News and Events
David Lubinski's research makes The Boston Globe's Top Ten articles of 2014!
January 19, 2015—Coverage of David Lubinski, Camilla Benbow, and Harrison Kell's research on the Study of Mathematically Precocious Youth has gone viral! Study results from 2013 were featured in The Boston Globe and this article received so many online hits it landed in third place on the The Boston Globe's Top 10 List of "Idea Pieces" for 2014! The Top 10 list can be viewed here. Subsequently, Lubinski, Benbow, and Kell's 2014 Psychological Science article was featured in The Huffington Post. Congratulations!
January 8, 2015—Bunmi Olatunji has been selected as one of the recipients of the 2015 American Psychological Association (APA) Distinguished Scientific Award for Early Career Contribution to Psychology in the area of applied research. This is a highly competitive award that highlights the important contributions that Bunmi has already made to the field.
December 19, 2014—Professor Jeffrey Schall has been named a fellow of the American Association for the Advancement of Science. Association fellows are elected by their peers for advancing science or its applications. Schall, the E. Bronson Ingram Professor of Neuroscience and professor of ophthalmology and visual sciences, was elected for his groundbreaking work regarding visual perception, cognitive control and decisionmaking.
Congratulations to Ben and Anat!
November 26, 2014—Dr. Benjamin-Tamber Rosenau and Anat Fintzi, post-doctoral fellow and graduate student in the laboratory of Dr. René Marois, respectively, have won the best poster award at the 2014 Object Perception, visual Attention, and visual Memory (OPAM) annual conference held in Long Beach, CA, for their work on the spatial resolution of visual working memory. This award is given in recognition of the best research (poster division) presented at this conference.
Dr. Kei Fukuda wins the APA Division 3 award for best Psychonomic Society poster!
November 24, 2014—We would like to congratulate Dr. Kei Fukuda, postdoctoral researcher in Prof. Geoff Woodman’s lab, for winning the American Psychological Association’s Division 3 award for best Psychonomic Society poster at the annual meeting in Long Beach, California. This prestigious early career award recognizes excellent work in the experimental domain. Great work, Kei!
October 27, 2014—Kris Preacher won the Tanaka Award for Best Article of 2013 in the journal Multivariate Behavioral Research. This award was given by the Society for Multivariate Experimental Psychology for the article: Preacher, K.J., Zhang, G., Kim, C., & Mels, G. (2013). Choosing the optimal number of factors in exploratory factor analysis: A model selection perspective. Multivariate Behavioral Research, 48, 28-56.
Welcome Anita Disney!
October 2, 2014—The Department of Psychological Sciences would like to welcome our newest faculty member. here is a news piece on her work.
Sonya Sterba, Quantitative Methods, Vanderbilt Dept. of Psychology & Human Development
Study designs involving clustering in some study arms, but not all study arms, are common in clinical treatment-outcome and educational settings. For instance, in a treatment arm, persons may be nested within therapy groups, whereas in a control arm there are no groups. Methodological approaches for handling such partially nested designs have previously been developed in a multilevel modeling framework (MLM-PN, e.g., Bauer, Sterba, & Hallfors, 2008). Recently, two alternative structural equation modeling (SEM) approaches for analyzing partially nested data were introduced: a multivariate single-level SEM (SSEM-PN) and a multiple-arm multilevel SEM (MSEM-PN) (Sterba, Preacher, Forehand, Hardcastle, Cole, & Compas, 2014). In this talk, I compare and contrast these approaches and show how SSEM-PN and MSEM-PN can produce results equivalent to existing MLM-PNs. I also describe how they can be extended to flexibly accommodate several modeling features that are difficult or impossible to handle in MLM-PN. Importantly, implementation of such features for partially nested designs differs from fully nested designs. An empirical example involving a partially nested depression intervention (Compas et al., 2009, 2011, in press) combines several of these features in an analysis of interest for treatment-outcome studies.
Gloria Han, Department of Psychology (Tomarken Lab), Vanderbilt University
Title and Abstract TBA
Chai-Youn Kim, Ph.D., Associate Professor, Department of Psychology, Korea University
Wilson Hall 115
"Determinants of grapheme-color association in synesthesia"
Professor Suzana Herculano-Houzel, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro
Wilson Hall 316
When larger brains and bodies do not have more neurons: implications for evolution
It has been a basic assumption of comparative and evolutionary neurobiology that larger brains and bodies require larger numbers of neurons to operate them. But do they? And is the relationship between body or brain size and number of neurons across species a product of natural selection acting on a similar relationship across individuals of a same species? Data to be presented in this talk show that, in mammalian, reptile and mollusk species alike, larger brain and body mass are not necessarily correlated with more neurons across individuals. These and other results to be discussed argue that it is not that larger bodies require more neurons, but rather that they allow more neurons to survive; and that evolution happens through selection for step changes in numbers of neurons, rather than by selection for gradual variations.
Lea Williams, Ph.D., Professor, Stanford University
Thursday April, 2, 2015
4:10 p.m. 102 Buttrick Hall
"A translational neural circuit model of mental disorder: Implications for classification and treatment”
Complex emotional and cognitive functions rely on the connectivity of large-scale neural circuits. These circuits offer a relevant scale of focus for redefining mental disorders as ³neural circuit types² that reflect different types of neural circuit disconnection and dysfunction. Based on the existing scientific knowledge I will summarize a proposed taxonomy of ³neural circuit types² for depression and anxiety. With regard to clinical translation, I consider how these connectome types may act as biomarkers for helping guide personal treatment selection and for developing novel treatments. I also consider how we might validate a neural circuit model that spans diagnostic categories and will help to translate neuroscience into clinical practice in the real world.
Wilson Hall 115
Title and Abstract TBA