusion model
L Meng, Z Tang, Y Liu - Journal of Neuroscience Methods, 2024 - Elsevier
Background Image reconstruction is a critical task in brain decoding research, primarily
utilizing functional magnetic resonance imaging (fMRI) data. However, due to challenges …
utilizing functional magnetic resonance imaging (fMRI) data. However, due to challenges …
Semantics-Guided Hierarchical Feature Encoding Generative Adversarial Network for Visual Image Reconstruction From Brain Activity
L Meng, C Yang - IEEE Transactions on Neural Systems and …, 2024 - ieeexplore.ieee.org
The utilization of deep learning techniques for decoding visual perception images from brain
activity recorded by functional magnetic resonance imaging (fMRI) has garnered …
activity recorded by functional magnetic resonance imaging (fMRI) has garnered …
A New Framework Combining Diffusion Models and the Convolution Classifier for Generating Images from EEG Signals
G Yang, J Liu - Brain Sciences, 2024 - mdpi.com
The generation of images from electroencephalography (EEG) signals has become a
popular research topic in recent research because it can bridge the gap between brain …
popular research topic in recent research because it can bridge the gap between brain …
Brain Visual Stimulus Reconstruction Using a Three-Stage Multilevel Deep Fusion Model
L Meng, Z Tang - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Currently, the field of brain visual stimulus decoding from functionally synthesized MRI
images has gained increaseing attention from researchers. However, challenges such as …
images has gained increaseing attention from researchers. However, challenges such as …