π Kings College London
Broadly iβm interested in how people think and learn differently, I approach this from an interest in understanding individual differences and psychiatric disorders. To do this I use a combination of behavioural experiments, computational modelling and machine learning.
I am also interested in how cognitive science can be used to make more human-like and human-centric AI, and itβs potential use in AI alignment and mechanistic interpretability.
Iβm currently a postdoc working with Toby Wise at Kings College London, working on building computational models of repetitive negative thought patterns. Previously, I completed my PhD at UCL, with Neil Burgess and Rick Adams .
π CV / π Google Scholar/ π§ ingrid.martin [at] kcl.ac.uk / BlueSky / GitHub
July 2025 π’ I gave a talk on my PhD work at MEG UK 2025 - London
June 2025 π’ Organising a workshop on gamification in cognitive and computational neuroscience at RLDM 2025 - see you in Dublin!
Sept 2024 π New preprint on model-based planning deficits and compulsivity PsyArXiv!
π Manuscripts currently under review and preprints
Impaired goal-directed planning in transdiagnostic compulsivity is explained by uncertainty about learned task structure
Sirichat Sookrud, *Ingrid M. Martin, Claire Gillan, Toby Wise
PsyArXiv
π Peer-reviewed articles
Evidence for a Primary Prior Deficit as a Mechanism of Auditory Hallucinations
Julia Rodriguez-Sanchez, Hope Oloye, *Ingrid M. Martin, Daniel Hauke
Journal of Neuroscience 43 (50), 8579-8581, 2023
Boosting serotonin increases information gathering by reducing subjective cognitive costs
Jochen Michely, *Ingrid M. Martin, Raymond J. Dolan, Tobias Hauser
Journal of Neuroscience 43 (32), 5848-5855, 2023
Serotonin modulates asymmetric learning from reward and punishment in healthy human volunteers
Jochen Michely, Eran Eldar, Alon Erdman, *Ingrid M. Martin, Raymond J. Dolan
Communications Biology 5 (1), 812, 2022
A mechanistic account of serotoninβs impact on mood
Jochen Michely, Eran Eldar, *Ingrid M. Martin, Raymond J. Dolan
Nature Communications 5 (1), 812, 2020