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Maslarova, A., Shin, J.N., Navas-Olive, A. et al. Nat Commun (2025)
We’re excited to share this new research from Anna Maslarova, MD PhD and Jiyun Shin, PhD and the team at the Buzsáki lab and Liu lab at NYU Langone.
They developed a semi-automated analysis toolbox called ripmap, which uses low-dimensional embedding to separate event waveforms and reduce false positives in ripple detection, enhancing the reliability of detecting SPW-Rs in human hippocampal recordings. Better detection and classification of ripples vs. epileptiform discharges can improve both basic neuroscience research and clinical neurophysiology.
Using 8-shank, 1024-channel SiNAPS probes from NeuroNexus, the researchers captured high-resolution recordings from mouse hippocampus. Data were digitized with the Smartbox Pro and SiNAPS interface box and visualized using NeuroNexus Radiens Allego. We’re proud to see how NeuroNexus tools are helping researchers to push neuroscience forward!
