Thank you to Dr. Vicky Lai for hosting Gina's virtual visit to the University of Arizona, where she gave an invited talk at the Cognitive Science Virtual Colloquium Series: “Does hierarchical predictive coding mediate language comprehension? Evidence from multimodal neuroimaging.” Click for abstract.
Tufts is hosting an event to launch the Stibel Dennett Consortium for Brain and Cognitive Science on Thursday, October 22, 2020 at 4 PM Eastern
The Stibel Dennett Consortium was made possible by gifts from Jeff Stibel, a Tufts graduate in Cognitive Science, and it aims to enhance the interdisciplinary scholarship and research of the Brain and Cognitive Science community at Tufts, see Tufts Stibel Dennett Consortium. In addition to creating two endowed professorships, one of which Dr. Kuperberg is an inaugural recipient, Stibel donated a company (BrainGate, Inc.) and associated intellectual property focused on the development of brain-computer interfaces.
The live stream will feature a panel discussion featuring Jeff and members of the Tufts Cognitive Science community, as well as a brief talk by Gina about the impact of our lab’s research on future brain-computer interfaces.
Trevor Brothers and Gina Kuperberg have had their paper "Word predictability effects are linear, not logarithmic: Implications for probabilistic models of sentence comprehension" accepted for publication in the Journal of Memory and Language.
Goodbye and good luck to Sophie Greene, who joined our lab as a research assistant in May 2018. Sophie ran participants for many EEG studies as well as coordinated the efforts of all our undergrad RAs and mentored several of them. She is planning on continuing in biomedical research before going on to medical school. Thank you to Sophie for all your hard work in the lab and best of luck in the future!
Thank you to the wonderful undergraduate students who worked in our lab over the past academic year: Feng (Ted) Cheng, Emma Fleisher (who graduated this year!), Elizabeth Kenneally, Maya Lazarus, Sydney McKiernan, Santiago Noriega, Cassidy Prejean, and Elizabeth Weber.
CNS 2020 went virtual this year, and the lab presented several posters:
Trevor Brothers, Sophie Greene, and Gina Kuperberg presented a poster, titled "Distinct neural signatures of semantic retrieval and event updating during discourse comprehension" (link to poster and abstract)
Sophie Greene, Trevor Brothers, Elizabeth Weber, Santiago Noriega, and Gina Kuperberg presented a poster, titled "The time course of predictability and plausibility effects during discourse comprehension" (link to poster and abstract)
Victoria Sharpe, Lin Wang, Nathaniel Delaney-Busch, and Gina Kuperberg presented a poster, titled "The neural basis of the negativity bias" (link to poster and abstract)
Lin Wang and Gina Kuperberg presented a poster, titled "A systematic comparison between spatial similarity and evoked responses in EEG and MEG during language comprehension" (link to poster and abstract)
Victoria Sharpe, Kirsten Weber, and Gina Kuperberg have had their paper, "Impairments in probabilistic prediction and Bayesian learning can explain reduced neural semantic priming in schizophrenia," accepted for publication in the Schizophrenia Bulletin.
Congratulations to Andy Valenti from Matthias Scheutz's lab here in the Department of Computer Science at Tufts, who defended his PhD thesis, "A Companion Robot for Modeling the Expressive Behavior of Persons with Parkinson's Disease." Gina served on his thesis committee along with Dr. Scheutz and other committee members: JP deRuiter, Antonio Roque, and Matthew Marge.