首页|New Machine Learning Research from Arizona State University Discussed (Discovering optimal features for neuron-type identification from extracellular recordings)
New Machine Learning Research from Arizona State University Discussed (Discovering optimal features for neuron-type identification from extracellular recordings)
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Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Tempe, Arizona, by NewsRx correspondents, research stated, "Advancements in multichannel recordings of single-unit activity (SUA) in vivo present an opportunity to discover novel features of spatially-varying extracellularly-recorded action potentials (EAPs) that are useful for identifying neuron-types. Traditional approaches to classifying neuron-types often rely on computing EAP waveform features based on conventions of single-channel recordings and thus inherit their limitations." Funders for this research include National Institutes of Health.
Arizona State UniversityTempeArizonaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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NSTL
Frontiers Media Sa
