Recent Publications

Jamshed J. Bharucha

Jamshed Bharucha (2023). India's realignment in higher education. Daedalus, 153(2). MIT Press.
Jamshed Bharucha (2019). From passive to active learning. India Today (August).
Large, E., Kim, J.C., Flaig, N., Bharucha, J. & Krumhansl, C. (2016). A neurodynamic account of musical tonality. Music Perception, 33, 319-331.
Bharucha, J. (2013). Education in South Asia: Time bomb or silver bullet? In A. Najam & M. Yusuf (Eds.), South Asia 2060: Envisioning Regional Futures. NY: Anthem Press.
Curtis, M.E. & Bharucha, J. (2010). The minor third communicates sadness in speech, mirroring its use in music. Emotion, 10, 335-348.
Bharucha, J. (2009). Overlapping crises. Inside Higher Ed, December 10.
Bharucha, J. (2009). From frequency to pitch, and from pitch class to musical key: Shared principles of learning and perception. Connection Science, 21, 177-192.
Bharucha, J. (2008). Cognitive dilemmas in higher education. In M.E. Devlin (Ed), Futures Forum 2008. Cambridge, MA: Forum for the Future of Higher Education and NACUBO.
Bharucha, J., Curtis, M.E. & Paroo, K. (2006). Varieties of musical experience. Cognition, 100, 131-172.
Janata, P., Birk, J., Van Horn, J.D., Leman, M., Tillmann, B. & Bharucha, J. (2003). The cortical topography of tonal structures underlying Western music. Science, 298, 2167-2170.
Tillmann, B., Bharucha, J. & Bigand, E. (2000). Implicit learning of tonality: A self-organizing approach. Psychological Review, 107, 885–913.
Bharucha, J. (1996). Melodic anchoring. Music Perception, 13, 383-400.
Bharucha, J. & Mencl, W.E. (1996). Two issues in auditory cognition: Self-organization of categories and pitch-invariant pattern recognition. Psychological Science, 7, 142-149.
Bharucha, J., & Todd, P. (1991). Modeling the perception of tonal structure with neural nets. Computer Music Journal, 13, 44-53. [Reprinted in P. Todd & G. Loy (Eds.), Music and Connectionism (pp 128-137). Cambridge: MIT Press.]
Bharucha, J. (1987). Music cognition and perceptual facilitation: A connectionist framework. Music Perception, 5, 1-30.
Bharucha, J. & Stoeckig, K. (1987). Priming of chords: Spreading activation or overlapping frequency spectra? Perception & Psychophysics, 41, 519-524.
Bharucha, J. (1984). Anchoring effects in music: The resolution of dissonance. Cognitive Psychology, 16, 485-518.
Castellano, M.A., Bharucha, J. & Krumhansl, C.L. (1984). Tonal hierarchies in the music of North India. Journal of Experimental Psychology: General, 113, 394-412.
Bharucha, J. & Krumhansl, C.L. (1983). The representation of harmonic structure in music: Hierarchies of stability as a function of context. Cognition, 13, 63-102.
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.
Donna Coch

Coch, D. (2015). The N400 and the fourth grade shift. Developmental Science, 18(2), 254-269. doi: 10.1111/desc.12212
Jasinski, E.C., & Coch, D. (2012). ERPs across arithmetic operations in a delayed answer verification task. Psychophysiology, 49, 943-958. doi: 10.1111/j.1469-8986.2012.01378.x (Senior Honors Thesis, Emily Jasinski '10)
George, E., & Coch, D. (2011). Music training and working memory: an ERP study. Neuropsychologia, 49(5), 1083-1094. doi: 10.1016/j.neuropsychologia.2011.02.001 (Senior Honors Thesis, Elyse George '09)
Berger, N.I., & Coch, D. (2010). Do u txt? Event-related potentials to semantic anomalies in standard and texted English. Brain and Language, 113, 135-148. doi:10.1016/j.bandl.2010.02.002 (Senior Honors Thesis, Natalie Berger '09)
Mitra, P., & Coch, D. (2009). A masked priming ERP study of letter processing using single letters and false fonts. Cognitive, Affective, and Behavioral Neuroscience, 9, 216-228. doi: 10.3758/CABN.9.2.216 (Senior Honors Thesis, Priya Mitra '08)
Coch, D., Michlovitz, S.A., Ansari, D., & Baird, A. (2009). Building mind, brain, and education connections: the view from the Upper Valley. Mind, Brain, and Education, 3(1), 27-33. doi: 10.1111/j.1751-228X.2008.01050.x
Ansari, D., & Coch, D. (2006). Bridges over troubled waters: education and cognitive neuroscience. Trends in Cognitive Sciences, 10(4), 146-151. doi:10.1016/j.tics.2006.02.007
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

Almeida, J., Freixo, A., Tabuas-Periera, M., Herald, S.B., Valerio, D., Schu, G., Duro, D., Cunha, G., Bukhari, Q., Duchaine, B., & Santana, I. (2020). Face-Specific Perceptual Distortions Reveal A View- and Orientation-Independent Face Template. Current Biology 30: 1-7.
Jiahui, G., Yang, H., & Duchaine, B. (2018). Developmental prosopagnosics have widespread selectivity reductions across category-selective visual cortex. Proceedings of the National Academy of Sciences, 115: E6418-E6427.
Dalrymple, K. & Duchaine, B. (2016). Impaired face detection may explain some but not all cases of developmental prosopagnosia. Developmental Science. 19(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.
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.
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, 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.
Richard H. Granger, Jr.

Publications available at: http://www.dartmouth.edu/~rhg/publications2011.html
Rodriguez A, Granger R (2017) The differential geometry of perceptual similarity. Brain Engineering Laboratory, Technical Report 2017.2. www.dartmouth.edu/~rhg/pubs/GrangerRGPEGa1.pdf (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. http://dana.org/news/cerebrum/detail.aspx?id=30356
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.
James V. Haxby

Haxby, J.V., Hoffman, E.A., Gobbini, M.I. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences, 4, 223-233.
Haxby, J.V., Gobbini, M.I., Furey, M.L., Ishai, A., Schouten, J.L., Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293, 2425-2430.
Gobbini, M. I. and Haxby, J. V. (2007). Neural systems for recognition of familiar faces.. Neuropsychologia, 45, 32–41. 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. DOI: 10.1162/jocn.2007.19.11.1803, cited by: 156
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. DOI: 10.1007/s12021-008-9041-y,
Haxby, J. V. , Guntupalli, J. S. , Connolly, A. C. , Halchenko, Y. O. , Conroy, B. R., Gobbini, M. I. , Hanke, M. and Ramadge, P. J. (2011). A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex. Neuron, 72, 404–416. DOI: 10.1016/j.neuron.2011.08.026, cited by: 21
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
Connolly, A. C. , Guntupalli, J. S. , Gors, J. , Hanke, M. , Halchenko, Y. O., Wu, Y. , Abdi, H. and Haxby, J. V. (2012). Representation of biological classes in the human brain. Journal of Neuroscience, 32, 2608–2618. DOI: 10.1523/JNEUROSCI.5547-11.2012,
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.
Guntupalli JS, Hanke M, Halchenko YO, Connolly AC, Ramadge PJ, Haxby JV. (2016). A model of representational spaces in human cortex. Cerebral Cortex, 36, 5373-5384.
Nastase SA, Connolly AC, Oosterhof NN, Halchenko YO, Guntupalli JS, Visconti di Oleggio Castello M, Gors J, Gobbini MI, Haxby JV. (2017). Attention selectively reshapes the geometry of distributed semantic representation. Cerebral Cortex, 27, 4277-4291.
Haxby JV, Gobbini MI, Nastase SA. (2020). Naturalistic stimuli reveal a dominant role for agentic action in visual representation. Neuroimage, 216, 116561. https://doi.org/10.1016/j.neuroimage.2020.116561
Haxby JV, Guntupalli JS, Nastase SA, Feilong M. (2020). Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. eLife, 9, e56601. doi: https://doi.org/10.7554/eLife.56601
Feilong M, Guntupalli JS, Haxby JV. (2021). The neural basis of intelligence in fine-grained cortical topographies. eLife, 10, e64058. DOI: 10.7554/eLife.64058
Visconti di Oleggio Castello M, Haxby JV, Gobbini MI. (2021).Shared neural codes for visual and semantic information about familiar faces in a common representational space. Proceedings of the National Academy of Sciences, USA, 118, e2110474118. https://doi.org/10.1073/pnas.2110474118
Busch EL, Rapuano KM Anderson KM, Rosenberg MD, Watts R, Casey BJ, Haxby JV, Feilong M. (2023). Dissociation of reliability, heritability, and predictivity in coarse-and fine-scale functional connectomes during development. Journal of Neuroscience. https://doi.org/10.1523/JNEUROSCI.0735-23.2023
Feilong M, Nastase SA, Jiahui G, Halchenko YO, Gobbini MI, Haxby JV. (2023).The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains. Imaging Neuroscience, 1, 1-34. https://doi.org/10.1162/imag_a_00032
Jiahui G, Feilong M, Visconti di Oleggio Castello M, Nastase SA, Haxby JV, Gobbini MI. (2023). Modeling naturalistic face processing in humans with deep convolutional neural networks. Proceedings of the National Academy of Sciences, USA, 120, e2304085120. https://doi.org/10.1073/pnas.2304085120.
Jiahui G, Feilong M, Nastase SA, Haxby JV, Gobbini MI. (2023). Cross-movie prediction of individualized functional topography. eLife, 12, e86037. https://doi.org/10.7554/eLife.86037
Melissa R. Herman

Herman, M. (2022). Doctors' Perceptions of Multiracial Adolescents. Social Sciences, 11(4), 146. https://doi.org/10.3390/socsci11040146
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).
Dae Houlihan

Houlihan, S. D., Kleiman-Weiner, M., Hewitt, L. B., Tenenbaum, J. B., & Saxe, R. (2023). Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2251), 20220047. https://doi.org/10.1098/rsta.2022.0047.
Houlihan, S. D., Ong, D., Cusimano, M., & Saxe, R. (2022). Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. Proceedings of the Annual Meeting of the Cognitive Science Society, 44, 854–861. https://escholarship.org/uc/item/7sn3w3n2.
Houlihan, S. D., Tenenbaum, J. B., & Saxe, R. (2021). Linking Models of Theory of Mind and Measures of Human Brain Activity. In M. Gilead & K. N. Ochsner (Eds.), The Neural Basis of Mentalizing (pp. 209–235). Springer International Publishing. https://doi.org/10.1007/978-3-030-51890-5_11.
Saxe, R., & Houlihan, S. D. (2017). Formalizing emotion concepts within a Bayesian model of theory of mind. Current Opinion in Psychology, 17, 15–21. https://doi.org/10.1016/j.copsyc.2017.04.019.
William J Hudenko

Tauscher, J., Lybarger, K.J., Ben-Zeev, D., Cohen, T., Hudenko, W. (2022). Automated Detection of Cognitive Distortions in Text Exchanges between Clinicians and People with Serious Mental Illness. Psychiatric Services. https://doi.org/10.1176/appi.ps.202100692
Ben-Zeev, D., Buck, B., Meller, S., Hudenko W.J., & Hallgren. K.A. (2020) Augmenting mental health services with a texting mobile interventionist: Pilot randomized controlled trial. Psychiatric Services. https://doi.org/10.1176/appi.ps.202000239
Kerr, S., Hudenko, W., Godfrey, D., Lundgren, S., O'Malley, J., & Sharp, C. (2020). Validation of the Emotional Tone Index for Families (ETIF): A multi-informant measure of emotional closeness. Family Process. https://doi.org/10.1111/famp.12608
Althoff, R., Frering, H., Maruti, S., Helzer, J. Hudenko, W., Bidad, R., Herrington, R., Cats-Baril, W., & Desjardins, I. (2020). Construct and predictive validity of the Systematic Expert Risk Assessment for Suicide (SERAS) in the Emergency Department setting. Manuscript under review.
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.
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.
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.
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.
Jay G. Hull

THE ROLE OF SELF AND IDENTITY IN BEHAVIORAL DEVIANCE (AGGRESSION, ALCOHOL USE, CIGARETTE SMOKING, AND RECKLESS DRIVING)
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.
AFFECTIVE SELF-REGULATION WITH A FOCUS ON COPING AND DEPRESSION
Corn, B.W., Feldman, D.B., Hull, J.G., O'Rourke, M.A., Bakitas, M.A. (in press). Dispositional hope as a potential outcome parameter among patients with advanced malignancy: An analysis of the ENABLE database. Cancer, XX, xxx-yyy.
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.
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.
COGNITIVE PROCESSES ASSOCIATED WITH SELF-CONSCIOUSNESS AND SELF-AWARENESS
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.
METHODOLOGICAL ISSUES AND STRUCTURAL EQUATION MODELING
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, www.pnas.org/cgi/doi/10.1073/pnas.1611617114
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 Cortex, 19(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 R. Manning

Owen LLW, Manning JR (2024). High-level cognition is supported by information-rich but compressible brain activity patterns. Proceedings of the National Academy of Sciences, USA: in press.
Xu X, Zhu Z, Zheng X, Manning JR (2024) The psychological arrow of time drives temporal asymmetries in inferring unobserved past and future events. Nature Communications: in press.
Fitzpatrick PC, Heusser AC, Manning JR (2024). Text embedding models yield high-resolution insights into conceptual knowledge from short multiple-choice quizzes. PsyArXiv: 10.31234/osf.io/dh3q2.
Manning (2023) Identifying stimulus-driven activity patterns in multi-patient intracranial recordings. In Axmacher N, Ed. Intracranial EEG for Cognitive Neuroscience. New York, NY: Springer. Chapter 48.
Manning JR, Notaro GM, Chen E, Fitzpatrick PC (2022) Fitness tracking reveals task-specific associations between memory, mental health, and exercise. Scientific Reports: 12(13822): doi.org/10.1038/s41598-022-17781-0.
Owen LLW, Chang TH, Manning JR (2021) High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns. Nature Communications, 12(5728): doi.org/10.1038/s41467-021-25876-x.
Manning JR (2021) Episodic memory: mental time travel or a quantum 'memory wave' function? Psychological Review, 128(4): 711—725.
Chang LJ, Jolly E, Cheong JH, Rapuano K, Greenstein N, Chen P-HA, Manning JR (2021) Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience. Science Advances, 7(17): doi.org/10.1126/sciadv.abf7129.
Heusser AC, Fitzpatrick PC, Manning JR (2021) Geometric models reveal behavioral and neural signatures of transforming naturalistic experiences into episodic memories. Nature Human Behaviour: https://doi.org/10.1038/s41562-021-01051-6.
Owen LLW, Muntianu TA, Heusser AC, Daly P, Scangos KW, Manning JR (2020) A Gaussian process model of human electrocorticographic data. Cerebral Cortex, 30(10): 5333—5345.
Heusser AC, Ziman K, Owen LW, Manning JR (2018) HyperTools: A Python toolbox for gaining geometric insights into high-dimensional data. Journal of Machine Learning Research, 18(152): 1 - 6.
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)
Katherine M. Nautiyal

Complete list can be found here

Spring M.G., Nautiyal K.M. (2024) Striatal serotonin release signals reward value. Journal of Neuroscience. 10.1523/JNEUROSCI.0602-24.2024. Online ahead of print.

Nautiyal, K.M, Yaden, D.B. (2023) Does the trip matter? Investigating the role o the subjective effects of psychedelics in persisting therapeutic effects. Neuropsychopharmacology. 48(1):215-216.

Desrochers, S.S., Spring, M.G., Nautiyal, K.M. (2022) A role for serotonin in modulating opposing drive and brake circuits of impulsivity. Frontiers in Behavioral Neuroscience. 16:791749.

Desrochers, S.S., Nautiyal, K.M. (2022) Serotonin 1B receptor effects on response inhibition are independent of inhibitory learning. Neurobiology of Learning and Memory. 187:107574.

Han, J., Andreu, V., Langreck, C., Pekarskaya, E.A., Grinnell, S.G., Magalong, V.M., Pintar, J., Kieffer, B.L., Harris, A.Z., Javitch, J.A., Hen, R., Nautiyal, K.M. (2021) Mu Opioid Receptors on Hippocampal GABAergic Interneurons are Critical for the Antidepressant Effects of Tianeptine. Neuropsychopharmacology. 47(7):1387-1397.

Li, Y., Simmler, L.D., Zessen, R.V., Flakowski, J., Wan, J.-X., Deng, F., Li, Y.-L., Nautiyal, K.M., Pascoli, V., and Lüscher, C. (2021). Synaptic mechanism underlying serotonin modulation of transition to cocaine addiction. Science 373, 1252-1256.

Desrochers, S.S., Lesko, E.M., Magalong, V.M., Balsam, P.D., Nautiyal, K.M. (2021) A role for reward valuation in the serotonergic modulation of impulsivity. Psychopharmacology. 238(11):3293-3309

Lee,J.H., Capan, S., Lacefield, C., Shea,Y.M., Nautiyal, K.M (2020) DIY-NAMIC Behavior: A High-Throughput Method to Measure Complex Phenotypes in the Homecage. eNeuro 7(4).

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.
Pia-Kelsey T. O'Neill

Complete list can be found here

O'Neill, P.K.*, Posani, L.*, Meszaros, J., Warren, P., Schoonover, C., Fink, A.P., Axel, R., Fusi, S., Salzman, C.D. (2023) "The representational geometry of emotional states in the basolateral amygdala." bioRxiv.

Stujenske, J.M.*, O'Neill, P.K.*, Fernandes-Henriques C, Nahmoud I et al. (2022) "Prelimbic cortex drives discrimination of non-aversion via amygdala somatostatin interneurons." Neuron. Apr 5:S0896- 6273(22)00256-2.

O'Neill, P.K., Gore, F., Salzman, C.D. (2018) "Basolateral amygdala circuits in positive and negative valence." Curr. Op. in Neurobiology.

Parnaudeau, S.*, O'Neill, P.*, Bolkan, S., Ward, R.D., Abbas, A., Roth, B.L., Balsam, P., Gordon J.A., Kellendonk, C. (2013) "Inhibition of medio-dorsal thalamus disrupts thalamo-frontal connectivity and cognition." Neuron.

Shirinyan D., Teshiba T., Taylor K., O'Neill P., Lee S., Krasne F. (2006): "Rostral ganglia are required for induction but not expression of crayfish escape reflex habituation: role of higher centers in reprogramming low-level circuits," Journal of Neurophysiology.
Jonathan S. Phillips

Phillips, J., & Kratzer, A. (2024). Decomposing modal thought. Psychological Review, 131(4), 966.
Mills, T., & Phillips, J. (2023). Locating what comes to mind in empirically derived representational spaces. Cognition, 240, 105549.
Phillips, J., & Plunkett, D. (2023). Are there really any dual‐character concepts?. Philosophical Perspectives, 37(1), 340-369.
Bernhard, R. M., LeBaron, H., & Phillips, J. (2022). It's not what you did, it's what you could have done. Cognition, 228, 105222.
Morris, A., Phillips, J., Huang, K., & Cushman, F. (2021). Generating options and choosing between them depend on distinct forms of value representation. Psychological science, 32(11), 1731-1746.
Phillips, J., Buckwalter, W., Cushman, F., Friedman, O., Martin, A., Turri, J., Santos, L., & Knobe, J. (2020). Knowledge before Belief. Behavioral and Brain Sciences, 1-37. doi:10.1017/S0140525X20000618
Caroline Robertson

Steel, Silson, Garcia, Robertson. 2021. A retinotopic code structures the interaction between perception and memory systems. Nature Neuroscience 27, 339-347.

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

Steel, Billings, Silson, Robertson. 2021. A network linking scene perception and spatial memory systems in posterior cerebral cortex. Nature Communications. 12, 2632.

Cohen, Botch, Robertson. 2020. The limits of color awareness during active, real-world vision. PNAS. 117 (24) 13821-13827.

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

Graybiel AM, Smith KS (2014). How the brain makes and breaks habits. Scientific American, June issue (cover article). Link to site.
Bien EA, Smith KS (2023). The role of sex on sign-tracking acquisition and outcome devaluation sensitivity in Long Evans rats. Behavioural Brain Research, 455:114656.
Townsend ES, Smedley EB, Amaya KA, Smith KS (2023). Nucleus accumbens core acetylcholine receptors modulate the balance of flexible and inflexible cue-directed motivation. Scientific Reports, 13, 13375
Amaya KA, Smith KS (2021). Spatially restricted inhibition of cholinergic interneurons in the dosrolateral striatum promotes behavioral exploration. European Journal of Neuroscience, 53(8):2567-2579.
Amaya KA, Stott JJ, Smith KS (2020). Sign-tracking behavior is sensitive to outcome devaluation in a devaluation context-dependent manner: Implications for analyzing habitual behavior. Learning and Memory.
Crego ACG, Štoček F, Marchuk AG, JCarmichael JE, van der Meer MAA, Smith KS (2020). Complementary control over habits and behavioral vigor by phasic activity in the dorsolateral striatum. The Journal of Neuroscience.
Alireza Soltani

Trepka E, Spitmaan MM, Bari BA, Costa V, Cohen JY, Soltani A (2021). Entropy-Based Metrics for Predicting Choice Behavior Based on Local Response to Reward. Nature Communications, 12:6567.
Spitmaan MM, Seo H, Lee D, Soltani A (2020). Multiple Timescales of Neural Dynamics and Integration of Task-relevant Signals across Cortex. Proceedings of the National Academy of Sciences, 117 (36), 22522-22531
Farashahi S, Donahue C, Hayden B, Lee D, Soltani A (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour, 3(11), 1215-1224
Soltani A, Izquierdo A (2019). Adaptive learning under expected and unexpected uncertainty. Nature Reviews Neuroscience, 20(10), 635-644
Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A (2017). Feature-based Learning Improves Adaptability without Compromising Precision. Nature Communications, 8:1768.
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
Arjen Stolk

Koch SBJ, Tyborowska A, Niermann HCM, Cillessen AHN, Roelofs K, Bašnáková J, Toni I, Stolk A (2024). Integrating stereotypes and factual evidence in interpersonal communication. npj Science of Learning 9:52

Stolk A, Bašnáková J, Toni I (2022). Joint epistemic engineering: The neglected process in human communication. The Routledge Handbook of Semiosis and the Brain

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

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

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

Stolk A, D'Imperio D, di Pellegrino G, Toni I (2015). Altered communicative decisions following ventromedial prefrontal lesions. Current 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 meaning. Proceedings of the National Academy of Sciences 111 (51), 18183-18188

Stolk A (2014). In sync: Metaphor, mechanism or marker of mutual understanding? Journal 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 study. Cortex 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 innovation. Proceedings 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 children. PLoS 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
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.
Laurie A.S. Veillette, Psy.D.

Brochu, P.M., Veillette, L.A.S., Serrano, J.M., & Seidl, M. (2020). It's interpersonal: Internalized weight bias and suicidality are associated indirectly via perceived burdensomeness and thwarted belongingness. Stigma and Health. Advance online publication. doi: 10.1037/sah0000264

Veillette, L.A.S., Serrano, J.M., & Brochu, P.M. (2019, July). 6 recommendations to reduce weight stigma and discrimination in eating disorder treatment. [Web article.] Retrieved from http://www.societyforpsychotherapy.org/6-recommendations-to-reduce-weigh...

Veillette, L.A.S., Serrano, J.M., & Brochu, P.M. (2018). What's weight got to do with it? Mental health trainees' perceptions of a client with anorexia nervosa symptoms. Frontiers in Psychology, 9(2574). doi: 10.3389/fpsyg.2018.02574

Brochu, P.M., Pearl, R.L., & Simontacchi, L.A. (2018). Weight stigma and related social factors in psychological care. In S. Cassin, R. Hawa, & S. Sockalingham (Eds.), Psychological care in severe obesity: A practical approach. New York, NY: Cambridge University Press.
Shelley M. Warlow

Warlow SM, Singhal SM, Hollon NG, Faget L, Dowlat DS, Zell V, Hunker AC, Zweifel LS, Hnasko TS. (2023) Mesoaccumbal glutamate neurons drive reward via glutamate release but aversion via dopamine co-release. Neuron. doi: 10.1016/j.neuron.2023.11.002.

Warlow SM & Berridge KC (2021) Incentive motivation: 'wanting' roles of central amygdala circuitry. Behavioral Brain Research, 411:113376. doi: 10.1016/j.bbr.2021.113376

Zell V, Steinkellner T, Hollon NG, Warlow SM, Souter E, Faget L, Hunker AC, Jin X, Zweifel LS, Hnasko TS. (2020) VTA Glutamate Neuron Activity Drives Positive Reinforcement Absent Dopamine Co-release. Neuron. doi: 10.1016/j.neuron.2020.06.011

Warlow SM, Naffziger EE, Berridge KC (2020) The central amygdala recruits mesocorticolimbic circuitry for pursuit of reward or pain. Nature Communications, 11(1):2716. doi: 10.1038/s41467-020-16407-1 Featured in "Editor's Highlights: From brain to behaviour"; Faculty of 1000 recommended

Olney, JJ, Warlow, SM, Naffziger, EE, & Berridge, KC (2018) Current Perspectives on Reward Incentive Salience and Applications to Clinical Disorders. Current Opinion in Behavioral Sciences, 22:59-69. doi: 10.1016/j.cobeha.2018.01.007

Warlow, SM, Robinson, MJF & Berridge, KC (2017) Optogenetic amygdala stimulation intensifies and narrows motivation for cocaine. Journal of Neuroscience, 37(35):8330-8348 doi: 10.1523/jneurosci.3141-16.2017

Robinson, MJF, Warlow, SM, & Berridge, KC (2014) Optogenetic excitation of central amygdala amplifies and narrows incentive motivation to pursue one reward above another. Journal of Neuroscience, 34(50):16567-80doi: 10.1523/jneurosci.2013-14.2014 Featured in "This week in the journal"
Thalia Wheatley

Wohltjen, S., Toth, B., Boncz, A., & Wheatley, T. (2023). Synchrony to a beat predicts synchrony with other minds. Scientific Reports
Templeton, E., Chang, L.J., Reynolds, E., Cone LeBeaumont, M., Wheatley, T. (2022). Fast response times signal social connection in conversation. Proceedings of the National Academy of Sciences, 119, e2116915119
Wood, A., Kleinbaum, A., & Wheatley, T. (2022). Cultural diversity broadens social networks. Journal of Personality and Social Psychology
Wohltjen, S. & Wheatley, T. (2021). Eye contact marks the rise and fall of shared attention. Proceedings of the National Academy of Sciences. 118, e2106645118.
Wheatley, T., Boncz, A., Toni, T., & Stolk, A. (2019). Beyond the isolated brain: The promise and challenge of interacting minds. Neuron, 106, 186-188.
Sievers, B., Lee, C. Haslett, W. & Wheatley, T. (2019). A multi-sensory code for emotional arousal. Proceedings of the Royal Society B, 286, 20190513
Parkinson, C., Kleinbaum, A., & Wheatley, T. (2018). Similar neural responses predict friendship. Nature Communications, 9:332.
Kang, O.E. & Wheatley, T. (2017). Pupil dilation patterns spontaneously synchronize across individuals during shared attention. JEP: General, 146, 569-576
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.