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CMU develops new method for analyzing synaptic density


December 28, 2015

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Carnegie Mellon University (CMU) researchers have developed a new approach to broadly survey learning-related changes in synapse properties. In a study published in the Journal of Neuroscience, the researchers used machine-learning algorithms to analyze thousands of images from the cerebral cortex. This allowed them to identify synapses from an entire cortical region, revealing unanticipated information about how synaptic properties change during development and learning.Full Story

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Carnegie Mellon University

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