The blessing and the curse of classifying neuroimaging data

Machine learning in cognitive neuroscience In modern cognitive neuroscience, it has become common-practice to apply machine learning techniques to data obtained through neuroimaging. Despite this widespread use, however, there is something amazingly enigmatic about it. On the one hand, there is this organ that for millennia has eluded scholars: billions of neurons connected in myriads […]

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Learning about time in the University Museum

Academics should get out from their ‘Ivory Tower’, and invest more into bringing research to the public. Certainly, this critique is a sting felt by those working in cognitive neuroscience: the majority of our field relies on data acquired with repetitive, highly controlled experimental setups. These allow researchers to test fundamental models of how human […]

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