Recent years have witnessed a significant advancement in brain imaging techniques that
offer a non-invasive approach to mapping the structure and function of the brain …

The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and
other emerging technology that is powered by generative artificial intelligence (GenAI) has …

We present MindEye, a novel fMRI-to-image approach to retrieve and reconstruct viewed
images from brain activity. Our model comprises two parallel submodules that are …

In neural decoding research, one of the most intriguing topics is the reconstruction of
perceived natural images based on fMRI signals. Previous studies have succeeded in re …

In this work we present DREAM, an fMRI-to-image method for reconstructing viewed images
from brain activities, grounded on fundamental knowledge of the human visual system. We …

The visual system extracts meaning from retinal inputs and computes representations rich
enough to guide actions, inform world models, and allow verbal communication. Classic …

Decoding behavior, perception or cognitive state directly from neural signals is critical for
brain–computer interface research and an important tool for systems neuroscience. In the …

Text-to-image generation has attracted significant interest from researchers and practitioners
in recent years due to its widespread and diverse applications across various industries …

The reconstruction of visual stimuli from fMRI data represents a major technological and
scientific challenge at the forefront of contemporary neuroscience research. Deep learning …

Reconstructing visual experience from brain responses measured by functional magnetic
resonance imaging (fMRI) is a challenging yet important research topic in brain decoding …