Geoffrey J Goodhill

Summary

Affiliation: University of Queensland
Country: Australia

Publications

  1. pmc Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input
    Jonathan J Hunt
    Queensland Brain Institute, University of Queensland, St Lucia, Australia
    PLoS Comput Biol 9:e1003005. 2013
  2. pmc Statistical structure of lateral connections in the primary visual cortex
    Jonathan J Hunt
    Queensland Brain Institute and School of Mathematics and Physics, University of Queensland, St Lucia, QLD 4072, Australia
    Neural Syst Circuits 1:3. 2011
  3. ncbi The development of retinotectal maps: a review of models based on molecular gradients
    Geoffrey J Goodhill
    Queensland Brain Institute, Department of Mathematics, and Institute for Molecular Bioscience, University of Queensland, St Lucia, Australia
    Network 16:5-34. 2005
  4. ncbi Contributions of theoretical modeling to the understanding of neural map development
    Geoffrey J Goodhill
    Queensland Brain Institute, School of Physical Sciences and Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia
    Neuron 56:301-11. 2007
  5. doi Calcium and cAMP levels interact to determine attraction versus repulsion in axon guidance
    Elizabeth M Forbes
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    Neuron 74:490-503. 2012
  6. doi Cyclic nucleotide-dependent switching of mammalian axon guidance depends on gradient steepness
    Andrew W Thompson
    Queensland Brain Institute, The University of Queensland, St Lucia 4072, Queensland, Australia
    Mol Cell Neurosci 47:45-52. 2011
  7. doi The influence of restricted orientation rearing on map structure in primary visual cortex
    Clare E Giacomantonio
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    Neuroimage 52:875-83. 2010
  8. doi A dual compartment diffusion chamber for studying axonal chemotaxis in 3D collagen
    Zac Pujic
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    J Neurosci Methods 215:53-9. 2013
  9. doi Optimality and saturation in axonal chemotaxis
    Jiajia Yuan
    Queensland Brain Institute, University of Queensland, St Lucia, QLD 4072, Australia
    Neural Comput 25:833-53. 2013
  10. doi Sparse coding on the spot: spontaneous retinal waves suffice for orientation selectivity
    Jonathan J Hunt
    Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia
    Neural Comput 24:2422-33. 2012

Collaborators

Detail Information

Publications34

  1. pmc Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input
    Jonathan J Hunt
    Queensland Brain Institute, University of Queensland, St Lucia, Australia
    PLoS Comput Biol 9:e1003005. 2013
    ..Finally we used our models to design a novel stimulus that, if present during rearing, is predicted by the sparsity principle to lead robustly to radically abnormal receptive fields...
  2. pmc Statistical structure of lateral connections in the primary visual cortex
    Jonathan J Hunt
    Queensland Brain Institute and School of Mathematics and Physics, University of Queensland, St Lucia, QLD 4072, Australia
    Neural Syst Circuits 1:3. 2011
    ..abstract:..
  3. ncbi The development of retinotectal maps: a review of models based on molecular gradients
    Geoffrey J Goodhill
    Queensland Brain Institute, Department of Mathematics, and Institute for Molecular Bioscience, University of Queensland, St Lucia, Australia
    Network 16:5-34. 2005
    ....
  4. ncbi Contributions of theoretical modeling to the understanding of neural map development
    Geoffrey J Goodhill
    Queensland Brain Institute, School of Physical Sciences and Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia
    Neuron 56:301-11. 2007
    ..I review models based on both chemospecific and activity-dependent matching of inputs to targets, with a particular focus on map development in the optic tectum and primary visual cortex...
  5. doi Calcium and cAMP levels interact to determine attraction versus repulsion in axon guidance
    Elizabeth M Forbes
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    Neuron 74:490-503. 2012
    ....
  6. doi Cyclic nucleotide-dependent switching of mammalian axon guidance depends on gradient steepness
    Andrew W Thompson
    Queensland Brain Institute, The University of Queensland, St Lucia 4072, Queensland, Australia
    Mol Cell Neurosci 47:45-52. 2011
    ..These results suggest that there may be substantial differences in the way axons respond to gradient-based guidance cues depending on where they are within the gradient...
  7. doi The influence of restricted orientation rearing on map structure in primary visual cortex
    Clare E Giacomantonio
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    Neuroimage 52:875-83. 2010
    ....
  8. doi A dual compartment diffusion chamber for studying axonal chemotaxis in 3D collagen
    Zac Pujic
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    J Neurosci Methods 215:53-9. 2013
    ..We demonstrate the assay by showing robust chemoattraction of dorsal root ganglion neurites by gradients of nerve growth factor (NGF), and chemorepulsion of olfactory bulb neurites by gradients of Slit2...
  9. doi Optimality and saturation in axonal chemotaxis
    Jiajia Yuan
    Queensland Brain Institute, University of Queensland, St Lucia, QLD 4072, Australia
    Neural Comput 25:833-53. 2013
    ..Together these results illuminate the domain of validity of the Bayesian model and give further insight into the biological mechanisms of axonal chemotaxis...
  10. doi Sparse coding on the spot: spontaneous retinal waves suffice for orientation selectivity
    Jonathan J Hunt
    Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia
    Neural Comput 24:2422-33. 2012
    ....
  11. doi The response of dorsal root ganglion axons to nerve growth factor gradients depends on spinal level
    Irina Vetter
    The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
    J Neurotrauma 27:1379-86. 2010
    ....
  12. pmc Natural scene statistics and the structure of orientation maps in the visual cortex
    Jonathan J Hunt
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    Neuroimage 47:157-72. 2009
    ..These results suggest that these statistical biases of orientation maps arise primarily spontaneously, rather than being governed by either input statistics or genetic mechanisms...
  13. pmc Bayesian model predicts the response of axons to molecular gradients
    Duncan Mortimer
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4072, Australia
    Proc Natl Acad Sci U S A 106:10296-301. 2009
    ....
  14. doi Theoretical models of neural circuit development
    Hugh D Simpson
    Queensland Brain Institute, The University of Queensland, St Lucia, Australia
    Curr Top Dev Biol 87:1-51. 2009
    ..We show how theoretical approaches have substantially contributed to the advancement of developmental neuroscience, and discuss future directions for mathematical modeling in the field...
  15. doi A simple model can unify a broad range of phenomena in retinotectal map development
    Hugh D Simpson
    Queensland Brain Institute, The University of Queensland, Brisbane, Australia
    Biol Cybern 104:9-29. 2011
    ....
  16. pmc Axon guidance by growth-rate modulation
    Duncan Mortimer
    Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia
    Proc Natl Acad Sci U S A 107:5202-7. 2010
    ..These results suggest that biased axon turning is not the only method by which guidance can occur...
  17. doi A quantitative analysis of branching, growth cone turning, and directed growth in zebrafish retinotectal axon guidance
    Hugh D Simpson
    Queensland Brain Institute, The University of Queensland, Brisbane QLD 4072, Australia
    J Comp Neurol 521:1409-29. 2013
    ..These data suggest that the guidance strategies used between fish and mammals may be less distinct than previously thought...
  18. doi Bayes-optimal chemotaxis
    Duncan Mortimer
    Queensland Brain Institute, University of Queensland, St Lucia QLD 4072, Australia
    Neural Comput 23:336-73. 2011
    ..Together our results provide closed-form predictions for variations in chemotactic performance over a wide range of gradient conditions...
  19. ncbi The effect of angioscotomas on map structure in primary visual cortex
    Clare E Giacomantonio
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
    J Neurosci 27:4935-46. 2007
    ..Furthermore, the models predict that angioscotomas could compete for control of local column layout with other influences such as cortical shape but that they have a small effect on the structure of orientation preference maps...
  20. doi Analyzing neurite outgrowth from explants by fitting ellipses
    Carmen Haines
    The Queensland Brain Institute, The University of Queensland, St Lucia 4072, Queensland, Australia
    J Neurosci Methods 187:52-8. 2010
    ..Together these results show that ellipse-fitting of explant data can give new insights into the biological processes underlying neurite guidance by molecular cues...
  21. ncbi Stripe-rearing changes multiple aspects of the structure of primary visual cortex
    Nicholas J Hughes
    Queensland Brain Institute, The University of Queensland, St Lucia, Queensland 4072, Australia
    Neuroimage 95:305-19. 2014
    ..Overall this work expands our understanding of the effects of the environment on brain structure. ..
  22. doi The combinatorics of neurite self-avoidance
    Elizabeth M Forbes
    Queensland Brain Institute, University of Queensland, St Lucia, QLD 4072, Australia
    Neural Comput 23:2746-69. 2011
    ..Here we present closed-form solutions for the general case. These reveal the relationships among the key variables and how these constrain possible biological scenarios...
  23. ncbi Assays for eukaryotic cell chemotaxis
    Zac Pujic
    Queensland Brain Institute, The University of Queensland, St Lucia 4072, Queensland, Australia
    Comb Chem High Throughput Screen 12:580-8. 2009
    ..We describe how each method works, its strengths and limitations, and provide some information about the kinds of cells that have been studied with each assay...
  24. ncbi Netrin-DCC Signaling Regulates Corpus Callosum Formation Through Attraction of Pioneering Axons and by Modulating Slit2-Mediated Repulsion
    Thomas Fothergill
    The University of Queensland, Queensland Brain Institute, Brisbane, QLD, Australia
    Cereb Cortex 24:1138-51. 2014
    ..These results provide the first evidence for how callosal axons integrate multiple guidance cues to navigate the midline. ..
  25. doi Randomly oriented edge arrangements dominate naturalistic arrangements in binocular rivalry
    Jonathan J Hunt
    Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia
    Vision Res 64:49-55. 2012
    ..Surprisingly, we found that fields with randomly oriented edges consistently dominated over the more ordered arrangements. These results suggest that visual scene entropy may be a key variable in early perceptual saliency...
  26. ncbi A computational model of the effect of gene misexpression on the development of cortical areas
    Clare E Giacomantonio
    Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
    Biol Cybern 108:203-21. 2014
    ..This demonstrates that existing data cannot uniquely specify the network. We conclude by suggesting experiments necessary to constrain the model and help identify and understand the true structure of this regulatory network. ..
  27. ncbi Balanced interhemispheric cortical activity is required for correct targeting of the corpus callosum
    Rodrigo Suárez
    Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
    Neuron 82:1289-98. 2014
    ..Our findings reveal a principle governing axon targeting, where spatially balanced activity between regions is required to establish their appropriate connectivity. ..
  28. doi Analysis of the growth cone turning assay for studying axon guidance
    Zac Pujic
    The Queensland Brain Institute, The University of Queensland, St Lucia 4072, Queensland, Australia
    J Neurosci Methods 170:220-8. 2008
    ..These results suggest that direct observation of the gradient of the particular guidance factor under consideration may be necessary to quantitatively determine the signal to which the growth cone is responding...
  29. ncbi Influence of lateral connections on the structure of cortical maps
    Miguel A Carreira-Perpinan
    Department of Neuroscience, Georgetown University Medical Center, 3900 Reservoir Road NW, Washington, DC 20007, USA
    J Neurophysiol 92:2947-59. 2004
    ..This strongly suggests that local lateral connections in visual cortex oscillate only once and have the form of a Mexican hat...
  30. ncbi A computational model for the development of multiple maps in primary visual cortex
    Miguel A Carreira-Perpinan
    Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA
    Cereb Cortex 15:1222-33. 2005
    ..These results provide strong support for the hypothesis that cortical representations attempt to optimize a trade-off between coverage and continuity...
  31. ncbi Predicting axonal response to molecular gradients with a computational model of filopodial dynamics
    Geoffrey J Goodhill
    Department of Neuroscience, Georgetown University Medical Center, Washington, D C 20007, USA
    Neural Comput 16:2221-43. 2004
    ....
  32. ncbi A theoretical model of axon guidance by the Robo code
    Geoffrey J Goodhill
    Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA
    Neural Comput 15:549-64. 2003
    ....
  33. ncbi Are visual cortex maps optimized for coverage?
    Miguel A Carreira-Perpinan
    Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA
    Neural Comput 14:1545-60. 2002
    ..In this article, we argue that such perturbation results provide only weak evidence in favor of the optimization hypothesis...