Researcher

David Willshaw

David Willshaw is a computational neurobiologist whose research ranges from associative memory to self-organizing neural maps. He begins his research career at Edinburgh's School of Artificial Intelligence in 1970, completes a PhD on distributed associative memory in 1971, and coauthors a neural-mapping paper with Christoph von der Malsburg. His career includes Medical Research Council posts, leadership of Edinburgh's Institute for Adaptive and Neural Computation, and the 1992 IEEE Neural Networks Council Pioneer medal. His later work includes a 2015 framework for comparing retinotopic-map models and a computational-neuroscience textbook published in 2023. As of October 2026, he is an Emeritus Professor of Computational Neurobiology and honorary staff member in the University of Edinburgh's School of Informatics.

Works
189
Citations
7,520
h-index
43

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1970–1973

    Research Fellow and PhD student

    He begins as a Research Fellow in the Theoretical Psychology Unit at Edinburgh's School of Artificial Intelligence in 1970. He completes a PhD thesis titled "Models of Distributed Associative Memory" in 1971 and moves to the Max-Planck Institute for Biophysical Chemistry in Göttingen in 1973.

  2. 1976–1988

    Self-organizing neural connections

    He and Christoph von der Malsburg publish a paper on self-organizing neural connections in 1976. He joins the MRC as a Training Fellow at the National Institute for Medical Research in 1977, becomes a staff member in 1980, joins MRC Scientific Staff at Edinburgh's Department of Zoology in 1984, and moves to its Centre for Cognitive Science in 1988.

  3. 1992

    An IEEE neural networks medal

    He receives the IEEE Neural Networks Council Pioneer medal in 1992 for contributions to neural-network research.

  4. 1996–2006

    Head of neural computation

    Edinburgh promotes him to MRC Professor equivalent in 1996. He heads the Institute for Adaptive and Neural Computation from 1998 to 2004 and receives a Personal Chair in Computational Neurobiology in 2006.

  5. 2015

    Comparing retinotopic models

    With Johannes Hjorth, David Sterratt, Catherine Cutts, and Stephen Eglen, he publishes an open computational framework in 2015 to compare models of retinotopic map formation with experimental data.

  6. 2023

    A computational neuroscience textbook

    He coauthors the second edition of Principles of Computational Modelling in Neuroscience, published in 2023. The book teaches computational techniques for modelling neurons and neural circuitry.

  7. As of October 2026

    Emeritus professor at Edinburgh

    He is an Emeritus Professor of Computational Neurobiology in the Institute for Adaptive and Neural Computation and honorary staff in the University of Edinburgh's School of Informatics.

Career

  1. Since 1970University of EdinburghResearch Fellow, MRC Scientific Staff
  2. 1977–1984UK Research and InnovationTraining Fellow, Staff Member
  3. 1973–1979Max Planck Institute for Multidisciplinary Sciences

Education

  1. 1971University of EdinburghPhD

Most-cited works

  1. Non-Holographic Associative Memory1969 · Nature · 981 citationsWith Christopher Longuet-Higgins
  2. How patterned neural connections can be set up by self-organization1976 · Proceedings of the Royal Society B Biological Sciences · 822 citations
  3. An analogue approach to the travelling salesman problem using an elastic net method1987 · Nature · 797 citations
  4. Principles of Computational Modelling in Neuroscience2011 · Cambridge University Press eBooks · 318 citations
  5. Similarity-Based Extraction of Individual Networks from Gray Matter MRI Scans2011 · Cerebral Cortex · 309 citations

Sources and credits

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  1. David Willshaw homepages.inf.ed.ac.uk. Checked 19 October 2026.
  2. David Willshaw homepages.inf.ed.ac.uk. Checked 19 October 2026.
  3. Quantitative assessment of computational models for retinotopic map formation pmc.ncbi.nlm.nih.gov. Checked 19 October 2026.
  4. Principles of Computational Modelling in Neuroscience research.ed.ac.uk. Checked 19 October 2026.
  5. Principles of Computational Modelling in Neuroscience cambridge.org. Checked 19 October 2026.
  6. David Willshaw - University of Edinburgh Research Explorer research.ed.ac.uk. Checked 19 October 2026.