Recent News

Rohan visiting Bekinschtein Lab, Cambridge

Mon, 17/10/2022

MRC-AMED meeting in Karuizawa, RIKEN/ATR visit

Mon, 28/09/2022

Michael Goard visiting the lab

Thurs, 08/09/2022

Lab Posters at FENS

July 9-13, 2022

New paper in Current Opinion

30/03/2021

Adam Chapman's PhD funding

27/03/2021

New paper in Nature

03/09/2020

New preprint in bioRxiv

Thu, 12/03/2020

AREADNE abstract accepted

Mon, 24/02/2020

Talk at McGill, Montréal

Thu, 07/11/2019

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Welcome to Abhishek Banerjee's Lab Homepage.


Abhi is a Senior Lecturer/Associate Professor at Newcastle University. 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)

Decoding Statistical Nature of Decision-making in Rodents

Inhibitory Interneurons in Neural Circuit Function and Dysfunction 

Cellular and Molecular mechanisms behind Neurodevelopmental Disorders

Brain-wide PV+ interneuron distribution

Cell-specific MeCP2 deletion in Rett syndrome

Synapse-specific Plasticity

and Learning Rules

Emerging algorithms in Reinforcement Learning

Investigating Task-dependent Neural Dynamics in Cortical Circuits

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Patch-clamp slice electrophysiology

Local and long-range cortico-thalamic projections

Ca2+ responses from cortical L2/3 neurons

 

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