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A Lightweight Architecture for Real-Time Neuronal-Spike Classification
April 2, 2024, 7:45 p.m. | Muhammad Ali Siddiqi, David Vrijenhoek, Lennart P. L. Landsmeer, Job van der Kleij, Anteneh Gebregiorgis, Vincenzo Romano, Rajendra Bishnoi, Said Hamd
cs.LG updates on arXiv.org arxiv.org
Abstract: Electrophysiological recordings of neural activity in a mouse's brain are very popular among neuroscientists for understanding brain function. One particular area of interest is acquiring recordings from the Purkinje cells in the cerebellum in order to understand brain injuries and the loss of motor functions. However, current setups for such experiments do not allow the mouse to move freely and, thus, do not capture its natural behaviour since they have a wired connection between the …
abstract architecture arxiv brain cells classification cs.ar cs.lg current eess.sp function functions however loss popular real-time type understanding
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