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Dr Geoffery Ericksson |
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Short Course in Computational Neuroscience (Feb 10-12, 2010) |
 Geoffrey J. Goodhill
Associate Professor BSc, MSc, PhD Contact: g.goodhill@uq.edu.au
Goodhill Lab
Research Officers Zac Pujic, PhD PhD Students
Clare Giacomantonio, BSC (Hons) Research Assistants Carmen Haines, BSc (Hons)
Above: 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 |
Associate Professor Geoffrey GoodhillComputational NeuroscienceRecent publications
Dr 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. Dr 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 Physical Sciences at the University of Queensland. Dr Goodhill is currently Editor-in-Chief of the journal "Network: Computation in Neural Systems".
Description of research area [top] Dr 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 the statistical structure of visual activity influences the development of maps in the mammalian visual system. The lab is also involved in collaborative projects investigating sensorimotor feedback and control, and mechanisms of spatial navigation in bees, rats and robots. PhD and Honours projects are available in all of these areas.
Current collaborators include [top] Frank Sengpiel, University of Cardiff Guillermina Lopez-Bendito, University of Alicante Kevin Burrage, University of Queensland 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) Techniques used in the lab [top]
Teaching [top] In the School of Physical Sciences Dr Goodhill currently teaches Mathematical Biology (Math3104) and Scientific Computing (Math2200).
Recent publications [top] 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 Hunt, J.J., Giacomantonio, C.E., Tang, H., Mortimer, D., Jaffer, S.,Vorobyov, V., Ericksson, G., Sengpiel, F. & Goodhill, G.J. (2009). Natural scene statistics and the structure of orientation maps in the visual cortex. Neuroimage, 47, 157-172. PDF Simpson, H, Mortimer, D. & Goodhill, G.J. (2009). Theoretical models of neural circuit development. Current Topics in Development Biology, 87, 1-51. Giacomantonio, C.E. & Goodhill, G.J. (2007). The effect of angioscotomas on map structure in primary visual cortex. Journal of Neuroscience, 27, 4935-4946.
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