Nedah Nemati, a Postdoctoral Research Scholar at the Center for Science and Society, has published a new article on the role of machine learning in behavioral neuroscience research. Together with her co-author Matthew Whiteway, they argue that machine learning should not be a replacement for human judgment but rather help scientists embrace the various assumptions and interpretations that shape behavioral research.
Read the full article, Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience, in the Transmitter.