Convolutional neural networks (CNNs) were inspired by early findings in the study of
biological vision. They have since become successful tools in computer vision and state-of …

The discovery and development of novel materials in the field of energy are essential to
accelerate the transition to a low-carbon economy. Bringing recent technological …

Reconstructing visual experiences from human brain activity offers a unique way to
understand how the brain represents the world, and to interpret the connection between …

Decoding visual stimuli from brain recordings aims to deepen our understanding of the
human visual system and build a solid foundation for bridging human and computer vision …

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 …

Understanding how the brain encodes external stimuli and how these stimuli can be
decoded from the measured brain activities are long-standing and challenging questions in …

Reconstructing human vision from brain activities has been an appealing task that helps to
understand our cognitive process. Even though recent research has seen great success in …

Brain signals refer to the biometric information collected from the human brain. The research
on brain signals aims to discover the underlying neurological or physical status of the …

A neuroscience method to understanding the brain is to find and study the preferred stimuli
that highly activate an individual cell or groups of cells. Recent advances in machine …