Harvard researchers have developed a silicon chip capable of recording small yet telltale synaptic signals from a large number of neurons. The chip has successfully mapped over 70,000 synaptic connections from approximately 2,000 rat neurons.
A new AI-driven approach allows for the reconstruction of heart muscle cell signals with high accuracy, providing insights into cellular communication and response to drugs. This noninvasive method could dramatically reduce drug development time and cost, enabling personalized medicine.
A team of Carnegie Mellon University researchers has developed a novel microelectrode platform using 3D fuzzy graphene to enable richer intracellular recordings of cardiac action potentials. This advancement could revolutionize research on neurodegenerative and cardiac diseases, as well as the development of new therapeutic strategies.
Researchers have developed an electronic chip that can perform high-sensitivity intracellular recording from thousands of connected neurons simultaneously. This breakthrough has enabled the mapping of hundreds of synaptic connections and opens up new strategies for machine intelligence to build artificial neural networks.
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Scientists developed ultra-small U-shaped nanowire probes for precise intracellular recording, offering scalable and minimally invasive measurements. This breakthrough has the potential to improve brain-machine interface capabilities and revolutionize human-machine interaction.
Researchers have developed nanoscale-tipped high-aspect-ratio vertical microneedle electrodes that can record neuronal signals from cells deep within biological tissues. These electrodes have a needle length exceeding 100 µm, allowing for deeper tissue penetration and expanding the range of applications in intracellular recording.