Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, multi-site recordings, enabling ...

Digital twins began as static digital models used primarily for visualization and design. The review shows that they have ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...

Artificial intelligence is reshaping brain modeling. This review introduces a unified framework where AI functions as a surrogate brain by integrating dynamical modeling, inverse problem solving, and ...

Biometric technologies, including face and fingerprint recognition, also strengthen identity verification and reduce exposure ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

In recent years, the study of collective dynamics in complex systems has expanded beyond traditional pairwise network models to include non-pairwise ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Temporal graphs serve as a powerful framework for representing networks whose connections evolve over time. By incorporating time‐stamped interactions, these models capture the dynamic nature of ...