Edinburgh Research Explorer

David Sterratt

University Teacher

Research Interests

Computational Neuroscience, multiscale modelling, development of the nervous system, synaptic plasticity

Qualifications

1996–2001 PhD, University of Edinburgh

1995–1996 MSc, Cognitive Science and Natural Language (with Distinction), University of Edinburgh

1991–1995 MSci Honours (1st Class), Physics, University of St Andrews (Included one year (1993–1994) at the University of Bayreuth in Germany.)

Biography

I am a researcher in Douglas Armstrong’s group at the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh.

My research interests are in the area of computational neuroscience and include: Multiscale modelling of biochemical networks within compartmental models of neurons, measuring and modelling the development of topography in the nervous system, including the Retistruct software package and learning and memory.

Highlighted research outputs

  1. Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Quantitative Assessment of Computational Models for Retinotopic Map Formation

    Research output: Contribution to journalArticlepeer-review

  3. Analysis of local and global topographic order in mouse retinocollicular maps

    Research output: Contribution to journalArticlepeer-review

  4. Integration of rule-based models and compartmental models of neurons

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Principles of Computational Modelling in Neuroscience

    Research output: Book/ReportBook

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