This study provides a method for segmenting sub-areas of brain tumors using a ResU-Net model. The proposed model is effective combines encoding residual blocks using attribution mapping the U-Net ...

These 3D model brains with cells from several people are first of their kind Yet the brain is more than a patchwork of interconnected structures, stuck together like Lego bricks. It is a dynamic ...

To address this specific challenge, Zhou and his research team created a small, hair-like device made from 3D-printed hydrogel. The electrode, a small dot, captures brain signals from the scalp ...

The robot engages in natural conversations and has arms with six degrees of freedom, enabling fluid, precise gestures with custom design.

Participants will discover how high-order interactions and whole-brain models are transforming our understanding of clinical and cognitive domains, with a particular focus on aging, neurodegeneration, ...

BIRMINGHAM, Ala (WIAT) – Traumatic brain injury research faces significant funding cuts nationwide – including ... “Alabama is very fortunate to be one of really a few number of sites in the nation ...

However, challenges remain in effectively comparing the representational spaces of artificial models and brain data, particularly due to the growing variety of models and the specific demands of ...

Researchers have developed a 3D-printable electrode that looks like a single strand of human hair and measures brain activity more reliably than the current method used to diagnose things like ...

Results obtained from extensive simulation experiments verify the effectiveness of HRCM in significantly reducing communication delay, increasing resource usage, and shortening simulation time for ...

MIT CSAIL researchers have introduced linear oscillatory state-space models (LinOSS), inspired by neural oscillations in the brain, to enhance machine learning’s ability to handle long data sequences.

This is a Python repository for recovering weights or re-training a multimodal masked autoencoder on anatomical brain MRIs. It naturally handles missing modalities and processes any combination of ...