We work on three main areas: Learning & Memory, Autism, and Statistical methods for neural data.
Learning and Memory
What is different in the brains of autistic people? We collaborate with researchers who work on animal models of autism to ask what is different at the level of neural circuits. Currently we are working on the neural variability hypothesis: that the brains of autistic people respond with more variability to sensory stimuli. Also asking how computational modelling can inform neural circuit-level understanding of autism mechanisms.
Work by Beatriz and Cian.
Statistical methods for neural data
How should we analyse data from large numbers of neurons? We work on statistical methods for analysing large-scale neural datasets, including: probabilistic models of neural population activity distributions, network science methods, and bayesian hierarchal modelling.
Work by Thomas, Sydney and Cian.