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

Links

Lab Members

Lab Home Page

Short biography

Research directions

Current collaborations

Selected publications

 

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. He is currently an Associate Editor of Neural Computation, and on the Editorial Board of Nature Scientific Reports.

Research directions

Professor Goodhill's lab is interested in how brains process information, particularly during development. This includes how growing nerve fibres use molecular cues to make guidance decisions, how map-like representations of visual inputs form in the optic tectum and visual cortex, and how these maps code sensory information. The lab is addressing these questions using a combination of experimental, mathematical and computational techniques. Members of the lab come from diverse backgrounds including biology, mathematics, physics and computer science.

Current collaborations

  • Frank Sengpiel-  University of Cardiff
  • Linda Richards - The University of Queensland
  • Michael Ibbotson - ANU
  • Peter Dayan - University College London
  • Ethan Scott - The University of Queensland

Selected publications

Click here for a complete list of publications

Suarez, R., Fenlon, L.R., Marek, R., Avitan, L., Sah, P., Goodhill, G.J. & Richards, L.J. (2014). Balanced interhemispheric cortical activity is required for correct targeting of the corpus callosum. Neuron, 82, 1289-1298. PDF

Sutherland, D.J., Pujic, Z. & Goodhill, G.J. (2014). Calcium signaling in axon guidance. Trends in Neurosciences, corrected proof online 23 June 2014. PDF

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