首页|Researcher at University of California San Diego (UCSD) Releases New Data on Machine Learning (Detecting unitary synaptic events with machine learning)
Researcher at University of California San Diego (UCSD) Releases New Data on Machine Learning (Detecting unitary synaptic events with machine learning)
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NETL
NSTL
Natl Acad Sciences
New research on artificial intelligence is the subject of a new report. According to news reporting originating from the University of California San Diego (UCSD) by NewsRx correspondents, research stated, “Spontaneously occurring miniature excitatory postsynaptic currents (mEPSCs) are fundamental electrophysiological events produced by quantal vesicular transmitter release at synapses.” The news editors obtained a quote from the research from University of California San Diego (UCSD): “Their analysis can provide important information regarding pre- and postsynaptic function. However, the small signal relative to recording noise requires expertise and considerable time for their identification. Furthermore, many mEPSCs smaller than 8 pA are not well resolved (e.g., those produced at distant synapses or synapses with few receptor channels).” According to the news editors, the research concluded: “Here, we describe an automated approach to detect mEPSCs using a machine learning-based tool. This method, which can be easily generalized to other one-dimensional signals, eliminates inter-observer bias, provides an estimate of its sensitivity and specificity and permits reliable detection of small (e.g., 5 pA) spontaneous unitary synaptic events.”
University of California San Diego (UCSD)CyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
Natl Acad Sciences
