Instructors: Mathis Lamarre, Anuja Negi, Fatma Deniz
Overview
Language | English |
Credits | 3 ECTS |
Lecture Period | Oct 24 - Feb 13, 2024 |
Time | Thursdays @ 3-4:30pm |
Location | MAR 5.044 |
ISIS | link |
Content
In the neurocolloquium, we read and discuss recent scientific publications from the field of computational cognitive neuroscience. A particular focus will be on literature that uses methods from the field of computer science and artificial intelligence as a means of modelling brain functions – in particular language – as represented in functional Magnetic Resonance Imaging (fMRI) data.
Learning outcomes
Students will become familiar with topics and debates within the field of language research and cognitive neuroscience. Furthermore, they will learn to read and discuss scientific articles and gain an understanding of how computational approaches can be applied to brain research.
Structure
Each week, one paper will be read in advance and discussed together in detail. At the beginning of the course, each student will be assigned one paper for which they will prepare a small presentation of the methods section which they will present prior to the discussion. Depending in the scope of these method sections, presentations should be around 10-15 minutes and should be accompanied by slides.
Schedule
Date | Paper | Presenter |
Oct 24, 2024 | –cancelled– | – |
Oct 31, 2024 | Scaling laws for language encoding models in fMRI | Mathis Lamarre |
Nov 7, 2024 | Improving semantic understanding in speech language models via brain-tuning | Subba Reddy Oota |
Nov 14, 2024 | Reclaiming AI as a Theoretical Tool for Cognitive Science | Ryan Gelston |
Nov 21, 2024 | Longitudinal single-subject neuroimaging study reveals effects of daily environmental, physiological, and lifestyle factors on functional brain connectivity | Anuja Negi |
Nov 28, 2024 | Dimensions underlying the representational alignment of deep neural networks with humans | Hector Mendoza |
Dec 5, 2024 | Multimodality and Attention Increase Alignment in Natural Language Prediction Between Humans and Computational Models | Bonnie Brader |
Dec 12, 2024 | A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations | Bernardo Ortega |
Dec 19, 2024 | Principles of intensive human neuroimaging | |
Jan 9, 2024 | How right hemisphere damage after stroke can impair speech comprehension | |
Jan 16, 2024 | Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models | Ryan Gelston |
Jan 23, 2024 | Negation mitigates rather than inverts the neural representations of adjectives | Bonnie Brader |
Jan 30, 2024 | Pronouns reactivate conceptual representations in human hippocampal neurons | Bernardo Ortega |
Feb 6, 2024 | Stacked regressions and structured variance partitioning for interpretable brain maps | Hector Mendoza |
Feb 13, 2024 | The language network as a natural kind within the broader landscape of the human brain | Ryan Gelston |