Lab News

The lab attended The Future of Psychiatry conference in Oxford (2 posters by Klara/Evie/Rohan/Dilay and Abel/Rohan)
08/07/2026

Anton Doganov joined the lab as a postdoc
29/06/2026

Ioanna Pandi joined the lab for 4 months
18/06/2026

The lab attended the Blizard Graduate Studies Day
12/06/2026

Amber McLaughlin (Mount Sinai) visited the lab
14/05/2026

Stella Corsetti (St Andrews) visited the lab
15/04/2026

Jeetu Sharma (MIT) visited the lab
14/04/2026

Abel Rassat joined the lab for 6 months
26/03/2026

Mariana Vargas visited the lab
25/03/2026

The lab attended the Oxford Neuroscience Symposium (posters)
18/03/2026

Abhi, Rohan & Dilay attended COSYNE with 2 posters by Rohand and Mia (Summerfield Group)
12/03/2026

The lab attended the QM Mental Health Symposium: Mind the Brain
09/03/2026

Lab Fondue at Abhi's
06/03/2026

Rohan gave a talk at the Neural Systems seminar series in DPAG
28/01/2026

Pharmacology Dept Research Symposium: Rohan gave a talk; Jasper, Mengke and Dilay presented posters. Mengke awarded best staff poster
16/01/2026

Welcome to the Adaptive Decisions Lab led by Abhishek Banerjee!

Abhi is a Professor of Neuroscience at Barts and the London School of Medicine/Queen Mary and a PI at the University of Oxford, UK. Abhi's lab is interested in studying neural circuit mechanisms underlying the flexibility of decision-making and how circuit dysfunctions arise in animal models of neurological disorders.

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Research

The research in the Adaptive Decisions Lab is focused on understanding the dynamics of micro and mesoscopic circuits, with the primary goal to elucidate how dysfunction in mechanisms at either spatial scale leads to pathophysiology in autism spectrum disorders. We achieve this by combining rodent behavioural tasks with novel mesoscopic and 2-photon calcium imaging, optogenetics, and region-specific CRISPR-Cas9 editing of disease-related genes.

Collaborators:

Flexible decision-making in humans (Dr Burkhard Pleger, Ruhr University, Bochum, Germany)
Emerging algorithms in reinforcement learning (Prof. Walter Senn, Universität Bern, Switzerland)
Bayesian models of behaviour (Prof. Mark Humphries, University of Nottingham, UK)
Reinforcement learning models of behaviour (Prof. Chris Summerfield, University of Oxford, UK)
Neuromorphic engineering and machine learning (Dr Mattia Rigotti, IBM, Switzerland)