The aim of our research is to understand how the brain achieves and maintains function and stability throughout life. As in all biological systems, in the brain important things happen simultaneously on different scales, from the sub-cellular level to entire circuits and beyond, and from milliseconds to a lifetime. We address this problem through computational modelling and the analysis of neurophysiological data. Models help us to understand the interactions between these scales, and to interpret and augment experimental findings. Specifically, our work is currently in the following areas:
- Function, plasticity and homeostasis at the sub-cellular and cellular level
- Stability and function in networks of neurons
- Analysis of high-density multielectrode recordings
- Homeostatic signalling in neurons is usually considered a local process, where each neuron controls its own activity irrespective of the activity of other neurons. In this paper, we show that network dynamics can be substantially affected by diffusible homeostatic messengers such as nitric oxide.
- New paper on sloppiness in networks of neurons. Here we show that not all neurons are equal during spontaneous network remodelling, and suggest a method how this can be analysed in multi-neuron recordings.
- Bioinformatics I coming up after the summer, check the course website for updates.
- Our work was on display as part of the Patrick Wild Centre and Mindroom exhibition: The Brain - Is Wider than the Sky!
This picture was generated using data from our recent paper on retinal waves recorded with high density MEA.
This work is currently funded by the EC grant RENVISION (2013-2016), and
research grants from the BBSRC and EPSRC.