The Epilepsy and Cognition Lab

Andy C. Connolly, PhD

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Andy C. Connolly, PhD

Assistant Professor of Neurology

Geisel School of Medicine, Dartmouth

Ph.D. Psychology, University of Pennsylvania

B.S. Rutgers

Curriculum Vitae

Research Gate


Address:552W Borwell Research Building Lebanon, NH


I am interested in how the human brain represents basic concepts and categories. My research addresses a range of topics including the representation of animacy in the brain, the relationship between sensory experience and conceptualization, and the compositionality of meaning. Ongoing projects include brain imaging studies aimed at decoding the systems of the brain specialized for representing animate objects and biological motion. A recurring theme in these studies is investigation of neural representations in terms of similarity structures defined by multivariate patterns of activity recorded using fMRI.


[CSG+16]Connolly, A. C. , Sha, L., Guntupalli, J. S., Oosterhof, N., Halchenko, Y. O., Nastase, S. A., di~Oleggio Castello, M. V., Abdi, H., Jobst, B. C. and Gobbini, M. I. (2016). How the Human Brain Represents Perceived Dangerousness or “Predacity” of Animals. The Journal of Neuroscience, 36, 5373–5384.
[GHH+16]Guntupalli, J. S., Hanke, M., Halchenko, Y. O., Connolly, A. C. , Ramadge, P. J. and Haxby, J. V. (2016). A model of representational spaces in human cortex. Cerebral Cortex, bhw068.
[NCO+16]Nastase, S. A., Connolly, A. C. , Oosterhof, N. N., Halchenko, Y. O., Guntupalli, J. S., di~Oleggio Castello, M. V., Gors, J., Gobbini, M. I. and Haxby, J. V. (2016). Attention selectively reshapes the geometry of distributed semantic representation. bioRxiv, 045252.
[PCH16]Oosterhof, N. N., Connolly, A. C. and Haxby, J. V. (2016). CoSMoMVPA: multi-modal multivariate pattern analysis of neuroimaging data in Matlab/GNU Octave. bioRxiv, 047118.
[HMT+15]Horak, P. C. , Meisenhelter, S. , Testorf, M. E. , Connolly, A. C. , Davis, K. A. and Jobst, B. C. (2015). Implementation and evaluation of an interictal spike detector. In (Eds.) SPIE Optical Engineering+ Applications.
[SHA+15]Sha, L., Haxby, J. V., Abdi, H., Guntupalli, J. S., Oosterhof, N. N., Halchenko, Y. O. and Connolly, A. C. (2015). The animacy continuum in the human ventral vision pathway. Journal of cognitive neuroscience.
[THC+15]Testorf, M. E. , Horak, P. , Connolly, A. C. , Holmes, G. L. and Jobst, B. C. (2015). Inter-trial alignment of EEG data and phase-locking. In (Eds.) SPIE Optical Engineering+ Applications.
[HCG14]Haxby, J. V., Connolly, A. C. and Guntupalli, J. S. (2014). Decoding Neural Representational Spaces Using Multivariate Pattern Analysis. Annual Review of Neuroscience, 37, 435-436. DOI: 10.1146/annurev-neuro-062012-170325
[KFR+13]Kohler, P. J., Fogelson, S. V., Reavis, E. A., Meng, M., Guntupalli, J. S., Hanke, M., Halchenko, Y. O., Connolly, A. C. , Haxby, J. V. and Tse, P. U. (2013). Pattern classification precedes region-average hemodynamic response in early visual cortex.. Neuroimage, 78C, 249-260. DOI: 10.1016/j.neuroimage.2013.04.019
[AWC+12]Abdi, H., Williams, L. J., Connolly, A. C. , Gobbini, M. I., Dunlop, J. P. and Haxby, J. V. (2012). Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): How to assign scans to categories without using spatial normalization. Computational and Mathematical Methods in Medicine, 2012, 1-15. DOI: 10.1155/2012/634165, cited by: 4
[CGH12]Connolly, A. C. , Gobbini, M. I. and Haxby, J. V. (2012). Three Virtues of Similarity-Based Multivariate Pattern Analysis: An Example from the Human Object Vision pathway in Understanding visual population codes: Toward a common multivariate framework for cell recording and functional imaging. In Kriegeskorte, N. and Kreiman, G. (Eds.) (pp. 335-355): MIT Press. cited by: 3
[CGG+12]Connolly, A. C. , Guntupalli, J. S., Gors, J., Hanke, M., Halchenko, Y. O., Wu, Y., Abdi, H. and Haxby, J. V. (2012). Representation of biological classes in the human brain. Journal of Neuroscience, 32, 2608-2618. DOI: 10.1523/JNEUROSCI.5547-11.2012, cited by: 16
[GCA12]Gleitman, L. R., Connolly, A. C. and Armstrong, S. L. (2012). Can Prototype Representations Support Composition and Decomposition? in The Oxford Handbook of Compositionality. In Werning, M. and Hinzen, W. and Machery, E. (Eds.) (pp. 419-436): Oxford University Press.
[RC12]Raizada, R. and Connolly, A. C. (2012). What makes different people’s representations alike: neural similarity-space solves the problem of across-subject fMRI decoding. Journal of Cognitive Neuroscience (in press), 24, 868-877. DOI: 10.1162/jocn_a_00189, cited by: 2
[HGC+11]Haxby, J. V., Guntupalli, J. S., Connolly, A. C. , Halchenko, Y. O., Conroy, B. R., Gobbini, M. I., Hanke, M. and Ramadge, P. J. (2011). A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex. Neuron, 72, 404-416. DOI: 10.1016/j.neuron.2011.08.026, cited by: 21
[CFG+07]Connolly, A. C. , Fodor, J. A., Gleitman, L. R. and Gleitman, H. (2007). Why stereotypes don’t even make good defaults. Cognition, 103, 1-22. DOI: 10.1016/j.cognition.2006.02.005
[CGT07]Connolly, A. C. , Gleitman, L. R. and Thompson-Schill, S. L. (2007). Effect of congenital blindness on the semantic representation of some everyday concepts. Proceedings of the National Academy of Sciences of the United States of America, 104, 8241-8246. DOI: 10.1073/pnas.0702812104
[Con06]Connolly, A. C. (2006). Concepts and Their Features: Can Cognitive Science Make Good on the Promises of Concept Empiricism? A Dissertation in Psychology (Doctoral dissertation). University of Pennsylvania, Philadelphia, Pennsylvania.
[Con00a]Connolly, A. C. (2000). Why children say goed: A study of over-regularization and linguistic tradeoffs in child speech* (Thesis). Henry Rutgers Scholars Program, New Brunswick, New Jersey.

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