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Neuroscience Brown Bag Series: Anders Petersen
March 26, 2015

Anders Petersen Ph.D., Department of Psychology, Center for Visual Cognition, University of Copenhagen

Thursday, 3/26/2015

12:10 p.m. Wilson Hall 316

Recent developments in a computational theory of visual attention

 The theory of visual attention (TVA) is a computational implementation of the principle of biased competition: All possible visual categorizations of objects compete to become encoded intovisual short-term memory, with some more likely to succeed than others depending on perceptual biases. The first article to introduce TVA was published 25 years ago but the theory is continuously being developed. In this talk, I will describe two of the most recent developments. More specifically, I will describe a possible extension of the theory to account for temporal dynamics (e.g., attentional blink) and how perceptual biases may be calculated as a product of three factors: the expectancy (prior probability) of being presented with members of certain category, the utility (subjective importance) of seeing an object as a member of certain category, and the general level of alertness.


Quantitative Methods Colloquium Series: Structural equation modeling approaches for analyzing partially nested data
March 30, 2015

Structural equation modeling approaches for analyzing partially nested data
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.

Clinical Science Brown Bag Series: Gloria Han
March 31, 2015

Gloria Han, Department of Psychology (Tomarken Lab), Vanderbilt University

Tuesday, 3/31/15


WH 316

Title and Abstract TBA

CCN Brown Bag Series: Chai-Youn Kim
April 1, 2015

Chai-Youn Kim, Ph.D., Associate Professor, Department of Psychology, Korea University

Wednesday, 4/1/15

12:10 p.m.

Wilson Hall 115

"Determinants of grapheme-color association in synesthesia"

Neuroscience Brown Bag Series: Suzana Herculano-Houzel
April 2, 2015

Professor Suzana Herculano-Houzel, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro

Thursday, 4/2/15

12:10 p.m.

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.



Department of Psychology Colloquium Series presents Lea Williams
April 2, 2015

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.



Cancelled - CCN Brown Bag Series
April 8, 2015

Wednesday, 4/8/15

12:10 p.m.

Wilson Hall 115

Title and Abstract TBA

Neuroscience Brown Bag Series: Emily Rockoff
April 9, 2015

Emily Rockoff, Department of Psychology (Kaas Lab), Vanderbilt University

Thursday, 4/9/15

12:10 p.m.

Wilson Hall 316

Title & Abstract TBA

Clinical Science Brown Bag Series: Taylor Benson
April 14, 2015

Taylor Benson, Department of Psychology (Park Lab), Vanderbilt University

Tuesday, 4/14/15


WH 316

Title and Abstract TBA

CCN Brown Bag Series: Kevin Dieter
April 15, 2015

Kevin Dieter, Ph.D., Department of Psychology (Blake Lab), Vanderbilt University

Wednesday, 4/15/15

12:10 p.m.

Wilson Hall 115

“Psychophysical and neural correlates of sensory eye dominance.”

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