Event Category: All Events

  • Category All Events
  • From January 1, 2018

ILST Seminar: Nicole Giovannone

December 1, 2023
1:30 PM - 3:00 PM

Nikole Giovannone Word Recognition & Auditory Processing Lab Villanova University   Why are some listeners more lexical than others?   Speech is an astoundingly complex signal. Even at the level of individual speech sounds there is enormous acoustic-phonetic variability both across and within speakers. Successful speech perception is often described in terms of finding a […]

We will also stream this seminar via Zoom. For the link, please contact us: pennmindcore@sas.upenn.edu   Taraz Lee Department of Psychology University of Michigan   Cognition, Control, and Action: the multifaceted interplay between cognitive and motor systems   Cognitive Control is a term used to describe the ability to flexibly adapt information processing and behavior […]

Mixed-effects regression models have been a popular choice of statistical analysis in experimental psychology and linguistics research. While they’ve historically been developed and taught in R (namely, via the lme4 package), a newer implementation in the Julia programming language called MixedModels.jl has emerged and matured as a successor. The MixedModels.jl Julia library preserves much of the familiar interface from […]

This seminar will be presented via Zoom. For the Zoom link, please contact: pennmindcore@sas.upenn.edu   Kristian Steensen Nielsen Department of Management, Society and Communication Copenhagen Business School   Behavioral research on climate change mitigation   Addressing climate change requires unprecedented societal transformations within a short time frame. Behavioral science has an important role to play […]

LDC Institute

December 1, 2023
11:00 AM - 12:30 PM

David Temperley Eastman School of Music   In person: LDC Conference Room (Room 135), 3600 Market Street, Suite 810   For the Zoom link, please email: pennmindcore@sas.upenn.edu   Repetition and Information Flow in Music and Language   The theory of Uniform Information Density makes two predictions regarding the use of repetition: (1) when a pattern […]