Brain Meeting: Noor Sajid
03 May 2024, 3:15 pm–4:15 pm
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A Bayesian approach to computational neuropsychology
This event is free.
Event Information
Open to
- All
Cost
- Free
Organiser
-
Brain Meetings
Location
-
Seminar Room12 Queen SquareQueen SquareLondonWC1N 3ARUnited Kingdom
Bayesian theories have profoundly impacted neuroscience by advancing our formal understanding of neurological disorders. In this talk, I will present a Bayesian framework to neuropsychology, utilising the rigour of generative modelling to explore syndromes such as speech disorders. In the first part of the talk, I will elucidate the construction of these models under the paradigm of active inference, detailing their ability to encapsulate complex environmental dynamics. I will show that these models can support context-sensitive planning and different inference and learning processes, offering computational insights into systemic resilience against perturbations. In the latter half, I will illustrate the application of these models in dissecting the mechanisms underlying neuropsychological dysfunction. This includes a computational perspective on the interaction between brain lesions and their symptomatic expressions. Here, I will introduce the concept of functional degeneracy, and show how it can be used to assess degenerate architectures and potential recovery mechanisms in both intact and impaired brains. I will conclude with a discussion of how these models could facilitate personalised interventions post-neurological damage, thereby paving the way for targeted therapeutic strategies in the future.
Please contact ion.fil.brainmeetings@ucl.ac.uk for a Zoom link.
About the Speaker
Noor Sajid
Postdoctoral research fellow at Max Planck for Biological Cybernetics
Noor is incoming Kempner Research Fellow at Harvard University (Sept 2024)
More about Noor Sajid