ARTIFICIAL INTELLIGENCE AND THE HUMAN BRAIN

NEUROCOG is an international biannual conference in cognitive neurosciences intending to provide a workshop for recent advances in all domains of cognitive neurosciences. The 2025 conference topic is AI and the human brain. The 2-day conference is organised around six invited talks provided by leaders in their field. As NEUROCOG aims at creating a sense of community among the researchers, each keynote talk will be followed by an extended discussion time to encourage interactions between the speaker and the audience. With the same goal of fostering the interactions and discussions among the attendants, there will be no parallel talk sessions and the number of individual talks, as the number of attendants, will be limited. Two guided poster sessions will finally be organized with several poster prizes awarded on a competitive basis.

REGISTRATION AND POSTER SUBMISSION FROM JUNE 1ST 2025

Speakers

University of Oxford

Chris Summerfield

Chris Summerfield is a cognitive neuroscientist known for his research on memory, perception, and decision-making. He has made significant contributions to understanding how the brain processes and integrates information to guide behavior.

https://www.psy.ox.ac.uk/people/christopher-summerfield

Massachusetts Institute of Technology

Evelina Fedorenko

Evelina Fedorenko is a cognitive neuroscientist whose research explores the neural mechanisms of language processing in the brain. She is known for her work using neuroimaging techniques to investigate how language is represented and processed in the brain.

https://www.evlab.mit.edu

University of Bristol

Jeff Bowers

Jeff Bowers is a cognitive scientist whose research focuses on the intersection of vision, language, and memory. His is particularly well known for his work on the neural representations and cognitive processes underlying human vision and language.

https://jeffbowers.blogs.bristol.ac.uk

University of Amsterdam

Iris Groen

Iris Groen performs interdisciplinary research at the interface of computer vision and cognitive neuroscience, aimed at understanding naturalistic perception in the human brain. She uses computational models of vision to predict human perception and brain activity measured with human brain imaging techniques such as fMRI, EEG and ECoG.

www.irisgroen.com

Max Planck Institute for Software Systems

Mariya Toneva

Mariya Toneva works at the intersection of machine learning, natural language processing and neuroscience. She builds computational models of language processing in the brain that can also improve natural language processing systems.

http://mtoneva.com/

University of Hamburg

Nicolas Schuck

Nicolas Schuck aims to understand how decision making problems are represented in the brain by applying computational models and pattern recognition algorithms to experimental data from functional magnetic resonance imaging (fMRI). This approach allows to decode the information hidden in the complex brain activation patterns of humans while they make decisions.

https://www.mpib-berlin.mpg.de/staff/nicolas-schuck