Saturday, April 2; Doelenzaal, University Library, University of Amsterdam, Singel 425 Background: According to the tri-level distinction proposed by David Marr, cognitive neuroscience research distinguishes between the computational task/competence level, the algorithmic level, and the neural implementation level. During this conference, presentations will consider what neuroimaging research tells us about phenomena at these levels and their (cor)relations. In particular, they will consider to what extent the balance or interaction between levels has been changed with the development of brain imaging techniques. 10:15 Michael Anderson (Franklin & Marshall College and University of Maryland): Reuse of neural circuity in the functional architecture of the brain: evidence from neuroimaging Abstract: A decade after the decade of the brain, we have by now performed tens of thousands of functional neuroimaging studies, which offers a unique opportunity to revisit some fundamental questions about the overall functional architecture of the brain. This brief talk will present some of the evidence coming from an analysis of 2600 neuroimaging studies that (1) local brain circuits are used in many different psychological functions, across multiple traditional cognitive domains (e.g., language, attention, motor control, etc); and (2) differences between the neural underpinnings of these traditional cognitive domains are reflected more in different patterns of cooperation between (the same) neural regions, and less in differences in which neural regions are used to support tasks in each domains. These findings have implications for the overall functional architecture of the brain, and also therefore for what experimental and interpretive best practices we should follow when conducting research in the cognitive neurosciences.