Professor Goodhill’s laboratory is interested in how brains process information, particularly during development.
A current area of focus is the development of neural coding, i.e. how patterns of neural activity come to represent information about the world as an organism develops. To study this, the lab is using the zebrafish as a model system. Zebrafish larvae display complex behaviours from an early age, and are transparent allowing the activity of large numbers of neurons to be simultaneously recorded.
In conjunction with these experiments, we are developing new statistical tools for analysing these data, and new mathematical/computational models to help test hypotheses about the biological mechanisms that drive these changes over development.
Group leader
Professor Geoffrey Goodhill
NHMRC Leadership Fellow, Queensland Brain Institute
Goodhill lab website
+61 7 334 66431
g.goodhill@uq.edu.au
UQ Researcher Profile
Lattice light sheet microscopy for imaging biology in real space and time
(2017) ARC Linkage Infrastructure, Equipment and Facilities
How are axons guided to their targets in the developing nervous system?
(2016–2018) NHMRC Project Grant
Computational analysis of the influence of growth cone shape dynamics on axon guidance
(2015–2017) NHMRC Project Grant
The plasticity of neural codes
(2015–2017) ARC Discovery Projects
Journals
2018
Moelter, J., Avitan, L. & Goodhill, G.J. (2018). Detecting neural assemblies in calcium imaging data. BMC Biology, in press.
Triplett, M.A., Avitan, L. & Goodhill, G.J. (2018). Emergence of spontaneous assembly activity in developing neural networks without afferent input. PLoS Computational Biology, 14:e1006421. PDF
Goodhill, G.J. (2018). Theoretical models of neural development. iScience, PDF
Bicknell, B.A., Pujic, Z., Feldner, J., Vetter, I. & Goodhill, G.J. (2018). Chemotactic responses of growing neurites to precisely controlled gradients of nerve growth factor. Scientific Data, 5:180183 PDF
Avitan, L. & Goodhill, G.J. (2018). Code under construction: neural coding over development. Trends in Neurosciences, 41, 599-609. PDF
Bicknell, B.A., Pujic, Z., Dayan, P. & Goodhill, G.J. (2018). Control of neurite growth and guidance by an inhibitory cell-body signal. PLoS Computational Biology, 14, e1006218. PDF
Marachlian, E., Avitan, L., Goodhill, G.J & Sumbre, G. (2018). Principles of functional circuit connectivity: insights from spontaneous activity in the zebrafish optic tectum. Frontiers in Neural Circuits, 12:46. PDF
Padmanabhan, P. & Goodhill, G.J. (2018). Axon growth regulation by a bistable molecular switch. Proceedings of the Royal Society Series B, 285:20172618. PDF
2017
Avitan, L., Pujic, Z., Moelter, J., Van De Poll, M., Sun, B., Teng, H., Amor, R., Scott, E.K. & Goodhill, G.J. (2017). Spontaneous activity in the zebrafish tectum reorganizes over development and is influenced by visual experience. Current Biology, 27, 2407-2419. PDF
Hughes, N.J. & Goodhill, G.J. (2017). Multiple cortical feature maps in a joint Gaussian process prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1918-1928. PDF
Abbas, F., Triplett, M.A., Goodhill, G.J. & Meyer, M.P. (2017). A three-layer network model of direction selective circuits in the optic tectum.Frontiers in Neural Circuits, 11:88. PDF
Joensuu M., Martinez-Marmol, R., Padmanabhan, P., Glass, N.R., Durisic, N., Pelekanos, M., Mollazade, M., Balistreri, G., Amor, R., Cooper-White, J.J., Goodhill, G.J. & Meunier, F. (2017). Visualizing endocytic recycling and trafficking in live neurons by subdiffractional tracking of internalized molecules. Nature Protocols, 12, 2590-2622. PDF
Bademosi, A.T., Lauwers, E., Padmanabhan, P., Odierna, L., Chai, Y.J., Papadopulos, A., Goodhill, G.J., Verstreken, P., van Swinderen, B. and Meunier, F.A. (2017). In vivo single molecule imaging of syntaxin1A reveals polyphosphoinositide- and activity-dependent reversible trapping in presynaptic nanoclusters. Nature Communications, 8:13660. PDF
2016
Bicknell, B.A. & Goodhill, G.J. (2016). The emergence of ion channel modal gating from independent subunit kinetics. Proc. Natl. Acad. Sci. USA, 113, E5288-97. PDF
Cloherty, S.J., Hughes, N.J., Hietanen, M.A., Bhagavatula, P.S., Goodhill, G.J. & Ibbotson, M.R. (2016). Sensory experience modifies feature map relationships in visual cortex. eLife, 5:e13911. PDF
Avitan, L., Pujic, Z., Hughes, N.J., Scott, E.K. & Goodhill, G.J. (2016). Limitations of neural map topography for decoding spatial information. Journal of Neuroscience, 36, 5385-5396. PDF
Goodhill, G.J. (2016). Can molecular gradients wire the brain? Trends in Neurosciences, 39, 202-211. PDF
Chalmers, K., Kita, E.M., Scott, E.K. & Goodhill, G.J. (2016). Quantitative analysis of axonal branch dynamics in the developing nervous system. PLoS Computational Biology, 12:e1004813. PDF
Pujic, Z., Nguyen, H., Glass, N., Cooper-White, J. & Goodhill, G.J. (2016). Axon guidance studies using a microfluidics-based chemotropic gradient generator. Methods in Molecular Biology, 1407, 273-285. PDF
Joensuu, M., Padmanabhan, P., Durisic, N., Bademosi, A.T.D., Cooper-Williams, E., Morrow, I.C., Harper, C.B., Jung, W., Parton, R.G., Goodhill, G.J., Papadopulos, A. & Meunier, F.A. (2016). Subdiffractional tracking of internalized molecules reveals heterogeneous motion states of synaptic vesicles. Journal of Cell Biology, 215, 277-292. PDF
2015
Bicknell, B.A., Dayan, P. & Goodhill, G.J. (2015). The limits of chemosensation vary across dimensions. Nature Communications, 6, 7468. PDF
Goodhill, G.J., Faville, R.A., Sutherland, D.J., Bicknell, B.A., Thompson, A.W., Pujic, Z., Sun, B., Kita, E.M. & Scott, E.K. (2015). The dynamics of growth cone morphology. BMC Biology, 13, 10. PDF
Kita, E.M., Scott, E.K. & Goodhill, G.J. (2015). Topographic wiring of the retinotectal connection in zebrafish. Developmental Neurobiology, 75, 542-556. PDF
Kita, E.M., Scott, E.K. & Goodhill, G.J. (2015). The influence of activity on axon pathfinding in the optic tectum. Developmental Neurobiology, 75, 608-620. PDF
Hughes, N.J. & Goodhill, G.J. (2015). Optimizing the representation of orientation preference maps in visual cortex. Neural Computation, 27, 32-41. PDF Code
Sutherland, D.J. & Goodhill, G.J. (2015). The interdependent roles of calcium and cAMP in axon guidance. Developmental Neurobiology, 75, 402-410. PDF
Faville, R.J., Kottler, B., Goodhill, G.J., Shaw, P. & van Swinderen, B. (2015). How deeply does your mutant sleep? Probing arousal to better understand sleep defects in Drosophila. Scientific Reports,5, 8454. PDF
2014
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, 37, 424–432. PDF
Fothergill, T., Donahoo, A-L.S., Douglass, A., Zalucki, O., Yuan, J., Shu, T., Goodhill, G.J. & Richards, L.J. (2014). Netrin-DCC signaling regulates corpus callosum formation through attraction of pioneering axons and by modulating Slit2-mediated repulsion. Cerebral Cortex, 24, 1138–1151. PDF
Hughes, N.J., Hunt, J.J., Cloherty, S.L., Ibbotson, M.R., Sengpiel, F. & Goodhill, G.J. (2014). Stripe-rearing changes multiple aspects of the structure of primary visual cortex. Neuroimage, 95, 305-319. PDF
Nguyen, H., Dayan, P. & Goodhill, G.J. (2014). How receptor diffusion influences gradient sensing. Journal of the Royal Society Interface, 12, 20141097 PDF
Nguyen, H., Dayan, P. & Goodhill, G.J. (2014). The influence of receptor positioning on chemotactic information. Journal of Theoretical Biology, 360, 95-101. PDF
Giacomantonio, C.E. & Goodhill, G.J. (2014). A computational model of the effect of gene misexpression on the development of cortical areas. Biological Cybernetics, 108, 203-221. PDF
Davis, F.M., Azimi, I. Faville, R.A., Peters, A.A., Goodhill, G.J., Thompson, E.W., Roberts-Thomson, S.J. & Monteith, G.R. (2014). Induction of epithelial-mesenchymal transition (EMT) in breast cancer cells is calcium signal dependent. Oncogene, 33, 2307-2316. PDF
2013
Hunt, J.J., Dayan, P. & Goodhill, G.J. (2013). Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input. PLoS Computational Biology, 9, e1003005. PDF
Simpson, H.D., Kita, E.M., Scott, E.K. & Goodhill, G.J. (2013). A quantitative analysis of branching, growth cone turning and directed growth in zebrafish retinotectal axon guidance. Journal of Comparative Neurology, 521, 1409-1429. PDF
Yuan, J., Chan, S., Mortimer, D., Nguyen, H. & Goodhill, G.J. (2013). Optimality and saturation in axonal chemotaxis. Neural Computation, 25, 833-853 (2013). PDF
Pujic, Z. & Goodhill, G.J. (2013). A dual compartment diffusion chamber for studying axonal chemotaxis in 3D collagen. Journal of Neuroscience Methods, 215, 53-59. PDF
2012
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
Hunt, J.J., Mattingley, J.B. & Goodhill, G.J. (2012). Randomly oriented edge arrangements dominate naturalistic arrangements in binocular rivalry. Vision Research, 64, 49-55. PDF
Hunt, J.J., Ibbotson, M.R. & Goodhill, G.J. (2012). Sparse coding on the spot: spontaneous retinal waves suffice for orientation selectivity.Neural Computation, 24, 2422-2433. PDF
2011
Forbes, E.M., Hunt, J.J. & Goodhill, G.J. (2011). The combinatorics of neurite self-avoidance. Neural Computation, 23, 2746-2769. PDF
Thompson, A.W., Pujic, Z., Richards, L.J. & Goodhill, G.J. (2011). Cyclic nucleotide-dependent switching of mammalian axon guidance depends on gradient steepness. Molecular and Cellular Neuroscience, 47, 45-52. PDF
Simpson, H.D. & Goodhill, G.J. (2011). A simple model can unify a broad range of phenomena in retinotectal map development. Biological Cybernetics, 104, 9-29. PDF F1000 review
Simpson, H.D., Giacomantonio, C.E. & Goodhill, G.J. (2011). Computational modeling of neuronal map development: insights into disease.Future Neurology, 6, 339-349. PDF
Hunt, J.J., Bosking, W.H. & Goodhill, G.J. (2011). Statistical structure of lateral connections in the primary visual cortex. Neural Systems & Circuits, 1:3. PDF
Mortimer, D., Dayan, P., Burrage, K. & Goodhill, G.J. (2011). Bayes-optimal chemotaxis. Neural Computation, 23, 336-373. PDF
2010
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 SI
Giacomantonio, C.E. & Goodhill, G.J. (2010). A Boolean model of the gene regulatory network underlying mammalian cortical area development. PLoS Computational Biology, 6: e1000936. PDF
Giacomantonio, C.E., Ibbotson, M.R. & Goodhill, G.J. (2010). The influence of restricted orientation on map structure in primary visual cortex.Neuroimage, 52, 875-883. PDF
Mortimer, D., Dayan, P., Burrage, K. & Goodhill, G.J. (2010). Optimizing chemotaxis by measuring unbound-bound transitions. Physica D, 239, 477-484. PDF F1000 review
Vetter, I., Pujic, Z. & Goodhill, G.J. (2010). The response of dorsal root ganglion axons to nerve growth factor gradients depends on spinal level.Journal of Neurotrauma, 27, 1379-1386. PDF
Haines, C.E. & Goodhill, G.J. (2010). Analyzing neurite outgrowth from explants by fitting ellipses. Journal of Neuroscience Methods, 187, 52-58. PDF
2009
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 SI
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
Pujic, Z., Mortimer, D., Feldner, J. & Goodhill, G.J. (2009). Assays for Eukaryotic Cell Chemotaxis. Combinatorial Chemistry and High-throughput Screening, 12, 580-588. PDF
Simpson, H, Mortimer, D. & Goodhill, G.J. (2009). Theoretical models of neural circuit development. Current Topics in Development Biology, 87, 1-51. PDF
Rosoff, W.J., McAllister, R.G., Goodhill, G.J. & Urbach, J.S. (2009). Quantitative Studies of Neuronal Chemotaxis in 3D. Methods in Molecular Biology, 571, 239-254. PDF
2008
Mortimer, D., Fothergill, T., Pujic, Z., Richards, L.J. & Goodhill, G.J. (2008). Growth Cone Chemotaxis. Trends in Neurosciences, 31, 90-98.PDF
Pujic, Z., Giacomantonio, C.E., Unni, D., Rosoff, W.J. & Goodhill, G.J. (2008). Analysis of the growth cone turning assay for studying axon guidance. Journal of Neuroscience Methods, 170, 220-228. PDF
2007
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
NOTE: In 2005 my lab relocated from Georgetown University to the University of Queensland.
2005
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
Carreira-Perpinan, M.A., Lister, R. & Goodhill, G.J. (2005). A computational model for the development of multiple maps in primary visual cortex. Cerebral Cortex, 15, 1222-1233. PDF
Goodhill, G.J. & Xu, J. (2005). The development of retinotectal maps: a review of models based on molecular gradients. Network, 16, 5-34. PDF
Rosoff, W.J, McAllister, R.G., Esrick, M.A., Goodhill, G.J. & Urbach, J.S. (2005). Generating controlled molecular gradients in 3D gels. Biotechnology and Bioengineering, 91, 754-759. PDF
2004
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 News and Views F1000 reviews
NOTE: An Erratum correcting production errors in Fig 3 was published in the July issue. The PDF file above now includes this Erratum. The original RGB images for Fig 3 are available here: fig3d.tif fig3e.tif fig3f.tif fig3g.tif.
Goodhill, G.J., Gu, M. & Urbach, J.S. (2004). Predicting axonal response to molecular gradients with a computational model of filopodial dynamics. Neural Computation, 16, 2221-2243. PDF
Carreira-Perpinan, M.A. & Goodhill, G.J. (2004). The influence of lateral connections on the structure of cortical maps. Journal of Neurophysiology, 92, 2947-2959. PDF
2003 and earlier
Goodhill, G.J. (2003). A theoretical model of axon guidance by the Robo code. Neural Computation, 15, 549-564. PDF F1000 review
Carreira-Perpinan, M.A. & Goodhill, G.J. (2002). Are visual cortex maps optimized for coverage? Neural Computation, 14, 1545-1560. PDF
Haese, K. & Goodhill, G.J. (2001). Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps. Neural Computation , 13, 595-619. PDF
Cimponeriu, A. & Goodhill, G.J. (2000). Dynamics of cortical map development in the elastic net model. Neurocomputing, 32, 83-90. PDF
Goodhill, G.J. & Cimponeriu, A. (2000). Analysis of the elastic net model applied to the formation of ocular dominance and orientation columns. Network, 11, 153-168. PDF
Goodhill, G.J. (2000). Dating behavior of the retinal ganglion cell. Neuron, 25, 501-503. PDF
Goodhill, G.J. & Richards, L.J. (1999). Retinotectal maps: molecules, models, and misplaced data. Trends in Neurosciences, 22, 529-534. PDF
Goodhill, G.J. & Urbach, J.S. (1999). Theoretical analysis of gradient detection by growth cones. Journal of Neurobiology, 41, 230-241. PDF
Urbach, J.S. & Goodhill, G.J. (1999). Limitations on detection of gradients of diffusible chemicals by axons. Neurocomputing, 26-27, 39-43. PDF
Goodhill, G.J. (1998). The influence of neural activity and intracortical connections on the periodicity of ocular dominance stripes. Network, 9, 419-432. PDF
Goodhill, G.J. (1998). Mathematical guidance for axons. Trends in Neurosciences, 21, 226-231. PDF.
Goodhill, G. J. & Baier, H. (1998). Axon guidance: stretching gradients to the limit. Neural Computation, 10, 521-527. PDF.
Goodhill, G.J. (1997). Stimulating issues in cortical map development. Trends in Neurosciences, 20, 375-376. PDF.
Goodhill, G.J. & Sejnowski, T. J. (1997). A unifying objective function for topographic mappings. Neural Computation, 9, 1291-1304. PDF
Goodhill, G.J. (1997). Diffusion in axon guidance. European Journal of Neuroscience, 9, 1414 - 1421. PDF
Goodhill, G.J., Bates, K.R. & Montague, P.R. (1997). Influences on the global structure of cortical maps. Proceedings of the Royal Society, Series B, 264, 649-655. PDF
Goodhill, G.J. & Lowel, S. (1995). Theory meets experiment: correlated neural activity helps determine ocular dominance column periodicity.Trends in Neurosciences, 18, 437-439. PDF
Goodhill, G.J., Simmen, M., & Willshaw, D.J. (1995). An evaluation of the use of Multidimensional Scaling for understanding brain connectivity. Philosophical Transactions of the Royal Society, Series B, 348, 265-280. PDF
Simmen, M., Goodhill, G.J. & Willshaw, D.J. (1994). Scaling and brain connectivity. Nature, 369, 448-450. PDF
Goodhill, G.J. & Willshaw, D.J. (1994). Elastic net model of ocular dominance: Overall stripe pattern and monocular deprivation. Neural Computation, 6, 615-621. PDF
Goodhill, G.J. & Barrow, H.G. (1994). The role of weight normalization in competitive learning. Neural Computation, 6, 255-269. PDF
Goodhill, G.J. (1993). Topography and ocular dominance: a model exploring positive correlations. Biological Cybernetics, 69, 109-118. PDF
Goodhill, G.J. & Willshaw, D.J. (1990). Application of the elastic net algorithm to the formation of ocular dominance stripes. Network, 1, 41-59.PDF
Encyclopedia Articles and Book Chapters
Goodhill, G.J. (2013). Cortical maps, intrinsic processes of development. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: SpringerReference (www.springerreference.com). Springer-Verlag Berlin Heidelberg. Goodhill, G.J. (2013). Axonal growth and guidance. Scholarpedia, 8(10):1663. Link to article
Mortimer, D., Simpson, H.D. & Goodhill, G.J. (2012). Axonal growth and targeting. In: Le Novere, N (ed.) Computational Systems Neurobiology, Springer. PDF
Mortimer, D. & Goodhill, G.J. (2009). Axonal pathfinding. In: Squire LR (ed.) Encyclopedia of Neuroscience, 1, 1133-1138. Oxford: Academic Press. PDF
Goodhill, G.J. & Urbach, J.S. (2003). Axon guidance and gradient detection by growth cones. In ``Modeling Neural Development'', ed. Arjen Van Ooyen, MIT Press, 95-109.
Goodhill, G.J. (2002). Axonal path finding, in ``The Handbook of Brain Theory and Neural Networks'', 2nd edition, ed. Michael Arbib, MIT Press, 140-143.
Goodhill, G.J. (2002). Development of retinotectal maps, in ``The Handbook of Brain Theory and Neural Networks'', 2nd edition, ed. Michael Arbib, MIT Press, 335-339.
Goodhill, G.J. (2002). Neural development: mechanisms and models. International Encyclopedia of the Social and Behavioral Sciences, Elsevier, 10522-10526. PDF
Goodhill, G.J. (2002). Models of neural development. Encyclopedia of Cognitive Science, Macmillan, 3, 261-267. PDF
Goodhill, G.J. & Carreira-Perpinan, M.A. (2002). Cortical columns. Encyclopedia of Cognitive Science, Macmillan, 1, 845-851. PDF
Carreira-Perpinan, M.A. & Goodhill, G.J. (2002). Development of columnar structure in primary visual cortex. In ``Computational Neuroanatomy: Methods and Principles'', ed. Georgio Ascoli, Humana Press, 337-357. Zamora-Ramos, C. & Goodhill, G.J. (1994). A neural computation: spatial to temporal transformation. In Information Processing Underlying Gaze Control, eds. J.M. Delgado-Garcia, E. Godaux and P.-P. Vidal, 125-137, Pergamon.
Conference proceedings
Huang, J.Y., Hughes, N.J. & Goodhill, G.J. (2016). Segmenting neuronal growth cones using deep convolutional neural networks. 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD, 2016, pp. 1-7. PDF
Carreira-Perpinan, M.A., Dayan, P. & Goodhill, G.J. (2005). Differential priors for elastic nets. M. Gallagher, J. Hogan, F. Maire (Eds.): IDEAL 2005, Lecture Notes in Computer Science 3578, 335-342, 2005. PDF
Goodhill, G.J. (1998). A mathematical model of axon guidance by diffusible factors. Advances in Neural Information Processing Systems, 10, M.I. Jordan, M.J. Kearns & S.A. Solla, eds, MIT Press, 159-165. PDF
Goodhill, G.J. (1998). Gradients for retinotectal mapping. Advances in Neural Information Processing Systems, 10, M.I. Jordan, M.J. Kearns & S.A. Solla, eds, MIT Press, 152-158. PDF
Goodhill, G.J. and Sejnowski, T.J. (1997). Objective functions for topography: a comparison of optimal maps. In Proceedings of the Fourth Neural Computation and Psychology Workshop: Connectionist Representations, eds. John A. Bullinaria, David G. Glasspool & George Houghton. London: Springer-Verlag. PDF
Goodhill, G.J. and Sejnowski, T.J. (1996). Quantifying neighbourhood preservation in topographic mappings. Proceedings of the 3rd Joint Symposium on Neural Computation, University of California, San Diego and California Institute of Technology, 6, Pasadena, CA: California Institute of Technology, 61-82. Postscript.
Goodhill, G. J., Finch, S. and Sejnowski, T. J. (1996). Optimizing cortical mappings. Advances in Neural Information Processing Systems, 8, eds. David S. Touretzky, Michael C. Mozer and Michael E. Hasselmo, MIT Press: Cambridge, MA, 330-336. Postscript.
Goodhill, G. J., Finch, S. and Sejnowski, T. J. (1995). A unifying measure for neighbourhood preservation in topographic mappings,Proceedings of the 2nd Joint Symposium on Neural Computation, University of California, San Diego and California Institute of Technology, 5, Institute for Neural Computation, La Jolla, CA, 191-202. Postscript.
Aguilar-Chongtay, R., Goodhill, G.J. & Hayes, G. (1993). Exploracion empirica de un modelo de desarrollo de columnas de dominancia ocular.Memorias de Reunion Nacional de Inteligencia Artificial, Mexico, 1993.
Goodhill, G.J. (1993). Topography and ocular dominance with positive correlations. Advances in Neural Information Processing Systems, 5, eds. C.L. Giles, S.J. Hanson and J.D. Cowan, Morgan Kaufmann, San Mateo, CA (1993), 985-992. Postscript.
Dayan, P.S. & Goodhill, G.J. (1992) Perturbing Hebbian rules. Advances in Neural Information Processing Systems, 4, 19-26, eds. J.E. Moody, S.J. Hanson and R.P. Lippman, Morgan Kaufmann, San Mateo, CA. PDF.
Goodhill, G.J. (1991). Topography and ocular dominance can arise from distributed patterns of activity. International Joint Conference on Neural Networks, Seattle, July 1991, II, 623-627.
Goodhill, G.J. (1990). The development of topography and ocular dominance. In Touretzky, D.S., Elman, J.L., Sejnowski, T.J. & Hinton, G.E. (eds.) Proceedings of the 1990 Connectionist Models Summer School, 338-349, San Mateo, CA: Morgan Kaufman.
Book Reviews
Chitnis, A.B. & Goodhill, G.J. (2001). Review of "Signs of Life-How Complexity Pervades Biology" By R. Sole & B. Goodwin, Basic Books, 2001. Cell, 105, 328-329. PDF
Richards, L.J. & Goodhill, G.J. (2001). Review of ``Mechanisms of Cortical Development'' by D.J. Price & D.J. Willshaw, Oxford, 2000. Nature Neuroscience, 4, 13. PDF
Goodhill, G.J. (1998). Review of ``Neural Organization: Structure, Function and Dynamics'' by M.A. Arbib, P. Erdi & J. Szentagothai, MIT Press, 1998. Neuron, 20, 833-834. PDF
Goodhill, G.J. (1996). Review of ``How we learn; how we remember: towards an understanding of brain and neural systems. Selected papers of Leon N. Cooper'', World Scientific Publishing Co Ltd, 1995. Journal of Chemical Neuroanatomy, 11, 284-285.
Technical Reports and arXiv
Carreira-Perpinan, M.A. & Goodhill, G.J. (2003/2011). Generalized elastic nets. arXiv:1108.2840. PDF.
Goodhill, G. J., Finch, S. and Sejnowski, T. J. (1995). Quantifying neighbourhood preservation in topographic mappings. Institute for Neural Computation Technical Report Series, No. INC-9505, November 1995. Postscript.
Goodhill, G.J., Simmen, M., & Willshaw, D.J. (1994). An evaluation of the use of Multidimensional Scaling for understanding brain connectivity. Edinburgh University Centre for Cognitive Science Research Paper EUCCS / RP-63. Postscript.
Goodhill, G.J. (1992). Correlations, Competition and Optimality: Modelling the Development of Topography and Ocular Dominance. Cognitive Science Research Paper CSRP 226, University of Sussex. (This is based on my PhD thesis). PDF
- Peter Dayan - University College London
- Frank Sengpiel- University of Cardiff
- Michael Ibbotson - Melbourne University
- Linda Richards - The University of Queensland
- Ethan Scott - The University of Queensland
- Fred Meunier - The University of Queensland
- Markus Barth - The University of Queensland
Prospective candidates should have a strong background in either neuroscience or maths/physics/engineering. Some potential PhD projects include the following (please read our recent papers for more details):
Project 1: Using fluorescent calcium indicators to visualise how neural activity develops in the zebrafish brain.
Project 2: Using a variety of mathematical/statistical approaches to analyse and model these data.
Project 3: Computational modelling of how nerve fibres are guided to their targets during neural development.
Project 4: Computational modelling of neural map formation.
