Neurocolloquium
Journal Club
Instructors: Mathis Lamarre, Anuja Negi, Fatma Deniz
Overview
Language | English |
Credits | 3 ECTS |
Lecture Period | Apr 15 - July 20, 2024 |
Time | Thursday @ 3-4:30pm |
Location | MAR 5.044 |
Course Website | Webpage |
ISIS | link |
Content
In the neurocolloquium, we will 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 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
April 25, 2024 | Dissociating language and thought in large language models | - |
May 2, 2024 | System identification of neural systems: If we got it right, would we know? | - |
May 16, 2024 | Encoding and decoding in fMRI | - |
May 23, 2024 | Shared functional specialization in transformer-based language models and the human brain | - |
May 30, 2024 | - | - |
June 6, 2024 | Recurrent neural networks as neuro-computational models of human speech recognition | - |
June 13, 2024 | Joint processing of linguistic properties in brains and language models | - |
June 20, 2024 | Combining computational controls with natural text reveals aspects of meaning composition | - |
June 27, 2024 | Neural representations of concrete concepts enable identification of individuals during naturalistic story listening | - |
July 4, 2024 | BrainLM: A foundation model for brain activity recordings | - |
July 11, 2024 | BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding | - |
July 18, 2024 | Beyond linear regression: mapping models in cognitive neuroscience should align with research goals | - |