Andrew C. Connolly

Affiliations: 
Dartmouth College, Hanover, NH, United States 
Area:
Cognitive Neuroscience
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"Andrew Connolly"
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Parents

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Henry Gleitman grad student 2000-2003 Penn
Lila R. Gleitman grad student 2000-2006 Penn
 (Concepts and their features: Can cognitive science make good on the promises of concept empiricism?)
James Haxby post-doc 2008- Dartmouth
Sharon L. Thompson-Schill post-doc 2006-2008 Penn
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Publications

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Cetron JS, Connolly AC, Diamond SG, et al. (2019) Decoding individual differences in STEM learning from functional MRI data. Nature Communications. 10: 2027
Alfred KL, Connolly AC, Kraemer DJM. (2018) Putting the pieces together: Generating a novel representational space through deductive reasoning. Neuroimage
Van Uden CE, Nastase SA, Connolly AC, et al. (2018) Modeling Semantic Encoding in a Common Neural Representational Space. Frontiers in Neuroscience. 12: 437
Nastase SA, Halchenko YO, Connolly AC, et al. (2018) Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts. Frontiers in Neuroscience. 12: 316
Nastase SA, Connolly AC, Oosterhof NN, et al. (2017) Attention Selectively Reshapes the Geometry of Distributed Semantic Representation. Cerebral Cortex (New York, N.Y. : 1991). 1-15
Oosterhof NN, Connolly AC, Haxby JV. (2016) CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave. Frontiers in Neuroinformatics. 10: 27
Connolly AC, Sha L, Guntupalli JS, et al. (2016) How the Human Brain Represents Perceived Dangerousness or "Predacity" of Animals. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 5373-84
Guntupalli JS, Hanke M, Halchenko YO, et al. (2016) A Model of Representational Spaces in Human Cortex. Cerebral Cortex (New York, N.Y. : 1991)
Sha L, Haxby JV, Abdi H, et al. (2015) The animacy continuum in the human ventral vision pathway. Journal of Cognitive Neuroscience. 27: 665-78
Haxby JV, Connolly AC, Guntupalli JS. (2014) Decoding neural representational spaces using multivariate pattern analysis. Annual Review of Neuroscience. 37: 435-56
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