The Vogels Lab is located at the University of Oxford. We are looking to build models of neurons and neuronal networks that distill and re-articulate our current knowledge of how nervous systems compute at a mechanistic level. In particular, we are interested in the neuronal interplay of excitatory and inhibitory activity in cortex and how these dynamics can form reliable sensory perceptions, stable memories, and motor outputs.
More specifically, the work in our lab is divided into three main areas:
Plasticity — we aim to find the rules governing how the brain updates its synaptic connections in order to learn and adapt to a changing world. In collaboration with experimentalists working on various systems from humans to the fruit fly, we build mechanistic models of synaptic plasticity to help elucidate (i) how plasticity differs across different cell types in cortical networks, (ii) how learning is guided by neuromodulatory signals, (iii) how learning changes across development, and (iv) how changes in synaptic connections affect the resulting neuronal network dynamics used for computation.
Network dynamics and computation — we seek to understand how neuronal networks process and transform sensory inputs, store and manipulate memories, and send motor outputs. By building and analysing models of spiking and firing-rate neuronal networks, we study the role of inhibition and excitatory-inhibitory balance in processing and gating the flow of information, and how contextual and reinforcement signals modify network properties to produce the flexible and complex dynamics seen in current large-scale neuronal recordings.
Ion channels and single-neuron biophysics — we build detailed biophysical models of single neurons in order to understand the complex input-output relationships at the level of single neurons and their dendritic branches. In collaboration with researchers at EPFL (Lausanne) and the CNCB (Oxford), we have created an extensive database of ion channel models and their relationships, to facilitate better experimentally-constrained modelling (ICGenealogy). We are now working to expand this resource into other areas of neuroinformatics in order to help make sense of the large amounts of data that experimental and computational neuroscience currently produces.
We are based in the Centre for Neural Circuits and Behaviour (CNCB), and part of the Department of Physiology, Anatomy and Genetics (DPAG), University of Oxford.
Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford, OX1 3SR, United Kingdom.