首页|University of New Mexico Health Sciences Center Reports Findings in Machine Lear ning (Machine learning elucidates electrophysiological properties predictive of multi- and single-firing human and mouse dorsal root ganglia neurons)
University of New Mexico Health Sciences Center Reports Findings in Machine Lear ning (Machine learning elucidates electrophysiological properties predictive of multi- and single-firing human and mouse dorsal root ganglia neurons)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Albuquerque, New Mexico, by NewsRx correspondents, research stated, “Human and mouse dorsal root ganglia (hDRG and mDRG) neurons are important tools in understanding the mo lecular and electrophysiological mechanisms that underlie nociception and drive pain behaviors. One of the simplest differences in firing phenotypes is that neu rons are single-firing (exhibit only one action potential) or multi-firing (exhi bit 2 or more action potentials).” Financial support for this research came from HHS | National Institutes of Healt h.
AlbuquerqueNew MexicoUnited StatesNorth and Central AmericaCellsCyborgsEmerging TechnologiesMachine Learni ngNeurons
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