Colloquium: Gilles Vannuscorps

111 Krieger Hall 3400 N Charles St, Baltimore, MD, United States

This event will be offered in-person and synchronously online. The nature of mid-level representations in visual processing inferred from the study of a woman with a highly specific developmental visual […]

Colloquium: Daniel Dilks

111 Krieger Hall 3400 N Charles St, Baltimore, MD, United States

Prof. Daniel Dilks is an associate professor of psychology at Emory University. His research focuses on three big questions about human vision: i) How is the visual cortex functionally organized?, […]

Omega Psi @ Student Involvement Fair

Ralph S. O’Connor Recreation Center 3400 N Charles St, Baltimore, Maryland, United States

Check out the Omega Psi booth! Omega Psi is the honor society for undergraduate students in cognitive science. You'll have an opportunity to... meet with the current executive board members,get to know more about Omega Psi, […]

Brown Bag Talk: Raj Magesh

111 Krieger Hall 3400 N Charles St, Baltimore, MD, United States

How much do we know about visual representations? Quantifying the dimensionality gap between DNNs and visual cortex'. Abstract: Deep neural networks (DNNs) can explain a large portion of variance in […]

PhD Application Mentoring Sign-up

A group of graduate students and postdoctoral fellows from the Department of Cognitive Science at Johns Hopkins, are offering one-on-one mentoring about applying to our department, with priority given to […]

Colloquium: James Haxby

111 Krieger Hall 3400 N Charles St, Baltimore, MD, United States

Modeling shared and variable information encoded in fine-scale cortical topographies.   ABSTRACT: Information is encoded in fine-scale functional topographies that vary from brain to brain. Hyperalignment models information that is shared […]

Brown Bag Talk: Atlas Kazemian

111 Krieger Hall 3400 N Charles St, Baltimore, MD, United States

Current MA student Atlas Kazemian will give a talk on "Toward a computational neuroscience of visual cortex without deep learning."