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 -