Selected Publications

David J. Bucci

David J. Bucci

More Citations on PubMed

Jiang, M.Y., DeAngeli, N.E., Bucci, D.J., and Todd, T.P. (in press) Retrosplenial cortex has a time-dependent role in memory for visual stimuli. Behavioral Neuroscience.

DeAngeli, N.E., Miller, S.B., Meyer, H.C, and Bucci, D.J. (2017) Increased sign tracking behavior in adolescent rats. Developmental Psychobiology, 59, 840-847.

Meyer, H.C. and Bucci, D.J. (2016) Imbalanced activity in the orbitofrontal cortex and nucleus accumbens impairs behavioral inhibition. Current Biology 26, 2834-2839.

Todd, T.P., Mehlman, M.L., Keene, C.S., DeAngeli, N.E., and Bucci, D.J. (2016) Retrosplenial cortex is required for the retrieval of remote memory for auditory cues. Learning and Memory, 23, 278-288.

Chang, S.E., Todd, T.P., Bucci, D.J., and Smith, K.S. (2015) Chemogenetic manipulation of ventral pallidal neurons impairs acquisition of sign- tracking in rats. European Journal of Neuroscience, 42, 3105-3116.

Robinson, S. Todd, T.P., Pasternak, A.R., Luikart, B.W., Skelton, P.D., Roth, B.L., Urban, D.J., and Bucci, D.J. (2014) Chemogenetic silencing of retrosplenial cortex neurons disrupts sensory preconditioning. Journal of Neuroscience, 34, 10982–10988.

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Luke J. Chang

Fareri, D.S.*, Chang, L.J.*, Delgado, M.R.  (2015).  Neural and computational mechanisms underlying interpersonal collaboration.  Journal of Neuroscience, 35(21), 8170-8180. *denotes equal contributions


Chang, L.J., Gianaros, P., Manuck, S., Krishnan, K., & Wager, T.D. (2015).  A sensitive and specific neural signature for picture induced affect.  PLoS Biology, 13(6), 1-28. 


Sanfey, A.G., Stallen, M., & Chang, L.J. (2014). Norms and expectations in social decision-making. Trends In Cognitive Science, 18(4), 172-174.


Chang, L.J. & Koban, L. (2013).  Modeling emotion and learning of norms in social interactions.  Journal of Neuroscience, 33(18), 7615-7617. 


Chang, L.J., Yarkoni, T., Khaw, M.W., & Sanfey, A.G. (2013).  Decoding the role of the human insula in human cognition: Functional parcellation and large-scale reverse inference.  Cerebral Cortex, 23(3), 739-749. 


Chang, L.J., & Sanfey, A.G. (2013).  Great expectations: Neural computations underlying the use of social norms in decision-making. Social Cognitive Affective Neuroscience, 8(3), 277-284.


Fareri, D.S., Chang, L.J., Delgado, M.R. (2012).  Effects of experienced social information on trust decisions and neural reward circuitry.  Frontiers in Decision Neuroscience, 6, 1- 17. 


Kahnt, T., Chang, L.J., Park, S.Q., Heinzle, J., Haynes, J.D.  (2012).  Connectivity based parcellation of the human orbitofrontal cortex.  Journal of Neuroscience, 32(8), 6240-6250. 


Harle, K.M., Chang, L.J., van’t Wout, M., & Sanfey, A.G.  (2012). The neural underpinnings of mood-driven biases in social economic decision-making.  Neuroimage, 61(1), 32-40. 


Chang, L.J., Smith, A., Dufwenberg, M., & Sanfey, A.G.  (2011).  Triangulating the neural, psychological, and economic bases of guilt aversion. Neuron, 70, 560-572. 


Chang, L. J., Doll, B., Van’t Wout, M., Frank, M., Sanfey, A.G.  (2010).  Seeing is believing: Trustworthiness as a dynamic belief.  Cognitive Psychology, 61(2), 87-105. 


Catherine P. Cramer

Catherine P. Cramer

Bateman, S. T., Lichtman, A. H., and Cramer, C. P. (1990). Peripheral serotonergic inhibition of suckling. Pharmacology Biochemistry & Behavior, 37, 219-225.

Cramer, C. P., Thiels, E., and Alberts, J. R. (1990). Weaning in rats: I. Maternal behavior. Developmental Psychobiology, 23, 479-493.

Blass, E. M., Cramer, C. P., and Fanselow, M. S. (1993). The development of morphine- induced antinociception in neonatal rats. Pharmacology, Biochemistry & Behavior, 44, 643- 649.


Brad Duchaine

Dalrymple, K. & Duchaine, B. (2016). Impaired face detection may explain some but not all cases of developmental prosopagnosia. Developmental Science19(3), 440-451.

Duchaine, B. & Yovel, G. (2015). A revised neural framework for face processing. Annual Review of Vision Science, 1: 393-416.

Rezlescu, C., Pitcher, D., Barton, J.J.S., & Duchaine, B. (2014). Normal acquisition of expertise with greebles in two cases of acquired prosopagnosia. Proceedings of the National Academy of Sciences, 111: 5123-5128.

Eimer, M, Gosling, A, & Duchaine, B. (2012). Electrophysiological markers of covert face recognition in developmental prosopagnosia. Brain, 135: 542-54.

Wilmer, JB, Germine, L, Chabris, CF, Chatterjee, G, Williams, W, Loken, E, Nakayama, K, & Duchaine B. (2010). Human face recognition ability is highly heritable. Proceedings of the National Academy of Sciences USA, 107: 5238-5241.

Garrido, L, Furl, N, Draganski, B, Weiskopf, N, Stevens, J, Tan, G C-Y, Driver, J, Dolan, R, & Duchaine, B. (2009). VBM reveals reduced gray matter volume in the temporal cortex of developmental prosopagnosics. Brain, 132, 3443-3455.

Pitcher, D, Charles, L, Devlin, J, Walsh, V, & Duchaine, B (2009). Triple dissociation between faces, bodies, and objects in extrastriate cortex. Current Biology, 19: 319-324.

Duchaine, B, Germine, L, & Nakayama, K. (2007). Family resemblance: Ten family members with prosopagnosia and within-class object agnosia. Cognitive Neuropsychology, 24: 419-430.

Duchaine, B, Yovel, G, Butterworth, E., & Nakayama, K. (2006). Prosopagnosia as an impairment to face-specific mechanisms: Elimination of the alternative hypotheses in a developmental case. Cognitive Neuropsychology, 23: 714-747.

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Richard H. Granger, Jr.

Publications available at:

Rodriguez A, Granger R (2017) The differential geometry of perceptual similarity. Brain Engineering Laboratory, Technical Report 2017.2. (In submission)  RGPEG.pdf


Rodriguez A, Granger R (2015) The grammar of mammalian brain capacity. Theoretical Computer Science C (TCS-C).  doi: 10.1016/j.tcs.2016.03.021


 Lee Y, Janata P, Frost C, Martinez Z, Granger R (2014) Melody recognition revisited: influence of melodic gestalt on the encoding of relational pitch information. Psychonomic Bulletin & Review, 1-7.  doi: 10.3758/ s13423-014-0653-y

Fogelson S, Kohler P, Miller K, Granger R, Tse P (2014) Unconscious neural processing differs with method used to render stimuli invisible. Frontiers in Psychol., 5: 601. doi: 10.3389/fpsyg.2014.00601

Chandrashekar A, Torresani L, Granger R (2013) Learning what is where from unlabeled images: joint localization and clustering of foreground objects. Machine Learning, doi: 10.1007/s10994-013-5330-2

Lee Y, Turkeltaub P, Granger R, Raizada R (2012) Categorical speech processing in Broca’s area: An fMRI study using multivariate pattern-based analysis. J Neurosci, 32: 3942-3948.

Chandrashekar A, Granger R (2012) Derivation of a novel efficient supervised learning algorithm from cortical-subcortical loops. Frontiers Comput Neurosci., 5: 50. doi: 10.3389/fncom.2011.00050

Granger R (2011). How brains are built: Principles of computational neuroscience. Cerebrum; The Dana Foundation.

Moorkanikara J, Felch A, Chandrashekar A, Dutt N, Granger R, Nicolau A, Veidenbaum A. (2009) Brain-derived vision algorithm on high-performance architectures. Int’l Journal of Parallel Prog., 37: 345-369. 

Lee Y, Granger R, Raizada R (2009) Distributed and overlapping neural representations of the /ba/ - /da/ phonetic contiuum: Comparison of multivoxel pattern-based analysis against adaptation-fMRI. NeuroImage, 47: S129.

Big Brain (G.Lynch & R.Granger), Palgrave Macmillan Press, 2008.

Felch A, Granger R (2008) The hypergeometric connectivity hypothesis: Divergent performance of brain circuits with different synaptic connectivity distributions. Brain Research doi:10.1016/j.brainres.2007.06.04

Granger R (2006) Engines of the Brain: The computational instruction set of human cognition. AI Magazine 27:15-32. 

Granger R (2006) The evolution of computation in brain circuitry. Behavioral & Brain Sci 29: 17-18. pdf

Rodriguez A, Whitson J, Granger R (2004) Derivation and analysis of basic computational operations of thalamocortical circuits. J. Cognitive Neurosci, 16: 856-877.

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James V. Haxby

Haxby, J.V., Connolly, A.C., Guntupalli, J.S. (2014). Decoding neural representational spaces using multivariate pattern analysis. Annual Review of Neuroscience, 37, 435-456.

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. [PDF] [URL] DOI: 10.1016/j.neuroimage.2013.05.009

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

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. [PDF] DOI: 10.1155/2012, cited by: 4

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: 16

Haxby, J. V. (2012). Multivariate pattern analysis of fMRI: The early beginnings. NeuroImage, In press. DOI: 10.1016/j.neuroimage.2012.03.016, cited by: 3

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

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 N. Kriegeskorte and G. Kreiman (Eds.) Understanding visual population codes: Toward a common multivariate framework for cell recording and functional imaging (pp. ): MIT Press. cited by: 3

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 N. Kriegeskorte and G. Kreiman (Eds.) Understanding visual population codes: Toward a common multivariate framework for cell recording and functional imaging (pp. ): MIT Press. cited by: 3

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: 21

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. cited by: 16

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: 38

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

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

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: 70

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: 36

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

Conroy, B., Singer, B. D., Haxby, J. V. and Ramadge, P. J. (2009). fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity. In Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta (Eds.) Advances in Neural Information Processing Systems 22 (pp. 378–386). [PDF]

Furey, M L, P Pietrini, J V Haxby, and W C Drevets, “Selective Effects of Cholinergic Modulation on Task Performance during Selective Attention,” Neuropsychopharmacology , 33:4 (2008) 913-923.

Todorov, A, M I Gobbini, K K Evans, and J V Haxby, “Spontaneous Retrieval of Affective Person Knowledge in Face Perception,” Neuropsychologia , 45:1 (2007) 163-173.

Ricciardi, E, N Vanello, L Sani, C Gentili, E Pasquale Scilingo, L Landini, M Guazzelli, A Bicchi, J V Haxby, and P Pietrini, “The Effect of Visual Experience on the Development of Functional Architecture in hMT,” Cerebral Cortex , 17:12 (2007) 2933-2939.

Montgomery, K J, N Isenberg, and J V Haxby, “Communicative Hand Gestures and Object-directed Hand Movements Activated the Mirror Neuron System,” Social Cognitive and Affective Neuroscience , 2:2 (2007) 114-122.

Haxby, J V, and M I Gobbini, “The Perception of Emotion and Social Cues in Faces,” Neuropsychologia , 45:1 (2007) 1.

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: 282

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: 156

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: 57

Haxby, J. V. (2006). Fine structure in representations of faces and objects. Nature Neuroscience, 9, 1084–6.

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Melissa R. Herman

Melissa R. Herman

Herman, M.R., 2020, “Methods of Measuring Multiracial Americans,” The Palgrave International Handbook of Mixed Racial and Ethnic Classification, Palgrave/MacMillan.

"Both personal and public:  Measuring attitudes toward intermarriage,” with Mary Campbell, Journal of Social Issues, 71, 4, 712-733 (2015). 

“I wouldn’t, but you can: attitudes toward interracial marriage,” with Mary Campbell, Social Science Research, 41, 343-358 (2012).

“Do You See What I Am?  How observers’ backgrounds affect their perceptions of multiracial faces.” Social Psychology Quarterly, 73, 1, 58-78 (2010). 

“Politics and Policies: Attitudes toward multiracial people and political candidates,” with Mary Campbell, Ethnic and Racial Studies, 33, 9, 1511-1536 (2010).

“The Black-White-Other Test Score Gap: Testing Theories of Academic Performance Among Multiracial and Monoracial Adolescents,” Sociology of Education , 82, 1, 20-46 (2009).

“Phenotype and social class: an in-depth look at multiracial Hispanic youth,” with Maria Castilla, Chapter 12 in Multiracial Americans and Social Class, edited by Kathleen Korgen, New Brunswick, NJ: Routledge (2010).

“Ethnicity and Image: Correlates of Crowd Affiliation Among Ethnic Minority Youth,” with B B Brown, J V Hamm, and D J Heck, Child Development , 79, 3, 528-546 (2008).

“Racial Identification among Multiracial Youth: Implications for Adjustment,” The Handbook of Race, Racism, and the Developing Child , S Quintana and C McKowan (eds.) 203-225 (2008).

“Forced to Choose: Some Determinants of Racial Identification in Multi-racial Adolescents,” Child Development , 75, 3,  730-748 (2004).

“How Neighborhoods, Families, Peer Groups, and Schools Jointly Affect Changes in Early Adolescent Development,” with T D Cook, M Phillips, and R A Settersten, Child Development , 73, 4, 1283-1309 (2002).

“The Influence of Family Regulation, Connection, and Psychological Autonomy on Six Measures of Adolescent Functioning,” with S M Dornbusch and J R Herting, Journal of Adolescent Research , 12, 1, 34-67 (1997).

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William J Hudenko

Hudenko, W.J., & Magenheimer, M. (2012). Listeners prefer the laughs of children with autism to those of typically developing children. Autism: The International Journal of Research and Practice. 16(6), 641-55.

Hudenko, W.J., Stone, W., & Bachorowski, J.-A. (2009). Laughter differs in children with autism: An acoustic analysis of laughs produced by children with and without the disorder. Journal of Autism and Developmental Disorders, 39(10), 1392-1400.

Kaplan, P.A., Bachorowski, J.-A., Smoski, M.J., & Hudenko, W.J. (2002). Infants of depressed mothers, although competent learners, fail to learn in response to their own mothers’ infant-directed speech. Psychological Science, 13, 268-271.

Howard C. Hughes

Howard C. Hughes

Berryhill, M.E., Chiu, T., & Hughes, H.C. Smooth pursuit of nonvisual motion.
Journal of Neurophysiology, 2006, 96 (1): 461-464.

Kveraga, K., Berryhill, M. & Hughes, H.C. Directional uncertainty in visually guided pointing.  Perceptual and Motor Skills, 2006, 102 (1): 125-132.

Berryhill, M.E., Kveraga, K., Webb, L. & Hughes, H.C. Effect of uncertainty on the time course for selection of verbal name codes.  Perception & Psychophysics, 2005, 67 (8): 1437-1445.

Kveraga, K. & Hughes, H.C. Effects of stimulus-response uncertainty on saccades to near-threshold targets.  Experimental Brain Research, 2005, 162 (3): 401-405.

Berryhill, M., Kveraga, K. & Hughes, H. C. Effects of directional uncertainty on visually-guided joystick pointing.  Perceptual & Motor Skills, 2005, 100, 267-274

Boucher, L., Lee, A., Cohen, Y.E. & Hughes, H.C. Ocular tracking as a measure of auditory motion perception. J. Physiol. (Paris), 2004, 98, 235-248.

Berryhill, M., Kveraga, K. & Hughes, H.C. Effects of directional uncertainty on ocular and manual tracking. Cognitive Brain Research, 2004, 19, 100-102.

Tse, Peter U.andHughes, H. C., “Visual pattern and form perception,” in New Encyclopedia of Neuroscience , (2004).

Kveraga, K., Boucher, L., & Hughes, H.C. Saccades operate in violation of Hicks' Law. Experimental Brain Research 2002, 146 (3), 307-314.

Hughes, H. C., Sensory Exotica: Delfini, Api, Pipistrelli e I Loro Sistemi Sensoriali, (2002).

Hughes, H. C., Sensory Exotica: A World Beyond Experience , (1999, paperback 2001).

Boucher, L.B., Groh, J.M. & Hughes, H.C. Afferent delays and the mislocalization of perisaccadic stimuli, Vision Research, 2001, 41, 2631-2644.

Kveraga, K., Fendrich, R. & Hughes, H.C. Ocular pursuit of predicted motion trajectories. Experimental Brain Research, 2001, 138 (3): 393-397.

Hughes, H.C., Darcey, T. M., Barkan, H.I., Williamson, P.D. & Roberts, D.W & Aslin, C.H. Responses of human auditory association cortex to the omission of an expected acoustic event. NeuroImage, 2001, 13, 1073-1089.

Darcey, T. M., Hughes, H. C., Barkan, H. I., Saykin, A. J., “Preoperative functional mapping using intracranial EEG activation methods,” in Neocortical Epilepsy: Advances in Neurology , P.D. Williamson, et al. (eds.), 84 (2000) 331-341.

Hughes, H.C. Sensory Exotica: A World Beyond Human Experience, 1999; paperback edition 2001, The MIT Press.
** Scholarly Division of the Association of American Publishers 1999 Best Book in Biological Sciences **

Hughes, H.C., Nelson, M. & Aronchick, D. Spatial characteristics of visual-auditory summation in human saccades. Vision Research, 1998, 38, 3955-3963.

Hughes, H.C. & Townsend, J.T. Varieties of binocular interaction in human vision. Psychological Science, 1998, 9, 53-60.

Hughes, H.C., Aronchick, D.A. & Nelson, M.D. Spatial scale interactions and visual tracking performance. Perception, 1997, 26, 1047-1058.

Hughes, H.C., Nozawa, G. & Kitterle, F. Global precedence, spatial frequency channels, and the statistics of natural images. Journal of Cognitive Neuroscience, 1996, 8, 197-230.

Reuter-Lorenz, P.A., Nozawa, G., Gazzaniga, M.S. & Hughes, H.C. The fate of neglected targets: A chronometric analysis of redundant target effects in the bisected brain. Journal of Experimental Psychology: Human Perception and Performance, 1995, 21, 211-230.

Nozawa, G., P.A. Reuter-Lorenz & Hughes, H.C. Parallel and serial processes in the human oculomotor system: Bimodal integration and express saccades. Biological Cybernetics, 1994, 72, 19-34.

Matsumoto, R. Walker, B.B., Walker, J. M., and Hughes, H. C., “Fundamentals of neuroscience,” in Principles of Psychophysiology: Physical, Social and Inferential Elements , J. Caccioppo and L. Tassinary (eds.), (1990) 58-113.

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Jay Hull

Jay G. Hull


Prescott, A.T., Sargent, J.D., & Hull, J.G.  (2018).  Metaanalysis of the relationship between violent video game play and physical aggression over time.  Proceedings of the National Academy of Sciences, doi/10.1073/pnas/1611617114

Hull, J.G., Brunelle, T.J., Prescott, A.T., & Sargent, J.D. (2014). A longitudinal study of risk-glorifying video games and behavioral deviance.  Journal of Personality and Social Psychology, 106, 300-325.

Hull, J.G., Draghici, A.M., & Sargent, J.D.  (2012).  A longitudinal study of risk-glorifying video games and reckless driving.  Psychology of Popular Media Culture, 1, 244-253.

Tickle, J.J., Hull, J.G., Sargent, J.D., Dalton, M.A., Heatherton, T.F. (2006). A structural equation model of social influences and exposure to media smoking on adolescent smoking. Basic and Applied Social Psychology, 28, 117-129.

Hull, J. G., & Slone, L. B.  (2006).  A dynamic model of the will with an application to alcohol intoxication.  In W. Prinz & N. Sebanz (Eds.) Disorders of volition. Cambridge, MA: MIT Press.


Prescott, A.T., Hull, J.G. et al. (2017).  The role of a palliative care intervention in moderating the relationship between depression and survival among individuals with advanced cancer. Health Psychology, 36, 1140-1146.

Dionne-Odom, J.N., Hull, J.G. et al. (2016).  Associations between advanced cancer patients' survival and family caregiver presence and burden.  Cancer Medicine, 5, 853-862.

Lyons, K.D., Hull, J.G. et al. (2015).  Development and initial evaluation of a telephone-delivered, behavioral activation and problem-solving treatment to address functional goals of breast cancer survivors.  Journal of Psychosocial Oncology, 33, 199-218. 

Bakitas, M., Tosteson, T., Li, Z., Hull, J. et al (2015).  Early vs delayed initiation of concurrent palliative oncology care:  Patient outcomes of the ENABLE III randomized controlled trial.  Journal of Clinical Oncology, 33, 1438-1445.

Dionne-Odom, J., Azeuro, A., Lyons, K., Tosteson, T., Hegel, M., Hull, J., Li, Z., & Bakitas, M.  (2015).  Benefits of early versus later palliative care to informal family caregivers of persons with advanced cancer:  Outcomes from the ENABLE III randomized clinical trial.  Journal of Clinical Oncology, 33, 1446-1452.

Berman, M.I., Buckey, J.C., Hull, J.G. et al. (2014). Feasibility study of an interactive multimedia electronic problem solving treatment program for depression:  A preliminary uncontrolled trial.  Behavior Therapy, 45, 358-375.

Bakitas, M., Lyons, K.D., Hegel, M.T., Balan, S., Brokow, F.C., Seville, J., Hull, J.G., Li, Z., Tosteson, T.D., Byock, I.B., Ahles, T.A. (2009). Effects of a palliative care intervention on clinical outcomes in patients with advanced cancer. Journal of the American Medical Association, 302, 741-749.

Oxman, T.E., Hegel, M.T., Hull, J.G., Dietrich, A.J. (2008). Problem-solving treatment and coping styles in primary care minor depression. Journal of Consulting and Clinical Psychology, 76, 933-943.


Hull, J.G., Slone, L.B., Meteyer, K.B., & Matthews, A.R. (2002). The non-consciousness of self-consciousness. Journal of Personality and Social Psychology, 83, 406-424.

Hull, J.G. (2002). Modeling the structure of self-knowledge and the dynamics of self-regulation. In A. Tesser, D.A. Stapel, & J.V. Wood (Eds.). Self and Motivation: Emerging Psychological Perspectives (pp. 173 - 206). Washington, DC: American Psychological Association.

Hull, J.G., Van Treuren, R.R., Ashford, S.J., Propsom, P., & Andrus, B.W. (1988). Self-consciousness and the processing of self-relevant information. Journal of Personality and Social Psychology, 54, 452-465.

Hull, J. G., & Levy, A. S. (1979). The organizational functions of the self: An alternative to the Duval and Wicklund model of self-awareness. Journal of Personality and Social Psychology, 37, 756-768.


Krendl, A.C., Magoon, N.S., Hull, J.G., & Heatherton, T.F. (2011). Judging a book by its cover: The differential impact of attractiveness on predicting one’s acceptance to high or low status social groups. Journal of Applied Social Psychology, 41, 2583-2550.

Hull, J.G., Tedlie, J.C., & Lehn, D.A. (1995). Modeling the relation of personality variables to symptom complaints: The unique role of negative affectivity. In R.H. Hoyle (Ed.), Structural equation modeling: Issues and applications. Newbury Park, CA: Sage. Pp. 217-236.

Hull, J.G., Tedlie, J.C., & Lehn, D.A. (1992). Moderator variables in personality research: The problem of controlling for plausible alternatives. Personality and Social Psychology Bulletin, 18, 115-117.

Hull, J.G., Lehn, D.A., & Tedlie, J.C. (1991). A general approach to testing multifaceted personality constructs. Journal of Personality and Social Psychology, 61, 932-945.

Prescott, A.T., Sargent, J.D., & Hull, J.G.  (2018).  Metanalysis of the relationship between violent video game play and physical aggression over time.  Proceedings of the National Academy of Sciences,

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David Kraemer

David Kraemer

Kraemer, D.J.M., Hamilton, R.H., Messing, S.B., DeSantis, J., & Thompson-Schill, S.L. (2014) Cognitive styles, cortical stimulation, and the conversion hypothesis. Frontiers in Human Neuroscience, 8:1-9.

Hsu, N.S., Kraemer, D.J.M., Oliver, R.T., Schlicting, M.L., & Thompson-Schill, S.L.  (2011).  Color, context, and cognitive style: Variations in color knowledge retrieval as a function of task and subject variables.  Journal of Cognitive Neuroscience, 23(9):2544-57.

Kraemer, D.J.M., Rosenberg, L.M., & Thompson-Schill, S.L.  (2009).  The neural correlates of visual and verbal cognitive styles.  Journal of Neuroscience, 29(12):3792-8.

Cross, E.S., Kraemer, D.J.M., Hamilton, A.F., Kelley, W.M., & Grafton, S.T. (2009). Sensitivity of the action observation network to physical and observational learning.Cerebral Cortex19(2):315-26.

Green, A.E., Kraemer, D.J.M., Fugelsang, J.A., Gray, J.R., & Dunbar, K.N. (2012). Neural Correlates of Creativity in Analogical Reasoning. Journal of Experimental Psychology-Learning Memory and Cognition, 38(2), 264–272.


Jeremy Manning

Jeremy Rothman Manning

Manning JR, Hulbert JC, Williams J, Piloto L, Sahakyan L, Norman KA (2016) A neural signature of contextually mediated intentional forgetting.  Psychonomic Bulletin & Review.  [LINK]

Manning JR, Ranganath R, Norman KA, Blei DA (2014) Topographic Factor Analysis: a Bayesian model for inferring brain networks from neural data. PLoS One, 9(5): e94914. [LINK]

Manning JR, Lew TF, Li N, Kahana MJ, Sekuler RW (2014) MAGELLAN: a cognitive map-based model of human wayfinding. Journal of Experimental Psychology: General, 143(3): 1314 - 1330. [LINK]

Manning JR, Sperling MR, Sharan A, Rosenberg EA, Kahana MJ (2012) Spontaneously reactivated patterns in frontal and temporal lobe predict semantic clustering during memory search. The Journal of Neuroscience, 32(26): 8800 - 8816. [LINK]

Manning JR, Polyn SM, Baltuch G, Litt B, Kahana MJ (2011) Oscillatory patterns in temporal lobe reveal context reinstatement during memory search. Proceedings of the National Academy of Sciences of the United States of America, 108(31): 12893 - 12897. [LINK]

Manning JR, Jacobs J, Fried I, Kahana MJ (2009) Broadband shifts in local field potential power spectra are correlated with single-neuron spiking in humans. The Journal of Neuroscience, 29(43): 13613 - 13620. [LINK]

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Robert A. Maue

Robert A. Maue

Maue RA, Burgess RW, Wang B, Wooley CM, Seburn KL, Vanier MT, Rogers MA, Chang CC, Chang TY, Harris BT, Graber DJ, Penatti CA, Porter DM, Szwergold BS, Henderson LP, Totenhagen JW, Trouard TP, Borbon IA, Erickson RP. A novel mouse model of Niemann-Pick type C disease carrying a D1005G-Npc1 mutation comparable to commonly observed human mutations. Hum Mol Genet. 2012 Feb 15;21(4):730-50. (view details on MedLine)

Claudepierre T, Paques M, Simonutti M, Buard I, Sahel J, Maue RA, Picaud S, Pfrieger FW. Lack of Niemann-Pick type C1 induces age-related degeneration in the mouse retina. Mol Cell Neurosci. 2010 Jan;43(1):164-76. (view details on MedLine)

Fry M, Boegle AK, Maue RA. Differentiated pattern of sodium channel expression in dissociated Purkinje neurons maintained in long-term culture. J Neurochem. 2007 May;101(3):737-48. (view details on MedLine)

Maue RA. Understanding ion channel biology using epitope tags: progress, pitfalls, and promise. J Cell Physiol. 2007 Dec;213(3):618-25. Review. (view details on MedLine)

Paul CA, Reid PC, Boegle AK, Karten B, Zhang M, Jiang ZG, Franz D, Lin L, Chang TY, Vance JE, Blanchette-Mackie J, Maue RA. Adenovirus expressing an NPC1-GFP fusion gene corrects neuronal and nonneuronal defects associated with Niemann pick type C disease. J Neurosci Res. 2005 Sep 1;81(5):706-19. (view details on MedLine)

Paul CA, Boegle AK, Maue RA. Before the loss: neuronal dysfunction in Niemann-Pick Type C disease. Biochim Biophys Acta. 2004 Oct 11;1685(1-3):63-76. Review. (view details on MedLine)

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Katherine Nautiyal Image

Katherine M. Nautiyal

Complete list can be found on PubMed

Nautiyal, K.M., Wall, M.M., Wang, S., Magalong, V.M., Ahmari, S.E., Balsam, P.D., Blanco, C., Hen, R.  (2017) Genetic and modelling approaches reveal distinct components of impulsive behavior.  Neuropsychopharmacology 42(6):1182-1191.

Nautiyal, K.M., Tanaka, K.F., Barr, M.M., Tritschler, L., LeDantec, Y., David, D.J., Gardier, A.M., Blanco, C., Hen, R., Ahmari, S.E. (2015) Distinct circuits underlie the effects of serotonin 1B receptors on aggression and impulsivity. Neuron 86(3):813-26.



Caroline Robertson

Robertson & Baron-Cohen. 2017. Sensory Perception in Autism. Nature Reviews Neuroscience. 18, 671–684.

Robertson, Hermann, Mynick, Kravitz, Kanwisher. 2016. Neural Representations Integrate the Current Field of View with the Remembered 360° Panorama in Scene-Selective Cortex. Current Biology. 26(18), 80-85

Robertson, Ratai, Kanwisher. 2016. Reduced GABAergic Action in the Autistic Brain. Current Biology. 26(01), 80-85.

Robertson, Kravitz, Freyberg, Baron-Cohen, Baker. 2013. Slower Rate of Binocular Rivalry in Autism. Journal of Neuroscience. 33(43), 16983-16991.

Adina Roskies

Adina L. Roskies

Roskies, A.L. (2015) “Davidson on believers: Can nonlinguistic creatures have propositional attitudes?” Open-MIND;;

Morse, S.J. and A. L. Roskies (2013) A Primer on Criminal Law and Neuroscience. Oxford University Press: New York. 

Roskies, A.L. (2012) “Don’t panic: On being a causa sui” Philosophical Perspectives, 26:323-342.

Roskies, A.L. (2015) “Agency and intervention”  Philosophical Transactions of the Royal Society B. 370 20140215; DOI: 10.1098/rstb.2014.0215. 

Roskies, A.L. (2010) “’That’ response won’t work: Against a demonstrative defense of conceptualism” Nous, 44: 112-134.

Roskies, A.L. (2010) “Saving Subtraction: A reply to Van Orden and Paap” British Journal for the Philosophy of Science, 61:635-665.

Roskies, A.L. and S. Nichols (2008) “Bringing moral responsibility down to earth” Journal of Philosophy, 105: 371-388.

Roskies, A.L. “Are ethical judgments intrinsically motivational? Lessons from acquired sociopathy,” Philosophical Psychology , 16 (2003) 51-66.

Roskies, A.L. “Neuroethics for the New Millenium,” Neuron , 35 (2002) 21-23.

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Kyle S. Smith

Graybiel AM, Smith KS (2014).  How the brain makes and breaks habits.  Scientific American, June issue (cover article).  Link to site.

Smith KS, Graybiel AM (2014). Investigating habits:  strategies, technologies, and models.  Frontiers in Behavioral Neuroscience, 8:39.  Link to article.

Smith KS, Graybiel AM (2013). A dual operator view of habitual behavior reflecting cortical and striatal dynamics. Neuron, 79(2):361-74.  (Link for video abstract)

Smith KS, Graybiel AM (2013). Using optogenetics to study habits. Brain Research, 1511:102-14.

Smith KS, Virkud A, Deisseroth K, Graybiel AM (2012). Reversible online control of habitual behavior by optogenetic perturbation of medial prefrontal cortex. Proceedings of the National Academy of Sciences, 109(46):18932-7.

Smith KS, Berridge KC, Aldridge JW (2011). Disentangling pleasure from incentive salience and learning signals in brain reward circuitry. Proceedings of the National Academy of Sciences, 108(27):E255-64.

Smith KS, Tindell AJ, Aldridge JW, Berridge KC (2009). Ventral pallidum roles in reward and motivation. Behavioural Brain Research, 96(2):155-67.

Smith KS, Mahler SV, Peciña S, Berridge KC (2009). Hedonic hotspots: brain generation of sensory pleasures. In: Berridge KS and Kringelbach ML (Eds.), Pleasures of the Brain. Oxford, England: Oxford University Press.

Smith KS, Berridge KC (2007). Opioid limbic circuit for reward: interaction between hedonic hotspots of nucleus accumbens and ventral pallidum. The Journal of Neuroscience, 27(7):1594-1605.

Smith KS, Berridge KC (2005). The ventral pallidum and hedonic reward: neurochemical maps of‘liking’and food intake. The Journal of Neuroscience, 25(38):8637-49.

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Alireza Soltani

Farashahi S, Donahue C, Hayden B, Lee D, Soltani A (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour.

Soltani A, Izquierdo A (2019) Adaptive learning under expected and unexpected uncertainty. Nature Reviews Neuroscience, 20.

Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A (2017). Feature-based Learning Improves Adaptability without Compromising Precision. Nature Communications8:1768.

Farashahi S, Donahue CH, Khorsand P, Seo H, Lee D, and Soltani A (2017). Metaplasticity as a Neural Substrate for Adaptive Learning Choice under Uncertainty. Neuron, 94(2), 401–414

Soltani A, Khorsand P, Guo CZ, Farashahi S, Liu J (2016) Neural Substrates of Cognitive Biases during Probabilistic Inference. Nature Communications,  7:11393 

Soltani A, Noudoost B, Moore T (2013) Dissociable Dopaminergic Control of Saccadic Target Selection and its Implications for Reward Modulation. Proceedings of the National Academy of Sciences, 110 (9): 3579-84

Hunt LT, Kolling N, Soltani A, Woolrich MW, Rushworth MFS, Behrens TEJ (2012) Mechanisms Underlying Cortical Activity During Value-guided Choice. Nature Neuroscience, 15(3): 470-476

Soltani A, De Martino B, Camerer C (2012) A Range-normalization Model of Context-dependent Choice: A New Model and Evidence. PLoS Computational Biology, 8(7): e1002607

Soltani A, Wang X-J (2010) Synaptic Computation Underlying Probabilistic Inference. Nature Neuroscience, 13(1): 112-119

Soltani A, Koch C (2010) Visual Saliency Computations: Mechanisms, Constraints, and the Effect of Feedback. Journal of Neuroscience, 30(38): 12831-43

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Arjen Stolk

Wheatley T, Boncz A, Toni I, Stolk A (2019). Beyond the isolated brain: The promise and challenge of interacting mindsNeuron 103 (2), 186-188

Wadge H, Brewer R, Bird G, Toni I, Stolk A (2019). Communicative misalignment in Autism Spectrum DisorderCortex 115, 15-26

Stolk A, Verhagen L, Toni I (2016). Conceptual alignment: How brains achieve mutual understandingTrends in Cognitive Sciences 20 (3), 180-191

Stolk A, D'Imperio D, di Pellegrino G, Toni I (2015). Altered communicative decisions following ventromedial prefrontal lesionsCurrent Biology 25 (11), 1469-1474

Stolk A, Noordzij ML, Verhagen L, Volman I, Schoffelen J-M, Oostenveld R, Hagoort P, Toni I (2014). Cerebral coherence between communicators marks the emergence of meaningProceedings of the National Academy of Sciences 111 (51), 18183-18188

Stolk A (2014). In sync: Metaphor, mechanism or marker of mutual understandingJournal of Neuroscience 34 (16), 5397-5398

Stolk A, Noordzij ML, Volman I, Verhagen L, Overeem S, van Elswijk G, Bloem B, Hagoort P, Toni I (2014). Understanding communicative actions: A repetitive TMS studyCortex 51, 25-34

Stolk A, Verhagen L, Schoffelen J-M, Oostenveld R, Blokpoel M, Hagoort P, van Rooij I, Toni I (2013). Neural mechanisms of communicative innovationProceedings of the National Academy of Sciences 110 (36), 14574-14579

Stolk A, Hunnius S, Bekkering H, Toni I (2013). Early social experience predicts referential communicative adjustments in five-year-old childrenPLoS One 8 (8), e72667


Jeffrey Steven Taube

Book: Wiener SI, Taube JS (2005) Head Direction Cells and the Neural Mechanisms of Spatial Orientation . MIT Press: Cambridge, MA.

Butler WN, Smith KS, van der Meer MAA, Taube JS (2017) The head direction signal plays a functional role as a neural compass during navigation.  Current Biology 27: 1259-1267.  PMID: 28416119

Cullen KE, Taube JS (2017) Our sense of direction: progress, controversies, and challenges. Nature Neuroscience 20: 1465-1473.   PMID: 29073639

Valerio S, Taube JS (2016) Head direction cell activity is absent in mice without the horizontal semicircular canals.  Journal of Neuroscience 36: 741-754.  PMID: 26791205

Winter SS, Clark BJ, Mehlman ML, Taube JS (2015) Passive transport disrupt grid signals in the parahippcampal cortex.  Current Biology 25: 2493-2502.  PMID: 26387719

Winter SS, Clark BJ, Taube JS (2015) Disruption of the head direction cell network impairs the parahippocampal grid cell signal.  Science 347: 870-874.  PMID: 25700518

Butler WN, Taube JS (2017) Oscillatory synchrony between head direction cells recorded bilaterally in the anterodorsal thalamic nuclei.  Journal of Neurophysiology 117: 1847-1852.  PMID: 28250151

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Mark A. Thornton

Thornton, M. A., Weaverdyck, M. E., & Tamir, D. I. (2019). The brain represents people as the mental states they habitually experience. Nature Communications, 10, 2291. [Paper - open access] [Preprint] [Data & code] [Blog]

Thornton, M. A., Weaverdyck, M. E., & Tamir, D. I. (2019). The social brain automatically predicts others’ future mental states. The Journal of Neuroscience, 39(1), 140-148. [Preprint] [Data & code] [Blog]

Tamir, D.I.*, Thornton, M.A.* (2018). Modeling the predictive social mind. Trends in Cognitive Sciences, 22(3) 201-212.
*equal contributions [PDF] [Commentary by Rebecca Saxe]

Thornton, M. A., & Mitchell, J. P. (2018). Theories of person perception predict patterns of neural activity during mentalizing. Cerebral Cortex, 28(10), 3505-3520. [PDF] [Data & code] [Blog]

Thornton, M. A., & Tamir, D. I. (2017). Mental models accurately predict emotion transitions. Proceedings of the National Academy of Sciences of the United States of America, 114(23), 5982-5987. [PDF] [Data & code] [Blog]

Tamir, D. I.*, Thornton, M. A.*, Contreras, J. M., & Mitchell, J. P. (2016). Neural evidence that three dimensions organize mental state representation: Rationality, social impact, and valence. Proceedings of the National Academy of Sciences of the United States of America, 113(1), 194-199.
*equal contributions [PDF] [Data & code] [Blog] [Commentary by Dubois & Adolphs]


Travis P. Todd

Todd, T. P., DeAngeli, N. E., Jiang, M. Y., & Bucci, D. J. (2017). Retrograde amnesia of contextual fear conditioning: evidence for retrosplenial cortex involvement in configural processing. Behavioral Neuroscience, 131, 46-54.

Todd, T. P., Jiang, M. Y., DeAngeli, N. E., & Bucci, D. J. (2017). Intact renewal after extinction of conditioned suppression with lesions of either the retrosplenial cortex or dorsal hippocampus. Behavioral Brain Research, 320, 1-11.

Todd, T. P., Huszár, R., DeAngeli, N. E., & Bucci, D. J. (2016). Higher-order conditioning and the retrosplenial cortex. Neurobiology of Learning and Memory, 133, 257-264.

Todd, T. P., Mehlman, M., DeAngeli, N. E., Keene, C., & Bucci, D. J. (2016) Retrosplenial cortex is required for the retrieval of remote memory for auditory cues. Learning & Memory, 23, 278-288.

Todd, T. P., & Bucci, D. J. (2015). Retrosplenial cortex and long-term memory: Molecules to behavior. Neural Plasticity, 414173, 1-9.

Bouton, M. E., & Todd, T. P. (2014). A fundamental role for context in controlling instrumental learning and extinction. Behavioral Processes, 104, 13-19.

Todd, T. P., Vurbic, D., & Bouton, M. E. (2014). Mechanisms of renewal after the extinction of discriminated operant behavior. Journal of Experimental Psychology: Animal Learning and Cognition, 40, 355-368.

Todd, T. P. (2013). Mechanisms of renewal after the extinction of instrumental behavior. Journal of Experimental Psychology: Animal Behavior Processes, 39, 193-207.

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Peter Ulric Tse

Sun, L. W., Hartstein, K. C., Frank, S. M., Hassan, W. and Tse, P. U. (2017). Back from the future: Volitional postdiction of perceived apparent motion direction. Vision Research, 140:133-139. doi: 10.1016/j.visres.2017.09.001

Frank, S.M., Greenlee, M.W. and Tse, P.U. (2017).  Long time no see: enduring behavioral and neuronal changes in perceptual learning of motion trajectories three years after training. Cerebral Cortex. doi: 10.1093/cercor/bhx039

Kohler, P., Cavanagh, P. and Tse, P.U. (2017). Motion-Induced Position Shifts Activate Early Visual Cortex. Frontiers in Neuroscience. doi: 10.3389/fnins.2017.00168.

Schlegel, A., Kohler, P., Fogelson, S., Alexander, S. and Tse, P. U. (2013).  Network structure and dynamics of the mental workspace. Proceedings of the National Academy of Sciences, 110(40):16277-82. doi: 10.1073/pnas.1311149110.

Tse, P. U., Martinez-Conde, S., Schlegel, A., and Macknik, S. (2005). Visibility and visual masking of simple targets are confined to areas in the occipital cortex beyond human V1/V2. Proceedings of the National Academy of Sciences, 102, 47, 17178-17183.

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Thalia Wheatley

Parkinson, C., Kleinbaum, A., & Wheatley, T. (2018). Similar neural responses predict friendship. Nature Communications, 9:332.

Parkinson, C., Kleinbaum, A., & Wheatley, T. (2017). Spontaneous neural encoding of social network position. Nature Human Behavior, 1, 1-7

Kang, O.E. & Wheatley, T. (2017). Pupil dilation patterns spontaneously synchronize across individuals during shared attention. JEP: General, 146, 569-576

Parkinson, C., & Wheatley, T. (2015).  The repurposed social brain. Trends in Cognitive Sciences, 19, 133-141

Parkinson, C., Liu, S., & Wheatley, T.  (2014). A common cortical metric for spatial, temporal and social distance.  Journal of Neuroscience, 34, 1979-1987

Sievers, B., Polansky, L., Casey, M., & Wheatley, T. (2013). Music and movement share a dynamic structure that supports universal expressions of emotion.  Proceedings of the National Academy of Sciences (direct submission)11070-75

Parkinson, C. & Wheatley, T. (2012). Relating anatomical and social connectivity: White matter microstructure predicts emotional empathy. Cerebral Cortex, 24, 614–625.

Wheatley, T., Kang, O., Parkinson, C.M., & Looser, C.E. (2012). From mind perception to mental connection: Synchrony as a mechanism for social understanding. Social Psychology and Personality Compass, 6, 589-606

Parkinson, C., Sinnott-Armstrong, W., Koralus, P., Mendelovici, A., McGeer, V., and Wheatley, T. (2011). Is morality unified? Evidence that distinct neural systems underlie judgments of harm, dishonesty, and disgust. Journal of Cognitive Neuroscience, 23, 3162-3180.

Looser, C.E., and Wheatley, T. (2010). The tipping point of animacy: How, when, and where we perceive life in a face. Psychological Science, 24, 1854-1862. [“News of the Week”, Science, 331,19].

Wheatley, T., Milleville, S., & Martin, A. (2007). Understanding animate agents: Distinct roles for the ‘social network’ and ‘mirror system’. Psychological Science, 18, 469-474

Wheatley, T., & Haidt, J. D. (2005). Hypnotic disgust makes moral judgments more severe. Psychological Science16, 780-784

Wegner, D. M., & Wheatley, T. (1999). Apparent mental causation: Sources of the experience of will. American Psychologist54, 480-492

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George Wolford

George Wolford

Do, A M, A V Rupert, and G Wolford, “Evaluations of Pleasurable Experiences: The Peak-and-end Rule,” Psychonomic Bulletin and Review , 15:1 (2008) 96-98.

Shah, A M, and G Wolford, “Buying Behavior as a Function of Parametric Variation of Number of Choices,” Psychological Science , 18:5 (2007) 369-370.

Rosenberg, S D, R E Drake, M F Brunette, G Wolford, and B J Marsh, “HCV and HIV Co-infection in People with Severe Mental Illness and Substance Use Disorders,” AIDS , 19 (2005) 526-533.

Miller, M B, M Valsangkar-Smyth, S Newman, H Dumont, and G Wolford “Brain Activations Associated with Probability Matching,” Neuropsychologia , 43:11 (2005) 1598-1608.

Wolford, G, S E Newman, M B Miller, and G S Wig, “Searching for Patterns in Random Sequences,” Canadian Journal of Experimental Psychology , 58:4 (2004) 221-228.

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