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A Shared Vision for Machine Learning in Neuroscience
2018
Journal of Neuroscience
With ever-increasing advancements in technology, neuroscientists are able to collect data in greater volumes and with finer resolution. The bottleneck in understanding how the brain works is consequently shifting away from the amount and type of data we can collect and toward what we actually do with the data. There has been a growing interest in leveraging this vast volume of data across levels of analysis, measurement techniques, and experimental paradigms to gain more insight into brain
doi:10.1523/jneurosci.0508-17.2018
pmid:29374138
pmcid:PMC5815449
fatcat:ysowjl7q5bctvjxhrzdvqu6qyu