Recent advances in neurotechnology-based biohybrid robots

G Chen, D Dang, C Zhang, L Qin, T Yan, W Wang… - Soft Matter, 2024 - pubs.rsc.org
Biohybrid robots retain the innate biological characteristics and behavioral traits of animals,
making them valuable in applications such as disaster relief, exploration of unknown …

[HTML][HTML] Decoding thoughts, encoding ethics: A narrative review of the BCI-AI revolution

T Rudroff - Brain Research, 2024 - Elsevier
Objectives This narrative review aims to analyze mechanisms underlying Brain-Computer
Interface (BCI) and Artificial Intelligence (AI) integration, evaluate recent advances in signal …

Large-scale infra-slow dynamics of extracellular potentials linked to synchronous states revealed by graphene neural probes

R Garcia-Cortadella, J Cisneros-Fernandez… - bioRxiv, 2024 - biorxiv.org
Brain states exhibit slow transitions that are coordinated by slowly varying homeostatic and
neuromodulatory factors. These slow dynamics modulate neuronal excitability, giving rise to …

High-Resolution Spatial Mapping of Electrocorticographic Activities with a 4096-Channel, Multiplexed Thin-Film Transistor Array

Y Xie, Z Zhang, M Liu, J Guo, M Xu, L Zhou, L Zhang… - bioRxiv, 2024 - biorxiv.org
Advanced brain-machine interfaces (BMIs) demand implantable devices that offer flexibility,
high-density and high-throughput capabilities. Conventional neural electrodes are …

Wireless and Stretchable Multichannel Neural Interface Device Based on Conformal Parylene Thin-Film

C Liu, S Cheng, Y Zhang, M Zhang… - … Circuits and Systems …, 2024 - ieeexplore.ieee.org
In the field of brain-computer interfaces, implantable neural interface devices play a crucial
role as powerful tools for acquiring high-quality electrophysiological signals which …