Professor Geoffrey Goodhill - Computational Neuroscience

Professor Geoffrey Goodhill

 Contact Information

  g.goodhill@uq.edu.au
  Building: QBI Building #79
  Room: 424
  Tel: +61 7 334 66431

 Mailing Address

  Queensland Brain Institute
  The University of Queensland
  Brisbane, 4072
  Queensland,
  Australia

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 Lab Members

 Lab Home Page

Short biography

Research directions

Current collaborations

Selected recent publications (click here for a complete list)

Short biography

Professor Goodhill did a Joint Honours BSc in Mathematics and Physics at Bristol University (UK), followed by an MSc in Artificial Intelligence at Edinburgh University and a PhD in Cognitive Science at Sussex University. Following a postdoc at Edinburgh University he moved to the USA in 1994, where he did further postdoctoral study in Computational Neuroscience at Baylor College of Medicine and the Salk Institute. Professor Goodhill formed his own lab at Georgetown University in 1996, where he was awarded tenure in the Department of Neuroscience in 2001. In 2005 he moved to a joint appointment between the Queensland Brain Institute and the School of Mathematical and Physical Sciences at the University of Queensland.

From 2005-2011 Professor Goodhill was Editor-in-Chief of the journal "Network: Computation in Neural Systems".

Research directions

Professor Goodhill's lab uses theoretical, computational and experimental techniques to investigate how biological nervous systems become wired up during development. Current work is primarily focused on how growing axons find their targets by detecting molecular gradients, and how topographic maps form in the zebrafish optic tectum and the mammalian visual cortex. PhD and Honours projects are available in all of these areas.

Current collaborations

  • Frank Sengpiel, University of Cardiff
  • Guillermina Lopez-Bendito, University of Alicante
  • Linda Richards, University of Queensland
  • Michael Ibbotson, ANU
  • Ole Paulsen, University of Oxford
  • Peter Dayan, University College London
  • Tomomi Shimogori, Riken BSI
  • Ethan Scott (UQ)

Selected recent publications (click here for a complete list)

Forbes, E.M., Thompson, A.W., Yuan, J, & Goodhill, G.J. (2012). Calcium and cAMP levels interact to determine attraction versus repulsion in axon guidance. Neuron, 74, 490-503. PDF SI

Mortimer D, Pujic Z, Vaughan T, Thompson AW, Feldner J, Vetter I, Pujic Z, & Goodhill GJ (2010). Axon guidance by growth rate modulation. Proc. Natl. Acad. Sci. USA, 107, 5202-5207. PDF

Mortimer D, Feldner J, Vaughan T, Vetter I, Pujic Z, Rosoff WJ, Burrage K, Dayan P, Richards LJ, Goodhill GJ (2009). A Bayesian model predicts the response of axons to molecular gradients. Proc. Natl. Acad. Sci. USA, 106, 10296-10301. PDF

Mortimer, D., Fothergill, T., Pujic, Z., Richards, L.J. & Goodhill, G.J. (2008). Growth Cone Chemotaxis. Trends in Neurosciences, 31, 90-98. PDF

Goodhill, G.J. (2007). Contributions of theoretical modelling to the understanding of neural map development. Neuron, 56, 301-311. PDF

Giacomantonio, C.E. & Goodhill, G.J. (2007). The effect of angioscotomas on map structure in primary visual cortex. Journal of Neuroscience, 27, 4935-4946. PDF

Xu, J., Rosoff, W.J., Urbach, J,S. & Goodhill, G.J. (2005). Adaptation is not required to explain the long-term response of axons to molecular gradients. Development, 132, 4545-4552. PDF

Rosoff, W.J., Urbach, J.S., Esrick, M., McAllister, R.G. Richards, L.J. & Goodhill, G.J. (2004). A new chemotaxis assay shows the extreme sensitivity of axons to molecular gradients. Nature Neuroscience, 7, 678-682. PDF

 

 

 

 

 

 

 

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