The HaxbyLab@Dartmouth

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Publications

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Articles

[EMH+17]Eglen, S. J., et al. (2017). Toward standard practices for sharing computer code and programs in neuroscience. Nat Neurosci, 20, 770-773. DOI: 10.1038/nn.4550
[GPK+17]Ghosh, S. S., Poline, J., Keator, D. B., Halchenko, Y. O. , Thomas, A. G., Kessler, D. A. and Kennedy, D. N. (2017). A very simple, re-executable neuroimaging publication. F1000Research, 6. DOI: 10.12688/f1000research.10783.1
[NCO+17]Nastase, S. A. , et al. (2017). Attention selectively reshapes the geometry of distributed semantic representation. Cerebral Cortex, in press.
[VHG+biorxiv17]Visconti di Oleggio Castello, M., Halchenko, Y. O. , Guntupalli, J. S. , Gors, J. D. and Gobbini, M. I. (2017). The Neural Representation Of Personally Familiar And Unfamiliar Faces In The Distributed System For Face Perception. bioRxiv. [URL] DOI: 10.1101/138297
[CSG+16]Connolly, A. C. , et al. (2016). How the human brain represents perceived dangerousness or “predacity” of animals. Journal of Neuroscience, 36, 5373–5384. [PDF] [URL] DOI: 10.1523/jneurosci.3395-15.2016, cited by: 5
[EMH+biorxiv16]Eglen, S., et al. (2016). Towards standard practices for sharing computer code and programs in neuroscience. bioRxiv. [PDF] [URL] DOI: 10.1101/045104
[GAC+16]Gorgolewski, K. J., et al. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data, 3, 160044. [PDF] [URL] DOI: 10.1038/sdata.2016.44, cited by: 29
[GAC+biorxiv16]Gorgolewski, K. J., et al. (2016). The Brain Imaging Data Structure: a standard for organizing and describing outputs of neuroimaging experiments. bioRxiv. [URL] DOI: 10.1101/034561, cited by: 3
[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, 2919-2934. DOI: 10.1093/cercor/bhw068, cited by: 20
[GWG16]Guntupalli, J. S. , Wheeler, K. G. and Gobbini, M. I. (2016). Disentangling the representation of identity from head view along the human face processing pathway. Cerebral Cortex. [URL]
[NCO+biorxiv16]Nastase, S. A. , et al. (2016). Attention selectively reshapes the geometry of distributed semantic representation. bioRxiv. [PDF] [URL] DOI: 10.1101/045252, cited by: 2
[SKG+SD16]Sengupta, A., Kaule, F. R., Guntupalli, J. S. , Hoffmann, M. B. and H, (2016). A studyforrest extension, retinotopic mapping and localization of higher visual areas. Scientific Data, 3, 160093. cited by: 6
[Vogel+2016]Vogelstein, J. T., et al. (2016). To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery. Neuron, 92, 622-627. DOI: 10.1016/j.neuron.2016.10.033
[HH15]Halchenko, Y. O. and Hanke, M. (2015). Four aspects to make science open “by design” and not as an after-thought. GigaScience, 4. [PDF] DOI: 10.1186/s13742-015-0072-7
[NID+15]Nastase, S. A. , Iacovella, V., Davis, B. and Hasson, U. (2015). Connectivity in the human brain dissociates entropy and complexity of auditory input. NeuroImage, 108, 292-300. [PDF] DOI: 10.1016/j.neuroimage.2014.12.048
[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, 27:4, 665-678. [PDF] DOI: 10.1162/jocn_a_00733, cited by: 32
[LHW+14]Lopez, R. B., Hofmann, W., Wagner, D. D. , Kelley, W. M. and Heatherton, T. F. (2014). Neural predictors of giving in to temptation in daily life.. Psychological Science.
[NIH+14]Nastase, S. A. , Iacovella, V. and Hasson, U. (2014). Uncertainty in visual and auditory series is coded by modality-general and modality-specific neural systems. Human Brain Mapping, 35, 1111-28. [PDF] DOI: 10.1002/hbm.22238
[CWK+13]Chen, P., Wagner, D. , Kelley, W., Powers, K. and Heatherton, T. (2013). Medial prefrontal cortex differentiates self from mother in Chinese: evidence from self-motivated immigrants. Culture and Brain, 1, 1-13. [URL] DOI: 10.1007/s40167-013-0001-5, cited by: 9
[CSG+13]Conroy, B. R., Singer, B. D., Guntupalli, J. S. , Ramadge, P. J. and Haxby, J. V. (2013). Inter-subject alignment of human cortical anatomy using functional connectivity. NeuroImage, 81, 400-411. [PDF] [URL] DOI: 10.1016/j.neuroimage.2013.05.009, cited by: 46
[GGH+13]Gobbini, M. I. , Gors, J. D. , Halchenko, Y. O. , Hughes, H. C. and Cipolli, C. (2013). Processing of invisible social cues. Consciousness and Cognition, 22, 765-770. [PDF] DOI: 10.1016/j.concog.2013.05.002, cited by: 17
[GGH+13b]Gobbini, M. I. , Gors, J. D. , Halchenko, Y. O. , Rogers, C. , Guntupalli, J. S. , Hughes, H. and Cipolli, C. (2013). Prioritized Detection of Personally Familiar Faces. PLoS ONE, 8. DOI: 10.1371/journal.pone.0066620, cited by: 32
[HHH+arxiv13]Halchenko, Y. (2013). Transmodal Analysis of Neural Signals. ArXiv e-prints. [URL]
[KFR+13]Kohler, P. J., et al. (2013). Pattern classification precedes region-average hemodynamic response in early visual cortex.. Neuroimage, 78C, 249-260. [PDF] DOI: 10.1016/j.neuroimage.2013.04.019
[OTD13]Oosterhof, N. N. , Tipper, S. P. and Downing, P. E. (2013). Action-specific and cross-modal: neuroimaging the human mirror system. Trends in Cognitive Sciences, 17, 311-318. [PDF] DOI: 10.1016/j.tics.2013.04.012
[OWC13]Oosterhof, N. N. , Wiggett, A. J. and Cross, E. S. (2013). Testing key predictions of the associative account of mirror neurons in humans using multivariate pattern analysis: Commentary on Cook et al. Behavioral and Brain Sciences.
[PWN+13]Powers, K. E., Wagner, D. D. , Norris, C. J. and Heatherton, T. F. (2013). Socially excluded individuals fail to recruit medial prefrontal cortex for negative social scenes.. Soc Cogn Affect Neurosci, 8, 151-157. [URL] DOI: 10.1093/scan/nsr079
[SWW+12]Somerville, L. H., Wagner, D. D. , Wig, G. S., Moran, J. M., Whalen, P. J. and Kelley, W. M. (2013). Interactions Between Transient and Sustained Neural Signals Support the Generation and Regulation of Anxious Emotion. Cerebral Cortex, 23, 49-60. [URL] DOI: 10.1093/cercor/bhr373, cited by: 5
[RDP+13]Todorov, A., Dotsch, R., Porter, J. M., Oosterhof, N. N. and Falvello, V. B. (2013). Validation of Data-Driven Computational Models of Social Perception of Faces. Emotion. DOI: 10.1037/a0032335
[WAB+13]Wagner, D. D. , Altman, M., Boswell, R. G., Kelley, W. M. and Heatherton, T. F. (2013). Self-Regulatory Depletion Enhances Neural Responses to Rewards and Impairs Top-Down Control. Psychological Science, 11, 2262-71. DOI: doi:10.1177/0956797613492985
[WH13]Wagner, D. D. and Heatherton, T. F. (2013). Self-regulatory depletion increases emotional reactivity in the amygdala. Social Cognitive and Affective Neuroscience, 8, 410-417. DOI: 10.1093/scan/nss082, cited by: 2
[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. [PDF] DOI: 10.1155/2012/634165, cited by: 14
[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. [PDF] DOI: 10.1523/JNEUROSCI.5547-11.2012, cited by: 135
[HH12]Halchenko, Y. O. and Hanke, M. (2012). Open is not enough. Let’s take the next step: An integrated, community-driven computing platform for neuroscience. Frontiers in Neuroinformatics, 6. [PDF] DOI: 10.3389/fninf.2012.00022, cited by: 63
[Hax12]Haxby, J. V. (2012). Multivariate pattern analysis of fMRI: The early beginnings. NeuroImage, 62. DOI: 10.1016/j.neuroimage.2012.03.016, cited by: 3
[HCW+12b]Hosseinbor, A. P., Chung, M. K., Wu, Y. and Alexander, A. L. (2012). Bessel Fourier Orientation Reconstruction (BFOR): An analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices.. Neuroimage, 64, 650-670. [PDF] [URL]
[LOK+12]Linden, D. E. J., Oosterhof, N. N. , Klein, C. and Downing, P. E. (2012). Mapping brain activation and information during category-specific visual working memory. Journal of neurophysiology, 107, 628-639. [PDF] DOI: 10.1152/jn.00105.2011, cited by: 4
[LGW12]Looser, C. E., Guntupalli, J. S. and Wheatley, T. (2012). Multivoxel patterns in face-sensitive temporal regions reveal an encoding schema based on detecting life in a face. Social Cognitive and Affective Neuroscience. [PDF] [URL] DOI: 10.1093/scan/nss078
[OTD12]Oosterhof, N. N. , Tipper, S. P. and Downing, P. E. (2012). Viewpoint (In)dependence of Action Representations: An MVPA Study. Journal of cognitive neuroscience, 24, 975-989. [PDF]
[OTD12b]Oosterhof, N. N. , Tipper, S. P. and Downing, P. E. (2012). Visuo-motor imagery of specific manual actions: A multi-variate pattern analysis fMRI study. NeuroImage, 63, 262-271. [PDF] DOI: 10.1016/j.neuroimage.2012.06.045
[PBG+12]Poline, J., et al. (2012). Data sharing in neuroimaging research. Frontiers in Neuroinformatics, 6. DOI: 10.3389/fninf.2012.00009, cited by: 6
[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, 24, 868-877. [PDF] [URL] DOI: 10.1162/jocn_a_00189, cited by: 2
[SAM+12]Samsonov, A., Alexander, A. L., Mossahebi, P., Wu, Y. , Duncan, I. D. and Field, A. S. (2012). Quantitative MR imaging of two-pool magnetization transfer model parameters in myelin mutant shaking pup.. Neuroimage, 62, 1390-8. [PDF] [URL]
[WBK+12]Wagner, D. D. , Boswell, R. G., Kelley, W. M. and Heatherton, T. F. (2012). Inducing Negative affect increases the reward value of appetizing foods in dieters. Journal of Cognitive Neuroscience, 24, 1625-1633. [URL], cited by: 1
[WHH12]Wagner, D. D. , Haxby, J. V. and Heatherton, T. F. (2012). The Representation of Self and Person Knowledge in the Medial Prefrontal Cortex. Wiley Interdisciplinary Reviews:Cognitive Science, 3, 451-470. cited by: 3
[GGR+11]Gobbini, M. I. , Gentili, C., Ricciardi, E., Bellucci, C., Salvini, P., Laschi, C., Guazzelli, M. and Pietrini, P. (2011). Distinct neural systems involved in agency and animacy detection.. J Cogn Neurosci, 23, 1911-20. [PDF] DOI: 10.1162/jocn.2010.21574, cited by: 53
[GBM+11]Gorgolewski, K., Burns, C. D., Madison, C., Clark, D., Halchenko, Y. O. , Waskom, M. L. and Ghosh, S. S. (2011). Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. Front. Neuroinform., 5, 13. [PDF] DOI: 10.3389/fninf.2011.00013, cited by: 226
[HH11]Hanke, M. and Halchenko, Y. O. (2011). Neuroscience runs on GNU/Linux. Front. Neuroinform., 5, 8. [PDF] DOI: 10.3389/fninf.2011.00008, cited by: 27
[HCO+11]Harsay, H. A., Cohen, M. X., Oosterhof, N. N. , Forstmann, B. U., Mars, R. B. and Ridderinkhof, K. R. (2011). Functional connectivity of the striatum links motivation to action control in humans. The Journal of neuroscience : the official journal of the Society for Neuroscience, 31, 10701-10711. [PDF] DOI: 10.1523/JNEUROSCI.5415-10.2011, cited by: 49
[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. [PDF] [PDF:Supp] DOI: 10.1016/j.neuron.2011.08.026, cited by: 196
[HW11]Heatherton, T. F. and Wagner, D. D. (2011). Cognitive neuroscience of self-regulation failure.. Trends Cogn Sci, 15, 132-139. [PDF] DOI: 10.1016/j.tics.2010.12.005, cited by: 518
[HCW+11]Hosseinbor, A. P., Chung, M. K., Wu, Y. and Alexander, A. L. (2011). Bessel Fourier orientation reconstruction: an analytical EAP reconstruction using multiple shell acquisitions in diffusion MRI.. Med Image Comput Comput Assist Interv, 14, 217-25. [PDF] [URL], cited by: 14
[LJF+11]Lee, Y., Janata, P., Frost, C., Hanke, M. and Granger, R. (2011). Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI. NeuroImage. [PDF] DOI: 10.1016/j.neuroimage.2011.02.006, cited by: 63
[OWD+11]Oosterhof, N. N. , Wiestler, T., Downing, P. E. and Diedrichsen, J. (2011). A comparison of volume-based and surface-based multi-voxel pattern analysis. NeuroImage, 56, 593-600. [PDF] DOI: 10.1016/j.neuroimage.2010.04.270, cited by: 63
[PKO+11]Plumpton, C. O., Kuncheva, L. I., Oosterhof, N. N. and Johnston, S. J. (2011). Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data. Pattern Recognition, 45, 2101-2108. [PDF] DOI: 10,1016/j.patcog.2011.04.270, cited by: 19
[TO11]Todorov, A. and Oosterhof, N. N. (2011). Modeling Social Perception of Faces. IEEE Signal Processing Magazine, 28, 117-122. [PDF] DOI: 10.1109/MSP.2010.940006, cited by: 56
[TSO+11]Todorov, A., Said, C. P., Oosterhof, N. N. and Engell, A. D. (2011). Task-invariant brain responses to the social value of faces. Journal of cognitive neuroscience, 23, 2766-2781. [PDF] DOI: 10.1162/jocn.2011.21616, cited by: 29
[WDS+11]Wagner, D. D. , Cin, S. D., Sargent, J. D., Kelley, W. M. and Heatherton, T. F. (2011). Spontaneous action representation in smokers when watching movie characters smoke. J Neurosci, 31, 894-898. [PDF] DOI: 10.1523/JNEUROSCI.5174-10.2011, cited by: 68
[WKH11]Wagner, D. D. , Kelley, W. M. and Heatherton, T. F. (2011). Individual Differences in the Spontaneous Recruitment of Brain Regions Supporting Mental State Understanding When Viewing Natural Social Scenes. Cereb Cortex, 21, 2788-96. [PDF] DOI: 10.1093/cercor, cited by: 64
[WFD+11]Wu, Y. , Field, A. S., Duncan, I. D., Samsonov, A. A., Kondo, Y., Tudorascu, D. and Alexander, A. L. (2011). High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation.. Neuroimage, 58, 829-37. [PDF] [URL], cited by: 5
[WFW+11]Wu, Y. , Field, A. S., Whalen, P. J. and Alexander, A. L. (2011). Age- and gender-related changes in the normal human brain using hybrid diffusion imaging (HYDI). Neuroimage, 54, 1840-53. [PDF] DOI: 10.1016/j.neuroimage.2010.09.067, cited by: 13
[ENO+10]Engell, A. D., Nummenmaa, L., Oosterhof, N. N. , Henson, R. N., Haxby, J. V. and Calder, A. J. (2010). Differential activation of frontoparietal attention networks by social and symbolic spatial cues. Social cognitive and affective neuroscience, 5, 432-440. [PDF] DOI: 10.1093/scan/nsq008, cited by: 34
[HH09]Halchenko, Y. O. and Hanke, M. (2010). Advancing Neuroimaging Research with Predictive Multivariate Pattern Analysis. The Neuromorphic Engineer. [PDF] DOI: 10.2417/1200909.1683, cited by: 1
[OHW+10]O, (2010). Helium-3 MR q-space imaging with radial acquisition and iterative highly constrained back-projection. Magn Reson Med, 63, 41-50. [PDF] DOI: 10.1002/mrm.22158
[OWD+10]Oosterhof, N. N. , Wiggett, A. J., Diedrichsen, J., Tipper, S. P. and Downing, P. E. (2010). Surface-based information mapping reveals crossmodal vision-action representations in human parietal and occipitotemporal cortex. Journal of neurophysiology, 104, 1077-1089. [PDF] DOI: 10.1152/jn.00326.2010, cited by: 120
[RHH+10]Ramsey, J. D., Hanson, S. J., Hanson, C., Halchenko, Y. O. , Poldrack, R. A. and Glymour, C. (2010). Six problems for causal inference from fMRI. Neuroimage, 49, 1545-58. [PDF] DOI: 10.1016/j.neuroimage.2009.08.065, cited by: 192
[SSC+10]Sabuncu, M. R., Singer, B. D., Conroy, B., Bryan, R. E., Ramadge, P. J. and Haxby, J. V. (2010). Function-based intersubject alignment of human cortical anatomy. Cereb Cortex, 20, 130-40. [PDF] DOI: 10.1093/cercor, cited by: 118
[SME+10]Said, C. P., Moore, C. D., Engell, A. D., Todorov, A. and Haxby, J. V. (2010). Distributed representations of dynamic facial expressions in the superior temporal sulcus. J Vis, 10. [PDF] DOI: 10.1167/10.5.11
[TLO10]Todorov, A., Loehr, V. and Oosterhof, N. N. (2010). The obligatory nature of holistic processing of faces in social judgments. Perception, 39, 514-532. [PDF] DOI: 10.1068/p6501, cited by: 41
[HHS+09a]Hanke, M. , Halchenko, Y. O. , Sederberg, P. B., Hanson, S. J., Haxby, J. V. and Pollmann, S. (2009). PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics, 7, 37-53. [PDF] DOI: 10.1007/s12021-008-9041-y, cited by: 240
[HHS+09b]Hanke, M. , et al. (2009). PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data. Frontiers in Neuroinformatics, 3, 3. [PDF] DOI: 10.3389/neuro.11.003.2009, cited by: 35
[MSH09]Montgomery, K. J., Seeherman, K. R. and Haxby, J. V. (2009). The well-tempered social brain. Psychol Sci, 20, 1211-3. [PDF] DOI: 10.1111/j.1467-9280.2009.02428.x
[OT09]Oosterhof, N. N. and Todorov, A. (2009). Shared perceptual basis of emotional expressions and trustworthiness impressions from faces. Emotion (Washington, D.C.), 9, 128-133. [PDF] DOI: 10.1037/a0014520, cited by: 170
[PHH09]Poldrack, R. A., Halchenko, Y. O. and Hanson, S. J. (2009). Decoding the Large-Scale Structure of Brain Function by Classifying Mental States Across Individuals. Psychological Science, 20, 1364-1372. [PDF] DOI: 10.1111/j.1467-9280.2009.02460.x, cited by: 196
[TPO09]Todorov, A., Pakrashi, M. and Oosterhof, N. N. (2009). Evaluating faces on trustworthiness after minimal time exposure. Social Cognition, 27, 813-833. [PDF] DOI: 10.1521/soco.2009.27.6.813, cited by: 272
[WSG+09]Wagner, D. D. , Sziklas, V., Garver, K. E. and Jones-Gotman, M. (2009). Material-specific lateralization of working memory in the medial temporal lobe.. Neuropsychologia, 47, 112-122. [PDF] DOI: 10.1016/j.neuropsychologia.2008.08.010, cited by: 42
[HH08]Hanson, S. J. and Halchenko, Y. O. (2008). Brain reading using full brain support vector machines for object recognition: there is no “face’’ identification area. Neural Computation, 20, 486-503. [PDF] DOI: 10.1162/neco.2007.09-06-340, cited by: 66
[LCW+08]Liu, H., Chen, H., Wu, Y. , Lim, S., Huang, C., Hsu, Y., Wai, Y. and Wu, T. (2008). False-positive analysis of functional MRI during simulated deep brain stimulation: a phantom study. J Magn Reson Imaging, 27, 1439-42. [PDF] DOI: 10.1002/jmri.21222
[MPH+08]Maertens, M., Pollmann, S., Hanke, M. , Mildner, T. and M”oller, H. (2008). Retinotopic activation in response to subjective contours in primary visual cortex. Frontiers in Human Neuroscience, 2, 2. [PDF] DOI: 10.3389/neuro.09.002.2008, cited by: 14
[OT08]Oosterhof, N. N. and Todorov, A. (2008). The functional basis of face evaluation. Proceedings of the National Academy of Sciences of the United States of America, 105, 11087-11092. [PDF] DOI: 10,1073/pnas0805664105, cited by: 182
[TBO08]Todorov, A., Baron, S. G. and Oosterhof, N. N. (2008). Evaluating face trustworthiness: a model based approach. Social cognitive and affective neuroscience, 3, 119-127. [PDF] DOI: 10.1093/scan/nsn009, cited by: 233
[TSE+08]Todorov, A., Said, C. P., Engell, A. D. and Oosterhof, N. N. (2008). Understanding evaluation of faces on social dimensions. Trends in cognitive sciences, 12, 455-460. [PDF] DOI: 10.1016/j.tics/2008.10.001, cited by: 319
[WFA08]Wu, Y. , Field, A. S. and Alexander, A. L. (2008). Computation of diffusion function measures in q-space using magnetic resonance hybrid diffusion imaging. IEEE Trans Med Imaging, 27, 858-65. [PDF] DOI: 10.1109/TMI.2008.922696, cited by: 20
[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. [PDF] 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. [PDF] DOI: 10.1073/pnas.0702812104
[GH07]Gobbini, M. I. and Haxby, J. V. (2007). Neural systems for recognition of familiar faces.. Neuropsychologia, 45, 32-41. [PDF] DOI: 10.1016/j.neuropsychologia.2006.04.015, cited by: 592
[GKB+07]Gobbini, M. I. , Koralek, A. C., Bryan, R. E., Montgomery, K. J. and Haxby, J. V. (2007). Two takes on the social brain: a comparison of theory of mind tasks.. J Cogn Neurosci, 19, 1803-14. [PDF] DOI: 10.1162/jocn.2007.19.11.1803, cited by: 314
[HHH+07]Hanson, S. J., Hanson, C., Halchenko, Y. O. , Matsuka, T. and Zaimi, A. (2007). Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action. Brain Struct Funct, 212, 231-44. [PDF] DOI: 10.1007/s00429-007-0160-2, cited by: 14
[HRH+07]Hanson, S. J., Rebecchi, R., Hanson, C. and Halchenko, Y. O. (2007). Dense mode clustering in brain maps. Magn Reson Imaging, 25, 1249-62. [PDF] DOI: 10.1016/j.mri.2007.03.013, cited by: 6
[KSG+07]Kennepohl, S., Sziklas, V., Garver, K. E., Wagner, D. D. and Jones-Gotman, M. (2007). Memory and the medial temporal lobe: hemispheric specialization reconsidered.. Neuroimage, 36, 969-978. [PDF] DOI: 10.1016/j.neuroimage.2007.03.049, cited by: 59
[WA07a]Wu, Y. and Alexander, A. L. (2007). Hybrid diffusion imaging. Neuroimage, 36, 617-29. [PDF] DOI: 10.1016/j.neuroimage.2007.02.050, cited by: 151
[WA07b]Wu, Y. and Alexander, A. L. (2007). A method for calibrating diffusion gradients in diffusion tensor imaging. J Comput Assist Tomogr, 31, 984-93. [PDF] DOI: 10.1097/rct.0b013e31805152fa
[ALW+06]Alexander, A. L., Lee, J. E., Wu, Y. and Field, A. S. (2006). Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging. Neuroimaging Clin N Am, 16, 299-309. DOI: 10.1016/j.nic.2006.02.006, cited by: 60
[AWV06]Alexander, A. L., Wu, Y. and Venkat, P. C. (2006). Hybrid diffusion imaging (HYDI). Conf Proc IEEE Eng Med Biol Soc, 1, 2245-8. [PDF] DOI: 10.1109/IEMBS.2006.259453
[GH06]Gobbini, M. I. and Haxby, J. V. (2006). Neural response to the visual familiarity of faces. Brain Res Bull, 71, 76-82. [PDF] DOI: 10.1016/j.brainresbull.2006.08.003, cited by: 134
[Hax06]Haxby, J. V. (2006). Fine structure in representations of faces and objects. Nature Neuroscience, 9, 1084-6.
[FWA05]Field, A. S., Wu, Y. and Alexander, A. L. (2005). Principal diffusion direction in peritumoral fiber tracts: Color map patterns and directional statistics. Ann N Y Acad Sci, 1064, 193-201. [PDF] DOI: 10.1196/annals.1340.037
[OJA+05]O, (2005). Partially Distributed Representations of Objects and Faces in Ventral Temporal Cortex. Journal of Cognitive Neuroscience, 17, 580-590. [PDF] DOI: 10.1162/0898929053467550, cited by: 294
[FAW+04]Field, A. S., Alexander, A. L., Wu, Y. , Hasan, K. M., Witwer, B. and Badie, B. (2004). Diffusion tensor eigenvector directional color imaging patterns in the evaluation of cerebral white matter tracts altered by tumor. J Magn Reson Imaging, 20, 555-62. [PDF] DOI: 10.1002/jmri.20169, cited by: 171
[GLS+04]Gobbini, M. I. , Leibenluft, E., Santiago, N. and Haxby, J. V. (2004). Social and emotional attachment in the neural representation of faces.. Neuroimage, 22, 1628-35. [PDF] DOI: 10.1016/j.neuroimage.2004.03.049, cited by: 250
[HPH+04a]Halchenko, Y. O. , and~S J Hanson, B. A. P. and Zaimi, A. (2004). Fusion of functional brain imaging modalities via linear programming. Biomedizinische Technik (Biomedical Engineering), 48, 102–4. [PDF] [URL]
[HMH04]Hanson, S. J., Matsuka, T. and Haxby, J. V. (2004). Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a “face’’ area?. NeuroImage, 23, 156-166. [PDF] DOI: 10.1016/j.neuroimage.2004.05.020, cited by: 267
[LH04]Lukas, J. and Hanke, M. (2004). Wie die Bilder laufen lernten: Kognitive Prozesse bei der Bewegungswahrnehmung. Scientia halensis, 4, 21-22.
[WFC+04]Wu, Y. , Field, A. S., Chung, M. K., Badie, B. and Alexander, A. L. (2004). Quantitative analysis of diffusion tensor orientation: theoretical framework. Magn Reson Med, 52, 1146-55. [PDF] DOI: 10.1002/mrm.20254
[HHG02]Haxby, J. V. , Hoffman, E. A. and Gobbini, M. I. (2002). Human neural systems for face recognition and social communication. Biological psychiatry, 51, 59-67. [PDF], cited by: 1080
[HGF+01]Haxby, J. V. , Gobbini, M. I. , Furey, M. L., Ishai, A., Schouten, J. L. and Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293, 2425-2430. [PDF] [PDF:Supp] DOI: 10.1126/science.1063736, cited by: 2730
[HPU+00]Haxby, J. V. , Petit, L., Ungerleider, L. G. and Courtney, S. M. (2000). Distinguishing the functional roles of multiple regions in distributed neural systems for visual working memory.. Neuroimage, 11, 145-56. [PDF] DOI: 10.1006/nimg.1999.0527, cited by: 386
[HH00]Hoffman, E. A. and Haxby, J. V. (2000). Distinct representations of eye gaze and identity in the distributed human neural system for face perception.. Nat Neurosci, 3, 80-4. [PDF] DOI: 10.1038/71152, cited by: 1141
[IUH00]Ishai, A., Ungerleider, L. G. and Haxby, J. V. (2000). Distributed neural systems for the generation of visual images. Neuron, 28, 979-90. [PDF] DOI: 10.1016/S0896-6273(00)00168-9, cited by: 510
[CMH99]Chao, L. L., Martin, A. and Haxby, J. V. (1999). Are face-responsive regions selective only for faces?. Neuroreport, 10, 2945-50. cited by: 163
[HUC+99]Haxby, J. V. , Ungerleider, L. G., Clark, V. P., Schouten, J. L., Hoffman, E. A. and Martin, A. (1999). The effect of face inversion on activity in human neural systems for face and object perception.. Neuron, 22, 189-99. [PDF] DOI: 10.1016/S0896-6273(00)80690-X, cited by: 613
[CMH98]Clark, V. P., Maisog, J. M. and Haxby, J. V. (1998). fMRI study of face perception and memory using random stimulus sequences. J Neurophysiol, 79, 3257-65. [PDF] [URL], cited by: 157
[CPM+98]Courtney, S. M., Petit, L., Maisog, J. M., Ungerleider, L. G. and Haxby, J. V. (1998). An area specialized for spatial working memory in human frontal cortex. Science, 279, 1347-51. [PDF] DOI: 10.1126/science.279.5355.1347, cited by: 1009
[CUK+97]Courtney, S. M., Ungerleider, L. G., Keil, K. and Haxby, J. V. (1997). Transient and sustained activity in a distributed neural system for human working memory. Nature, 386, 608-11. [PDF] DOI: 10.1038/386608a0, cited by: 976
[HUH+96]Haxby, J. V. , Ungerleider, L. G., Horwitz, B., Maisog, J. M., Rapoport, S. I. and Grady, C. L. (1996). Face encoding and recognition in the human brain.. Proc Natl Acad Sci U S A, 93, 922-7. [PDF] [URL], cited by: 521
[MBH+96]McIntosh, A. R., Bookstein, F. L., Haxby, J. V. and Grady, C. L. (1996). Spatial pattern analysis of functional brain images using partial least squares. Neuroimage, 3, 143-57. [PDF] [URL], cited by: 908
[HHU+94]Haxby, J. V. , Horwitz, B., Ungerleider, L. G., Maisog, J. M., Pietrini, P. and Grady, C. L. (1994). The functional organization of human extrastriate cortex: a PET-rCBF study of selective attention to faces and locations. J Neurosci, 14, 6336-53. [PDF] [URL], cited by: 1196
[HPL+93]Haxby, J. V. , Parasuraman, R., Lalonde, F. and Abboud, H. (1993). SuperLab: General-purpose Macintosh software for human experimental psychology and psychological testing. Behavior Research Methods Instruments and Computers, 25, 400-400. [PDF]
[HGH+91]Haxby, J. V. , et al. (1991). Dissociation of object and spatial visual processing pathways in human extrastriate cortex.. Proc Natl Acad Sci U S A, 88, 1621-5. [PDF] [URL], cited by: 1023

Editorials

[HH_ed15]Hanke, M. and Halchenko, Y. O. (2015). A communication hub for a decentralized collaboration on studying real-life cognition. F1000Research, 4. DOI: 10.12688/f1000research.6229.1

Review Articles

[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. [PDF] DOI: 10.1146/annurev-neuro-062012-170325, cited by: 112
[HHH+10]Hanke, M. , Halchenko, Y. O. , Haxby, J. V. and Pollmann, S. (2010). Statistical learning analysis in neuroscience: aiming for transparency. Frontiers in Neuroscience, 4, 38-43. [PDF] DOI: 10.3389/neuro.01.007.2010
[NPD+06]Norman, K. A., Polyn, S. M., Detre, G. J. and Haxby, J. V. (2006). Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Science, 10, 424-430. [PDF] DOI: 10.1016/j.tics.2006.07.005, cited by: 1479
[HHG00]Haxby, J. V. , Hoffman, E. A. and Gobbini, M. I. (2000). The distributed human neural system for face perception. Trends Cogn Sci, 4, 223-233. [PDF] DOI: 10.1016/S1364-6613(00)01482-0, cited by: 3566

Book Chapters

[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. [PDF], cited by: 26
[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. [PDF]
[HG11]Haxby, J. V. and Gobbini, M. I. (2011). Oxford Handbook of Face Perception. In Rhodes, Gillian and Calder, Andy and Johnson, Mark and Haxby, James V. (Eds.) ” (pp. ): Oxford University Press. [PDF], cited by: 96
[HHP05]Halchenko, Y. O. , Hanson, S. J. and Pearlmutter, B. A. (2005). Advanced Image Processing in Magnetic Resonance Imaging: fMRI, MRI, EEG, MEG. In Landini, Luigi and Positano, Vincenzo and Santarelli, Maria Filomena (Eds.) ” (pp. 223-65): CRC Press. [PDF] [URL], cited by: 33

Collection Chapters

[LWV+13]Lopez, R. B., Wagner, D. D. , Vohs, K. D. and Heatherton, T. F. (2013). Self-regulatory strength: neural mechanisms and implications for training. In Gendolla, Tops and Koole (Eds.) Biobehavioral Foundations of Self-regulation. (pp. ).
[WH13a]Wagner, D. D. and Heatherton, T. F. (2013). Self-Regulation and its Failure: Seven Deadly Threats to Self-Regulation. In Borgida, E. and Bargh, J. (Eds.) APA Handbook of Personality and Social Psychology: Volume 1. Attitudes and Social Cognition (pp. ), : American Psychological Association.
[WH13b]Wagner, D. D. and Heatherton, T. F. (2013). Emotion and Self-Regulation Failure. In Gross, J. J. (Eds.) Handbook of Emotion Regulation (2nd Edition) (pp. ), : Guilford Press.
[WH13c]Wagner, D. D. and Heatherton, T. F. (2013). Self-Regulation and its Failures. In Gazzaniga and Mangun (Eds.) The Cognitive Neurosciences (5th edition) (pp. ), : The MIT Press.
[WDH11]Wagner, D. D. , Demos, K. E. and Heatherton, T. F. (2011). Staying in control: the cognitive neuroscience of self-regulation and its failure. In Cacioppo, J. T. and Decety, J. (Eds.) The Oxford Handbook of Social Neuroscience (pp. ), New York: Oxford.
[WH10]Wagner, D. D. and Heatherton, T. F. (2010). Giving in to temptation: the emerging cognitive neuroscience of self-regulation failure. In Vohs, K. D. and Baumeister, R. F. (Eds.) Handbook of Self-Regulation: Research, Theory, and Applications (pp. 41-63), New York: Guilford Press.
[CSH+09]Conroy, B., Singer, B. D., Haxby, J. V. and Ramadge, P. J. (2009). fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity. In Bengio, Y. and Schuurmans, D. and Lafferty, J. and Williams, C. K. I. and Culotta, A. (Eds.) Advances in Neural Information Processing Systems 22 (pp. 378-386). [PDF]
[HKW08]Heatherton, T. F., Krendl, A. C. and Wagner, D. D. (2008). Neurophysiological Approaches to Understanding Behavior. In (Eds.) Human Behavior in a Military Context (pp. 217-238), : The National Academies Press.
[TSM+98]Tymchenko, L. I., Scorukova, J., Markov, S. and Halchenko, Y. O. (1998). Image Segmentation on the basis of spatial connected features. In (Eds.) Visnyk VSTU (pp. 39-43), Vinnytsya, Ukraine: VSTU University Press.
[MKH97]Martinyuk, T. B., Kogemiako, A. V. and Halchenko, Y. O. (1997). The model of associative processor for numerical data sorting. In (Eds.) Visnyk VSTU (pp. 19-23), Vinnytsya, Ukraine: VSTU University Press.

Conference Proceedings

[NHD+16]Nastase, S. A. , Halchenko, Y. O. , Davis, B. and Hasson, U. (2016). Cross-modal searchlight classification: Methodological challenges and recommended solutions. In (Eds.) 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI). [PDF] DOI: 10.1109/PRNI.2016.7552355, cited by: 1
[chen2014joint]Chen, P., Guntupalli, J. S. , Haxby, J. V. and Ramadge, P. J. (2014). Joint SVD-Hyperalignment for multi-subject FMRI data alignment. In (Eds.) Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on. cited by: 2
[lorbert2013collaborative]Lorbert, A., Guntupalli, J. S. , Eis, D. J., Haxby, J. V. and Ramadge, P. J. (2013). Collaborative denoising of multi-subject fMRI data. In (Eds.) Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on.
[HCW+12a]Hosseinbor, A. P., Chung, M. K., Wu, Y. , Fleming, J. O., Field, A. S. and Alexander, A. L. (2012). Extracting Quantitative Measures from EAP: A Small Clinical Study Using BFOR.. In Ayache, Nicholas and Delingette, Herv~Acopyright and Golland, Polina and Mori, Kensaku (Eds.) MICCAI (2), : Springer. [PDF] [URL], cited by: 2
[xu2012regularized]Xu, H., Lorbert, A., Ramadge, P. J., Guntupalli, J. S. and Haxby, J. V. (2012). Regularized hyperalignment of multi-set fMRI data. In (Eds.) Statistical Signal Processing Workshop (SSP), 2012 IEEE. cited by: 13
[TMH+11]Tille, A., Moeller, S., Hanke, M. and Halchenko, Y. O. (2011). Debian Med: Integrated software environment for all medical purposes based on Debian GNU/Linux. In Jordanova, M. and Lievens, F. (Eds.) Global Telemedicine and eHealth Updates: Knowledge Resources, Luxembourg: ISfTeH.
[MWA09]Chung, M. K., Wu, Y. and Alexander, A. L. (2009). 3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data. In (Eds.) ISBI, : IEEE. [PDF] DOI: 10.1109/ISBI.2009.5192996, cited by: 2
[HHP04]Halchenko, Y. O. , Hanson, S. J. and Pearlmutter, B. A. (2004). Fusion of Functional Brain Imaging Modalities using L-Norms Signal Reconstruction. In (Eds.) Proceedings of the Annual Meeting of the Cognitive Neuroscience Society. [PDF]
[HMH+04]Hanson, S. J., Matsuka, T., Hanson, C., Rebbechi, D., Halchenko, Y. O. , Zaimi, A. and Pearlmutter, B. A. (2004). Structural Equation Modeling of Neuroimaging Data: Exhaustive Search and Markov Chain Monte Carlo. In (Eds.) Human Brain Mapping. [PDF]
[TKG+00]Timchenko, L. I., Kutaev, Y. F., Gertsiy, A. A., Halchenko, Y. O. , Zahoruiko, L. V. and Mansur, T. (2000). Method for image coordinate definition on extended laser paths. In Gurevich, S. B. and Nazarchuk, Z. T. and Muravsky, L. I. (Eds.) Optoelectronic and Hybrid Optical/Digital Systems for Image and Signal Processing, : SPIE. [URL] DOI: 10.1117/12.388446, cited by: 1
[TKG+99]Timchenko, L. I., Kutaev, Y. F., Gertsiy, A. A., Zahoruiko, L. V., Halchenko, Y. O. and Mansur, T. (1999). Approach to parallel-hierarchical network learning for real-time image sequence recognition. In Miller, J. W. V. and Solomon, S. S. and Batchelor, B. G. (Eds.) Machine Vision Systems for Inspection and Metrology VIII, : SPIE. DOI: 10.1117/12.360283

Master Theses

[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.

Miscellaneous

[Ha12:hoxbug]Halchenko, Y. O. (2012). Incorrect probabilities in Harvard-Oxford-sub Left hemisphere. ”. [URL]

Interviews

[SFN13]Halchenko, Y. O. (2013). NeuroDebian: from disjoint tools and data to robust turnkey platform for neuroimaging and beyond. ”. [URL]
[FLOSS4SCIENCE11]FLOSS for Science, (2011). An interview with the NeuroDebian team. ”. [URL]
[INCF11]INCF, (2011). NeuroDebian: the value of an integrated tool suite. ”. [URL]

Posters

[VH+PYCON17]Visconti di Oleggio Castello, M. and Halchenko, Y. O. (2017). DueCredit - automagically collect citations for software, methods, and data you use. PyCON 2017, Portland, Oregon.
[HPH+OHBM16b]Halchenko, Y. O. , Poldrack, B. and Hanke, M. (2016). DataLad – decentralized data distribution for consumption and sharing of scientific datasets. Organization of Human Brain Mapping Annual Meeting, Geneva, Switzerland. Talk. [PDF]
[HV+OHBM16]Halchenko, Y. O. and Visconti di Oleggio Castello, M. (2016). DueCredit - automagically collect citations for software, methods, and data you use. Organization of Human Brain Mapping Annual Meeting, Geneva, Switzerland. Talk. [PDF]
[NGH+SFN16]Nastase, S. A. , Guntupalli, J. S. , Haxby, J. V. and Halchenko, Y. O. (2016). Localizing functional regions of interest based on responses to dynamic naturalistic stimuli. Poster presented at the annual meeting of the Society for Neuroscience, Chicago, IL. [PDF]
[GAG+OHBM15]Ghosh, S., et al. (2015). NIDM-Workflow - The Evolution of Provenance in Neuroimaging. Organization of Human Brain Mapping Annual Meeting, Honolulu HI, USA. Poster.
[GWH+OHBM15]Gorgolewski, K., Wheeler, K., Halchenko, Y. O. , Poline, J. B. and Poldrack, R. (2015). The impact of shared data in neuroimaging: the case of OpenfMRI.org. Organization of Human Brain Mapping Annual Meeting, Honolulu HI, USA. Poster. [PDF] [URL]
[GH_SFN15]Guntupalli, J. S. and Tsao, D. Y. (2015). Functional connectivity of categoryselective patches in macaque IT cortex.. Annual meeting of the Society for Neuroscience, Chicago, USA.
[NVH+SFN15]Nastase, S. A. , Visconti di Oleggio Castello, M., Halchenko, Y. O. , Connolly, A. C. and Oosterhof, N. N. (2015). Attention alters animal and action representation in highly-distributed functionally-defined cortical parcels. Poster presented at the annual meeting of the Society for Neuroscience, Chicago, IL. [PDF]
[NKM+OHBM15]Nichols, N., et al. (2015). Application of the Neuroimaging Data Model to Represent and Exchange Primary and Derived Data. Organization of Human Brain Mapping Annual Meeting, Honolulu HI, USA. Poster.
[PDK+OHBM15]Poline, J. B., et al. (2015). How to make brain imaging research efficient and reproducible: building software and standards. Organization of Human Brain Mapping Annual Meeting, Honolulu HI, USA. Poster.
[VNH+SFN15]Visconti di Oleggio Castello, M., Nastase, S. A. , Gobbini, M. I. , Haxby, J. V. and Halchenko, Y. O. (2015). Finding cortical patches of shared representations: a comparison of clustering algorithms on representational geometries, and the effect of cross­-validation to reduce physiological noise. Poster presented at the annual meeting of the Society for Neuroscience, Chicago, IL. [PDF]
[VNH+OHBM15]Visconti di Oleggio Castello, M., Nastase, S. A. , Haxby, J. V. , Gobbini, M. I. and Halchenko, Y. O. (2015). Clustering cortical searchlights based on shared representational geometry. Poster presented at the annual Meeting of the Organization for Human Brain Mapping, Honolulu, HI. [PDF]
[HH14]Halchenko, Y. O. and Hanke, M. (2014). Converging catalogues, warehouses, and deployment logistics into a federated ‘data distribution’. Annual PI meeting of Collaborative Research in Computational Neuroscience (CRCNS) program, Tempe, AZ. [PDF]
[NCO+OHBM14]Nastase, S. A. , Connolly, A. C. , Oosterhof, N. N. , Halchenko, Y. O. , Gors, J. , Gobbini, M. I. and Haxby, J. V. (2014). Attention locally modulates the discriminability of high-level, task-relevant representations. Poster presented at the annual meeting of the Organization for Human Brain Mapping, Hamburg, Germany. [PDF]
[NCO+VSS14]Nastase, S. A. , Connolly, A. C. , Oosterhof, N. N. , Halchenko, Y. O. , Gors, J. , Gobbini, M. I. and Haxby, J. V. (2014). Attentional allocation locally warps representational space. Poster presented at the annual meeting of the Vision Sciences Society, St. Pete Beach, FL. [PDF]
[CSG+HBM13]Connolly, A. C. , Sha, L., Gobbini, M. I. and Haxby, J. V. (2013). Decoding representations of actions of other species using multivariate pattern analysis. Organization for Human Brain Mapping Annual Meeting, Seattle, WA 2013. Poster. [PDF]
[CSG+VSS13]Connolly, A. C. , Sha, L., Gobbini, M. I. and Haxby, J. V. (2013). Representations of action categories generalize across the phylum, genus, and species of the actor. Vision Sciences Society Annual Meeting, Naples, FL 2013. Poster. [PDF]
[GH_OHBM13]Guntupalli, J. S. and Haxby, J. V. (2013). Facilitating functional brain atlases using searchlight-based inter-subject hyperalignment.. Organization of Human Brain Mapping Annual Meeting, Seattle, USA. [PDF]
[CGG+SFN12]Connolly, A. C. , Guntupalli, J. S. , Gors, J. and Haxby, J. V. (2012). Decoding categorical representations of human actions from brain activity associated with viewing point-light movies. Society for Neuroscience Annual Meeting, New Orleans, 2012. Poster. [PDF]
[GHRH_SFN12]Guntupalli, J. S. , Hanke, M. , Ramadge, P. and Haxby, J. V. (2012). Inter-subject functional connectivity hyperalignment of neural representational spaces.. Annual meeting of the Society for Neuroscience, New Orleans, USA. [URL]
[HGG+12]Halchenko, Y. O. , Gors, J. , Guntupalli, J. S. , Haxby, J. V. and Gobbini, M. I. (2012). Investigation of the familiar face recognition model. Society for Neuroscience Annual Meeting, New Orleans. Poster. [PNG] [URL]
[SHC_SFN12]Sha, L., Haxby, J. V. and Connolly, A. C. (2012). The representation of object categories along an animacy continuum in the human visual system. Society for Neuroscience Annual Meeting, New Orleans. Poster. [PNG]
[SHC_SFN12]Sha, L., Haxby, J. V. and Connolly, A. C. (2012). The representation of object categories along an animacy continuum in the human visual system. Society for Neuroscience Annual Meeting, New Orleans. Poster. [PNG]
[CGH+11]Connolly, A. C. , Guntupalli, J. S. , Hanke, M. , Gobbini, M. I. and Haxby, J. V. (2011). More or less human: The animate-inanimate distinction in visual cortex may be more continuum than distinction. Cognitive Neuroscience Society 2011 Annual Meeting, San Francisco, CA. Poster. [PNG]
[CWH+11]Connolly, A. C. , Wu, Y. , Halchenko, Y. O. , Guntupalli, J. S. and Haxby, J. V. (2011). Scanning parameters for optimal decoding using a 32-channel head coil for fMRI. Vision Sciences Society Annual Meeting, Naples, FL. Poster. [PNG]
[GH11]Guntupalli, J. S. and Haxby, J. (2011). Deriving a neural basis for ventral temporal cortex. ”. [PDF] [URL] DOI: 10.1167/11.11.880, cited by: 1
[CH10a]Connolly, A. C. and Haxby, J. V. (2010). Similarity-based pattern analysis reveals an emergent taxonomy of animal species along the object vision pathway. Rovereto Workshop on Concepts Actions and Objects 2010 - CAOS10, Rovereto, Italy. Poster.
[CH10b]Connolly, A. C. and Haxby, J. V. (2010). Neural similarity reveals taxonomic organization for animate categories in object-vision pathway. Organization of Human Brain Mapping Annual Meeting, Barcelona, Spain. Poster.
[CH10c]Connolly, A. C. and Haxby, J. V. (2010). Similarity-based multi-voxel pattern analysis reveals an emergent taxonomy of animal species along the object vision pathway. Vision Sciences Society 10th Annual Meeting, Naples, FL. Poster.
[GCH10a]Guntupalli, J. S. , Connolly, A. C. and Haxby, J. V. (2010). Deriving universal neural representational space of objects. Rovereto Workshop on Concepts Actions and Objects 2010 - CAOS10, Rovereto, Italy. Poster. [PDF]
[GCH10b]Guntupalli, J. S. , Connolly, A. C. and Haxby, J. V. (2010). Inter-subject hyperalignment of neural representational spaces to derive common categorical patterns. Organization of Human Brain Mapping Annual Meeting, Barcelona, Spain. Poster. [PDF]
[GCH10c]Guntupalli, J. S. , Connolly, A. C. and Haxby, J. V. (2010). In search of functional brain atlases: Deriving common categorical representational patterns across individuals in ventral visual pathway. Vision Sciences Society Annual Meeting, Naples, FL. Poster. [PDF]
[GH10]Guntupalli, J. S. , Connolly, A. C. and Haxby, J. V. (2010). In search of functional brain atlases: Deriving common categorical representational patterns across individuals in ventral visual pathway. ”. [PDF] [URL] DOI: 10.1167/10.7.978
[GH_CNS10]Guntupalli, J. S. and Haxby, J. V. (2010). In search of a common representational space for decoding: comparing anatomical alignment, functional voxel matching, and hyperalignment.. Cognitive Neuroscience Society 2010 Annual Meeting, Montreal Candada. [PDF]
[HHH10]Hanke, M. , Halchenko, Y. O. , Haxby, J. V. and Pollmann, S. (2010). Improving efficiency in cognitive neuroscience research with NeuroDebian. Annual meeting of the Cognitive Neuroscience Society, Montreal, Canada. [PDF]
[GH_SFN09]Guntupalli, J. S. and Haxby, J. V. (2009). Inter-subject hyperalignment of neurl representational space.. Annual meeting of the Society for Neuroscience, Chicago, USA. [PDF]
[CWN+08]Connolly, A. C. , Weber, M., Norman, K. A., Thompson-Schill, S. L. and Osherson, D. (2008). Investigations in measuring neural similarity among natural kind representation using fMRI. Cognitive Neuroscience of Visual Knowledge: Where Vision Meets Memory Conference, Tufts University, Medford, MA. Poster.
[CWO+08]Connolly, A. C. , Weber, M., Osherson, D., Norman, K. A. and Thompson-Schill, S. L. (2008). Comparing apples and oranges: Similarity among patterns of neural activation reflects behavioral judgments of concept similarity. Cognitive Neuroscience Society Annual Meeting, San Francisco. Poster.
[CGT06]Connolly, A. C. , Gleitman, L. R. and Thompson-Schill, S. L. (2006). Whats in a Word?: Reevaluating Conceptual Combination with Prototypes. Annual Meeting of the Psychonomic Society, Houston, TX. Poster.
[DPM+06]Detre, G., Polyn, S. M., Moore, C. D., Natu, V. S., Singer, B. D., Cohen, J. D., Haxby, J. V. and Norman, K. A. (2006). The Multi-Voxel Pattern Analysis (MVPA) toolbox. ”. [URL]
[Con04]Connolly, A. C. (2004). Prototypes still have a PET FISH Problem. American Psychological Society Annual Convention, Chicago. Poster.
[CGG+03]Connolly, A. C. , Gleitman, L. R., Gleitman, H. and Fodor, J. A. (2003). The role of prototypes in the interpretation of adjective-noun combinations and combined categories. 16th Annual CUNY Conference on Sentence Processing, Cambridge, MA. Poster.
[Con00b]Connolly, A. C. (2000). Why Children Say *Goed, A Study of Overregularization Errors in Language Acquisition in Children with Specific Language Impairments. The Henry Rutgers Scholars Program poster session, New Brunswick, NJ. Poster.

Talks

[Hal+OHBM16]Halchenko, Y. O. (2016). Resources for practicing PR4NI – pragmatic cursory overview. Organization of Human Brain Mapping Annual Meeting, Tutorials, Geneva, Switzerland. Talk. [URL]
[HPH+OHBM16a]Halchenko, Y. O. , Poldrack, B. and Hanke, M. (2016). DataLad – decentralized data distribution for consumption and sharing of scientific datasets. Organization of Human Brain Mapping Annual Meeting, Geneva, Switzerland. Talk. [URL]
[GH+OHBM15]Halchenko, Y. O. (2015). Overview of statistical evaluation techniques adopted by publicly available MVPA toolboxes. Organization of Human Brain Mapping Annual Meeting, Honolulu HI, USA. Talk. [URL]
[NOH+OHBM15]Nastase, S. A. , Visconti di Oleggio Castello, M., Haxby, J. V. , Gobbini, M. I. and Halchenko, Y. O. (2015). Clustering cortical searchlights based on shared representational geometry. Oral presentation at the annual meeting of the Organization for Human Brain Mapping, Honolulu, HI.
[Gun13]Guntupalli, J. S. , Connolly, A. C. and Haxby, J. V. (2013). Exploring the scale of common dimensions of information decoding in human ventral temporal cortex. Talk at the Symposium for Decoding and the spatial scale of cortical organization at the Annual meeting of the Vision Sciences Society, Naples, USA. [PDF]
[Gun12]Guntupalli, J. S. (2012). Hyperalignment: Building common models of neural representational spaces. Invited talk for the NeuroImaging Colloquium at Univeristy of Magdeburg, Magdeburg, Germany. [PDF]
[Gun11]Guntupalli, J. S. and Haxby, J. (2011). Inter-subject hyperalignment of neural representational spaces in the auditory cortex. Talk at the Organization of Human Brain Mapping Annual Meeting, Quebec City, Canada. [PNG]
[Con10a]Connolly, A. C. (2010). Similarity-based pattern analysis reveals an emergent taxonomy of animal species along the object vision pathway. Travel Award Winner - Rovereto Workshop on Concepts Actions and Objects 2010 - CAOS10, Rovereto, Italy. Talk.
[Con10b]Connolly, A. C. (2010). Mulit-voxel similarity structure analysis reveals taxonomy of animal species in human ventral temporal cortex. Slide Presentation at Cognitive Neurosciences Society 2010 Annual Meeting, Montreal, Canada. Talk.
[Con10c]Connolly, A. C. (2010). Similarity-based pattern analysis reveals semantic category structure in human object vision cortex. 24th Annual Neuroscience Day at Dartmouth, Hanover, NH. Talk.
[Gun10a]Guntupalli, J. S. , Connolly, A. C. and Haxby, J. (2010). Inter-subject hyperalignment of neural representational spaces to derive common categorical patterns. Talk at the Organization of Human Brain Mapping Annual Meeting, Barcelona, Spain. [PDF]
[Gun10b]Guntupalli, J. S. and Haxby, J. (2010). Deriving universal neural representational spaces for decoding brain states. Talk at the symposium on Decoding Cognitive States from Neuroimaging Data at the 7th International Conference on Cognitive Science, Beijing, China. [PDF]
[Con05a]Connolly, A. C. (2005). Category-specific differences in conceptual knowledge between congenitally blind and sighted subjects. Winner of Graduate Students Present Award - Cognitive Neuroscience. Talk.
[Con05b]Connolly, A. C. (2005). Category effects in conceptual knowledge in congenitally blind subjects. Cognitive Neuroscience at Penn and Princeton: Graduate Student Symposium, Princeton. Talk.
[GC04]Gleitman, L. R. and Connolly, A. C. (2004). Prototypes Dont Compose, Even as Defaults. Compositionality, Concepts, and Cognition, an Interdisciplinary Conference in Cognitive Science, Duesseldorf, Germany. Talk.

Ph.D. Theses

[Hal09]Halchenko, Y. O. (2009). Predictive Decoding of Neural Data (Doctoral dissertation). NJIT, Newark, NJ, USA. [PDF] [URL]
[Han09]Hanke, M. (2009). Advancing the Understanding of Brain Function with Multivariate Pattern Analysis (Doctoral dissertation). Otto-von-Guericke-University, Magdeburg, Germany. [PDF] [URL]
[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.
[W06]Wu, Y. (2006). Diffusion MRI: Tensors and beyond (Doctoral dissertation). `THE UNIVERSITY OF WISCONSIN-MADISON, `.

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