Scientists train living rat neurons to perform real-time AI computation, marking a breakthrough in bio-hybrid computing systems.

Japanese researchers trained cultured rat cortical neurons to autonomously generate complex temporal signals using a real-time machine learning framework.

Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields. These include exploring the responses of brain tissue to drugs, investigating ...

High-resolution-microelectrode-array (MEA) technology enables to study neuronal dynamics at different scales, ranging from axonal physiology to network connectivity (Müller et. al, Lab on a Chip, 2015 ...

Non-terrestrial networks (NTNs) using low earth orbit (LEO) satellites present unique technical challenges, from managing large satellite constellations to ensuring reliable communication links. In ...

Science Corporation, which offers a brain-computer interface retinal implant aimed at restoring form vision to patients blinded by macular degeneration, has scored $230 million in Series C funding, ...

Abstract: This paper presents a high-throughput and dualmode CMOS microelectrode array (MEA) for chemical and electrical recording of neural networks. Unlike other ...

Axion BioSystems, a leading life sciences tools company focused on cutting-edge live-cell bioelectronic assay and imaging systems, announces the acquisition of the intellectual property and assets of ...

Understanding the dynamic neural mechanisms of sleep-wake cycles is a major challenge in sleep science and neuroengineering. Sleep, essential for maintaining brain homeostasis and cognitive function, ...

A project group including Tongji University, Stanford University and Shanghai Institute of Technical Physics has developed a camera said to help solve the inherent imaging trade-off between bandwidth ...