Professor Geoffrey Goodhill
+61 7 334 66431
Queensland Brain Institute (79), Room 424C
Teaching and learning
Professor Goodhill teaches 3rd year mathematical biology
Researcher biography
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. He is addressing these questions using a combination of mathematical, experimental and computational techniques. Members of the lab come from diverse backgrounds including biology, mathematics, physics and computer science.
Prof Goodhill originally trained in Mathematics, Physics, Artificial Intelligence and Cognitive Science in the UK. He then spent 10 years in the USA, including 8 as Professor at Georgetown University in Washington DC, where he was awarded tenure 2 years early. He moved to the University of Queensland in 2005. He has published over 100 peer-reviewed papers including in Nature Neuroscience, 4 in Neuron, 4 in PNAS and 8 in Trends in Neurosciences. In 2014 he received the Paxinos-Watson prize from the Australasian Neuroscience Society for a paper in Neuron. Since moving to Australia he has been awarded an NHMRC Investigator grant, 12 ARC Discovery and NHMRC Project grants and a Simons Foundation grant as Chief Investigator A, as well as numerous other national and international grants as a co-CI. He has trained over 30 PhD students and postdocs, many of whom are now faculty members in universities worldwide, or work as scientists in tech companies such as Google Deepmind. From 2005-2010 he was Editor-in-Chief of the journal Network: Computation in Neural Systems, and he is currently on the Editorial Boards of Neural Computation and Brain Informatics. He has reviewed manuscripts for over 60 different journals and grants for 15 different research agencies worldwide. In 2006 he founded the Australian Workshop on Computational Neuroscience which now runs annually, and in 2015 he founded the Systems and Computational Neuroscience DownUnder (SCiNDU) conference which now runs bi-annually. During his career he has taught courses in Medical Neuroscience, Developmental Neuroscience, Mathematical Neuroscienc, Numeral Methods and Scientific Computing. Besides giving many radio interviews and public lectures about his work he has also written several articles for The Conversation and given a TEDx talk.
Book Chapters
Pujic, Zac, Nguyen, Huyen, Glass, Nick, Cooper-White, Justin and Goodhill, Geoffrey J. (2016). Axon guidance studies using a microfluidics-based chemotropic gradient generator. In 2nd (Ed.), Chemotaxis: methods and protocols (pp. 273-285) New York, NY United States: Springer New York. doi:10.1007/978-1-4939-3480-5_20
Mortimer, Duncan, Simpson, Hugh D. and Goodhill, Geoffrey J. (2012). Axonal growth and targeting. Computational systems neurobiology. (pp. 429-458) edited by Nicolas Le Novère. Dordrecht, Netherlands: Springer. doi: 10.1007/978-94-007-3858-4_14
Mortimer, D. and Goodhill, G. J. (2009). Axonal Pathfinding. Encyclopedia of Neuroscience. (pp. 1133-1138) edited by Marc D. Binder, Nobutaka Hirokawa and Uwe Windhorst. Berlin, Germany: Elsevier Ltd. doi: 10.1016/B978-008045046-9.01412-1
Rosoff, William J., McAllister, Ryan G., Goodhill, Geoffrey J. and Urbach, Jeffrey S. (2009). Quantitative studies of neuronal chemotaxis in 3D. Chemotaxis: methods and protocols. (pp. 239-254) edited by Tian Jin and Dale Hereld. New York, United States: Humana Press. doi: 10.1007/978-1-60761-198-1
Journal Articles
So, Choon Leng, Robitaille, Mélanie, Sadras, Francisco, McCullough, Michael H., Milevskiy, Michael J. G., Goodhill, Geoffrey J., Roberts-Thomson, Sarah J. and Monteith, Gregory R. (2024). Cellular geometry and epithelial-mesenchymal plasticity intersect with PIEZO1 in breast cancer cells. Communications Biology, 7 (1) 467, 467. doi: 10.1038/s42003-024-06163-z
Suárez, Rodrigo, Bluett, Tobias, McCullough, Michael, Avitan, Lilach, Paolino, Annalisa, Fenlon, Laura R., Goodhill, Geoffrey J. and Richards, Linda J. (2023). Cortical activity emerges in region-specific patterns during early brain development. Proceedings of the National Academy of Sciences.
Suárez, Rodrigo, Bluett, Tobias, McCullough, Michael H., Avitan, Lilach, Black, Dylan A., Paolino, Annalisa, Fenlon, Laura R., Goodhill, Geoffrey J. and Richards, Linda J. (2023). Cortical activity emerges in region-specific patterns during early brain development. Proceedings of the National Academy of Sciences, 120 (22) e2208654120, e2208654120. doi: 10.1073/pnas.2208654120
Zhu, Shuyu I., McCullough, Michael H., Pujic, Zac, Sibberas, Jordan, Sun, Biao, Darveniza, Thomas, Bucknall, Bianca, Avitan, Lilach and Goodhill, Geoffrey J. (2023). fmr1 mutation alters the early development of sensory coding and hunting and social behaviors in larval zebrafish. The Journal of Neuroscience, 43 (7), 1211-1224. doi: 10.1523/JNEUROSCI.1721-22.2022
Hasani, Hamid, Sun, Jipeng, Zhu, Shuyu I., Rong, Qiangzhou, Willomitzer, Florian, Amor, Rumelo, McConnell, Gail, Cossairt, Oliver and Goodhill, Geoffrey J. (2023). Whole-brain imaging of freely-moving zebrafish. Frontiers in Neuroscience, 17 1127574, 1127574. doi: 10.3389/fnins.2023.1127574
Swindale, Nicholas V. and Goodhill, Geoffrey J. (2022). Editorial: Cortical Maps: Data and Models. Frontiers in Neuroinformatics, 16 954042, 954042. doi: 10.3389/fninf.2022.954042
Triplett, Marcus A. and Goodhill, Geoffrey J. (2022). Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data. Neural Computation, 34 (5), 1143-1169. doi: 10.1162/neco_a_01492
McCullough, Michael H. and Goodhill, Geoffrey J. (2021). Unsupervised quantification of naturalistic animal behaviors for gaining insight into the brain. Current Opinion in Neurobiology, 70, 89-100. doi: 10.1016/j.conb.2021.07.014
Barthelson, Karissa, Baer, Lachlan, Dong, Yang, Hand, Melanie, Pujic, Zac, Newman, Morgan, Goodhill, Geoffrey J., Richards, Robert I., Pederson, Stephen M. and Lardelli, Michael (2021). Zebrafish chromosome 14 gene differential expression in the fmr1hu2787 model of Fragile X Syndrome. Frontiers in Genetics, 12 625466, 625466. doi: 10.3389/fgene.2021.625466
Avitan, Lilach, Pujic, Zac, Mölter, Jan, Zhu, Shuyu, Sun, Biao and Goodhill, Geoffrey J. (2021). Spontaneous and evoked activity patterns diverge over development. eLife, 10 e61942, 1-12. doi: 10.7554/elife.61942
Gormal, Rachel S., Padmanabhan, Pranesh, Kasula, Ravikiran, Bademosi, Adekunle T., Coakley, Sean, Giacomotto, Jean, Blum, Ailisa, Joensuu, Merja, Wallis, Tristan P., Lo, Harriet P., Budnar, Srikanth, Rae, James, Ferguson, Charles, Bastiani, Michele, Thomas, Walter G., Pardon, Els, Steyaert, Jan, Yap, Alpha S., Goodhill, Geoffrey J., Hilliard, Massimo A., Parton, Robert G. and Meunier, Frédéric A. (2020). Modular transient nanoclustering of activated β2-adrenergic receptors revealed by single-molecule tracking of conformation-specific nanobodies. Proceedings of the National Academy of Sciences of the United States of America, 117 (48), 30476-30487. doi: 10.1073/pnas.2007443117
Goodhill, Geoff (2020). Spare a thought for longitudinal diversity. Nature, 587 (7833), 320-320. doi: 10.1038/d41586-020-03017-6
Triplett, Marcus A., Pujic, Zac, Sun, Biao, Avitan, Lilach and Goodhill, Geoffrey J. (2020). Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data. Plos Computational Biology, 16 (11) e1008330, e1008330. doi: 10.1371/journal.pcbi.1008330
Constantin, Lena, Poulsen, Rebecca E., Scholz, Leandro A., Favre-Bulle, Itia A., Taylor, Michael A., Sun, Biao, Goodhill, Geoffrey J., Vanwalleghem, Gilles C. and Scott, Ethan K. (2020). Altered brain-wide auditory networks in a zebrafish model of fragile X syndrome. BMC Biology, 18 (1) 125, 125. doi: 10.1186/s12915-020-00857-6
Avitan, Lilach, Pujic, Zac, Mölter, Jan, McCullough, Michael, Zhu, Shuyu, Sun, Biao, Myhre, Ann-Elin and Goodhill, Geoffrey J. (2020). Correction: Behavioral signatures of a developing neural code. Current Biology, 30 (17), 3491-3493. doi: 10.1016/j.cub.2020.08.009
Avitan, Lilach, Pujic, Zac, Mölter, Jan, McCullough, Michael, Zhu, Shuyu, Sun, Biao, Myhre, Ann-Elin and Goodhill, Geoffrey J. (2020). Behavioral signatures of a developing neural code. Current Biology, 30 (17), 3352-3363.e5. doi: 10.1016/j.cub.2020.06.040
Mölter, Jan and Goodhill, Geoffrey J. (2020). Limitations to estimating mutual information in large neural populations. Entropy, 22 (4) 490, 1-12. doi: 10.3390/e22040490
Mölter, Jan, Avitan, Lilach and Goodhill, Geoffrey J. (2019). Correction to: Detecting neural assemblies in calcium imaging data (BMC Biology (2018) 16 (143) DOI: 10.1186/s12915-018-0606-4). BMC Biology, 17 (1) 21, 21. doi: 10.1186/s12915-019-0644-6
Triplett, Marcus A. and Goodhill, Geoffrey J. (2019). Probabilistic encoding models for multivariate neural data. Frontiers in Neural Circuits, 13 1, 1. doi: 10.3389/fncir.2019.00001
Mölter, Jan, Avitan, Lilach and Goodhill, Geoffrey J. (2018). Detecting neural assemblies in calcium imaging data. BMC Biology, 16 (1) 143, 143. doi: 10.1186/s12915-018-0606-4
Goodhill, Geoffrey J. (2018). Theoretical Models of Neural Development. Iscience, 8, 183-199. doi: 10.1016/j.isci.2018.09.017
Triplett, Marcus A., Avitan, Lilach and Goodhill, Geoffrey J. (2018). Emergence of spontaneous assembly activity in developing neural networks without afferent input. PLoS Computational Biology, 14 (9) e1006421, e1006421. doi: 10.1371/journal.pcbi.1006421
Bicknell, Brendan A., Pujic, Zac, Feldner, Julia, Vetter, Irina and Goodhill, Geoffrey J. (2018). Data descriptor: chemotactic responses of growing neurites to precisely controlled gradients of nerve growth factor. Scientific Data, 5 (1) 180183, 180183. doi: 10.1038/sdata.2018.183
Marachlian, Emiliano, Avitan, Lilach, Goodhill, Geoffrey J. and Sumbre, German (2018). Principles of functional circuit connectivity: insights from spontaneous activity in the zebrafish optic tectum. Frontiers in Neural Circuits, 12 46, 46. doi: 10.3389/fncir.2018.00046
Bicknell, Brendan A., Pujic, Zac, Dayan, Peter and Goodhill, Geoffrey J. (2018). Control of neurite growth and guidance by an inhibitory cell-body signal. PLoS Computational Biology, 14 (6) e1006218, e1006218. doi: 10.1371/journal.pcbi.1006218
Avitan, Lilach and Goodhill, Geoffrey J (2018). Code under construction: neural coding over development. Trends in Neurosciences, 41 (9), 599-609. doi: 10.1016/j.tins.2018.05.011
Padmanabhan, Pranesh and Goodhill, Geoffrey J. (2018). Axon growth regulation by a bistable molecular switch. Proceedings of the Royal Society of London B: Biological Sciences, 285 (1877) 20172618, 20172618. doi: 10.1098/rspb.2017.2618
Joensuu, Merja, Martinez-Marmol, Ramon, Padmanabhan, Pranesh, Glass, Nick R., Durisic, Nela, Pelekanos, Matthew, Mollazade, Mahdie, Balistreri, Giuseppe, Amor, Rumelo, Cooper-White, Justin J., Goodhill, Geoffrey J. and Meunier, Frederic A. (2017). Visualizing endocytic recycling and trafficking in live neurons by subdiffractional tracking of internalized molecules. Nature Protocols, 12 (12), 2590-2622. doi: 10.1038/nprot.2017.116
Abbas, Fatima, Triplett, Marcus A., Goodhill, Geoffrey J. and Meyer, Martin P. (2017). A Three-Layer Network Model of Direction Selective Circuits in the Optic Tectum. Frontiers in Neural Circuits, 11 88, 88. doi: 10.3389/fncir.2017.00088
Hughes, Nicholas J. and Goodhill, Geoffrey J. (2017). Estimating cortical feature maps with dependent Gaussian processes. IEEE Transactions On Pattern Analysis and Machine Intelligence, 39 (10) 7731172, 1918-1928. doi: 10.1109/TPAMI.2016.2624295
Avitan, Lilach, Goodhill, Geoffrey J., Pujic, Zac, Molter, Jan, Van De Poll, Matthew, Sun, Biao, Teng, Haotian, Amor, Rumelo and Scott, Ethan K. (2017). Spontaneous Activity in the Zebrafish Tectum Reorganizes over Development and Is Influenced by Visual Experience. Current Biology, 27 (16), 2407-2419. doi: 10.1016/j.cub.2017.06.056
Bademosi, Adekunle T., Lauwers, Elsa, Padmanabhan, Pranesh, Odierna, Lorenzo, Chai, Ye Jin, Papadopulos, Andreas, Goodhill, Geoffrey J., Verstreken, Patrik, van Swinderen, Bruno and Meunier, Frédéric A (2017). Erratum: In vivo single-molecule imaging of syntaxin1A reveals polyphosphoinositide- and activity-dependent trapping in presynaptic nanoclusters. Nature Communications, 8 (1) 14492. doi: 10.1038/ncomms14492
Bademosi, Adekunle T., Lauwers, Elsa, Padmanabhan, Pranesh, Odierna, Lorenzo, Chai, Ye Jin, Papadopulos, Andreas, Goodhill, Geoffrey J., Verstreken, Patrik, Van Swinderen, Bruno and Meunier, Frederic A. (2016). In vivo single-molecule imaging of syntaxin1A reveals polyphosphoinositide- and activity-dependent trapping in presynaptic nanoclusters. Nature Communications, 7 (1) 13660, 13660. doi: 10.1038/ncomms13660
Joensuu, Merja, Padmanabhan, Pranesh, Durisic, Nela, Bademosi, Adekunle T. D., Cooper-Williams, Elizabeth, Morrow, Isabel C., Harper, Callista B., Jung, WooRam, Parton, Robert G., Goodhill, Geoffrey J., Papadopulos, Andreas and Meunier, Frederic A. (2016). Subdiffractional tracking of internalized molecules reveals heterogeneous motion states of synaptic vesicles. Journal of Cell Biology, 215 (2), 277-292. doi: 10.1083/jcb.201604001
Cloherty, Shaun L., Hughes, Nicholas J., Hietanen, Markus A., Bhagavatula, Partha S., Goodhill, Geoffrey J. and Ibbotson, Michael R. (2016). Sensory experience modifies feature map relationships in visual cortex. eLife, 5 (JUN2016) e13911. doi: 10.7554/eLife.13911
Avitan, Lilach, Pujic, Zac, Hughes, Nicholas J., Scott, Ethan K. and Goodhill, Geoffrey J. (2016). Limitations of neural map topography for decoding spatial information. Journal of Neuroscience, 36 (19), 5385-5396. doi: 10.1523/JNEUROSCI.0385-16.2016
Goodhill, Geoffrey J. (2016). Can molecular gradients wire the brain?. Trends in Neurosciences, 39 (4), 202-211. doi: 10.1016/j.tins.2016.01.009
Chalmers, Kelsey, Kita, Elizabeth M., Scott, Ethan K. and Goodhill, Geoffrey J. (2016). Quantitative analysis of axonal branch dynamics in the developing nervous system. PLoS Computational Biology, 12 (3) e1004813, e1004813. doi: 10.1371/journal.pcbi.1004813
Bicknell, Brendan A., Dayan, Peter and Goodhill, Geoffrey J. (2015). The limits of chemosensation vary across dimensions. Nature Communications, 6 (7468) 7468, 1-8. doi: 10.1038/ncomms8468
Goodhill, Geoffrey J. (2015). Introduction to the special issue on from maps to circuits: models and mechanisms for generating neural connections. Developmental Neurobiology, 75 (6), 539-541. doi: 10.1002/dneu.22270
Goodhill, Geoffrey J., Faville, Richard A., Sutherland, Daniel J., Bicknell, Brendan A., Thompson, Andrew W., Pujic, Zac, Sun, Biao, Kita, Elizabeth M. and Scott, Ethan K. (2015). The dynamics of growth cone morphology. BMC Biology, 13 (10) 10, 1-16. doi: 10.1186/s12915-015-0115-7
Faville, R., Kottler, B., Goodhill, G. J., Shaw, P. J. and van Swinderen, B. (2015). How deeply does your mutant sleep? Probing arousal to better understand sleep defects in Drosophila. Scientific Reports, 5 (1) 8454, 1-13. doi: 10.1038/srep08454
Hughes, Nicholas J. and Goodhill, Geoffrey J. (2015). Optimizing the representation of orientation preference maps in visual cortex. Neural Computation, 27 (1), 32-41. doi: 10.1162/NECO_a_00687
Kita, Elizabeth M, Scott, Ethan K and Goodhill, Geoffrey J (2015). Topographic wiring of the retinotectal connection in zebrafish. Developmental Neurobiology, 75 (6), 542-556. doi: 10.1002/dneu.22256
Nguyen, H., Dayan, P. and Goodhill, G. J. (2015). How receptor diffusion influences gradient sensing. Journal of the Royal Society: Interface, 12 (102) 20141097, 1-8. doi: 10.1098/rsif.2014.1097
Xu, Jun, Rosoff, William J., Urbach, Jeffrey S. and Goodhill, Geoffrey J. (2015). Adaptation is not required to explain the long-term response of axons to molecular gradients [correction]. Development (Cambridge), 142 (13), 2385-2385. doi: 10.1242/dev.127316
Sutherland, Daniel J. and Goodhill, Geoffrey J. (2015). The interdependent roles of Ca2+ and cAMP in axon guidance. Developmental Neurobiology, 75 (4), 402-410. doi: 10.1002/dneu.22144
Kita, Elizabeth M., Scott, Ethan K. and Goodhill, Geoffrey J. (2015). The influence of activity on axon pathfinding in the optic tectum. Developmental Neurobiology, 75 (6), 608-620. doi: 10.1002/dneu.22262
Nguyen, H., Dayan, P. and Goodhill, G. J. (2014). The influence of receptor positioning on chemotactic information. Journal of Theoretical Biology, 360, 95-101. doi: 10.1016/j.jtbi.2014.06.022
Hughes, Nicholas J., Hunt, Jonathan J., Cloherty, Shaun L., Ibbotson, Michael R., Sengpiel, Frank and Goodhill, Geoffrey J. (2014). Stripe-rearing changes multiple aspects of the structure of primary visual cortex. NeuroImage, 95, 305-319. doi: 10.1016/j.neuroimage.2014.03.031
Suarez, Rodrigo, Fenlon, Laura R., Marek, Roger, Avitan, Lilach A, Sah, Pankaj, Goodhill, Geoffrey J. and Richards, Linda J. (2014). Balanced interhemispheric cortical activity is required for correct targeting of the corpus callosum. Neuron, 82 (6), 1289-1298. doi: 10.1016/j.neuron.2014.04.040
Goodhill, Geoffrey J. (2014). Open access: Practical costs of data sharing. Nature, 509 (7498), 33-33. doi: 10.1038/509033b
Davis, F. M., Azimi, I., Faville, R. A., Peters, A. A., Jalink, K., Putney Jr, J. W., Goodhill, G. J., Thompson, E. W., Roberts-Thomson, S. J. and Monteith, G. R. (2014). Induction of epithelial-mesenchymal transition (EMT) in breast cancer cells is calcium signal dependent. Oncogene, 33 (18), 2307-2316. doi: 10.1038/onc.2013.187
Giacomantonio, Clare E. and Goodhill, Geoffrey J. (2014). A computational model of the effect of gene misexpression on the development of cortical areas. Biological Cybernetics, 108 (2), 203-221. doi: 10.1007/s00422-014-0590-x
Sutherland, Daniel J., Pujic, Zac and Goodhill, Geoffrey J. (2014). Calcium signaling in axon guidance. Trends in Neurosciences, 37 (8), 424-432. doi: 10.1016/j.tins.2014.05.008
Fothergill, Thomas, Donahoo, Amber-Lee S., Douglass, Amelia, Zalucki, Oressia, Yuan, Jiajia, Shu, Tianzhi, Goodhill, Geoffrey J. and Richards, Linda J. (2014). Netrin-DCC signaling regulates corpus callosum formation through attraction of pioneering axons and by modulating Slit2-mediated repulsion. Cerebral Cortex, 24 (5), 1138-1151. doi: 10.1093/cercor/bhs395
Hunt, Jonathan J., Dayan, Peter and Goodhill, Geoffrey J. (2013). Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input. PLoS Computational Biology, 9 (5) e1003005, e1003005.1-e1003005.17. doi: 10.1371/journal.pcbi.1003005
Simpson, Hugh D., Kita, Elizabeth M., Scott, Ethan K. and Goodhill, Geoffrey J. (2013). A quantitative analysis of branching, growth cone turning and directed growth in zebrafish retinotectal axon guidance. Journal of Comparative Neurology, 521 (6), 1409-1429. doi: 10.1002/cne.23248
Yuan, Jiajia, Chan, Stanley, Mortimer, Duncan, Nguyen, Huyen and Goodhill, Geoffrey J. (2013). Optimality and saturation in axonal chemotaxis. Neural Computation, 25 (4), 833-853. doi: 10.1162/NECO_a_00426
Pujic, Zac and Goodhill, Geoffrey J. (2013). A dual compartment diffusion chamber for studying axonal chemotaxis in 3D collagen. Journal of Neuroscience Methods, 215 (1), 53-59. doi: 10.1016/j.jneumeth.2013.02.008
Hunt, Jonathan J., Mattingley, Jason B. and Goodhill, Geoffrey J. (2012). Randomly oriented edge arrangements dominate naturalistic arrangements in binocular rivalry. Vision Research, 64, 49-55. doi: 10.1016/j.visres.2012.05.007
Forbes, Elizabeth M., Thompson, Andrew W., Yuan, Jiajia and Goodhill, Geoffrey J. (2012). Calcium and cAMP levels interact to determine attraction versus repulsion in axon guidance. Neuron, 74 (3), 490-503. doi: 10.1016/j.neuron.2012.02.035
Hunt, Jonathan J., Ibbotson, Michael and Goodhill, Geoffrey J. (2012). Sparse coding on the spot: Spontaneous retinal waves suffice for orientation selectivity. Neural Computation, 24 (24), 2422-2433. doi: 10.1162/NECO_a_00333
Forbes, Elizabeth M., Hunt, Jonathan J. and Goodhill, Geoffrey J. (2011). The combinatorics of neurite self-avoidance. Neural Computation, 23 (11), 2746-2769. doi: 10.1162/NECO_a_00186
Thompson, Andrew W., Pujic, Zac, Richards, Linda J. and Goodhill, Geoffrey J. (2011). Cyclic nucleotide-dependent switching of mammalian axon guidance depends on gradient steepness. Molecular and Cellular Neuroscience, 47 (1), 45-52. doi: 10.1016/j.mcn.2011.02.012
Simpson, Hugh D., Giacomantonio, Clare and Goodhill, Geoffrey J. (2011). Computational modeling of neuronal map development: insights into disease. Future Neurology, 6 (3), 339-349. doi: 10.2217/fnl.11.10
Mortimer, Duncan, Dayan, Peter, Burrage, Kevin and Goodhill, Geoffrey J. (2011). Bayes-optimal chemotaxis. Neural Computation, 23 (2), 336-373. doi: 10.1162/NECO_a_00075
Simpson, Hugh D. and Goodhill, Geoffrey J. (2011). A simple model can unify a broad range of phenomena in retinotectal map development. Biological Cybernetics, 104 (1-2), 9-29. doi: 10.1007/s00422-011-0417-y
Hunt, Jonathan J., Bosking, William H. and Goodhill, Geoffrey J. (2011). Statistical structure of lateral connections in the primary visual cortex. Neural Systems and Circuits, 1 (3) 3, 1-23. doi: 10.1186/2042-1001-1-3
Giacomantonio, Clare E. and Goodhill, Geoffrey J. (2010). A boolean model of the gene regulatory network underlying mammalian cortical area development. Plos Computational Biology, 6 (9) e1000936, e1000936-1-e1000936-13. doi: 10.1371/journal.pcbi.1000936
Giacomantonio, CE, Ibbotson, MR and Goodhill, GJ (2010). The influence of restricted orientation rearing on map structure in primary visual cortex. NeuroImage, 52 (3), 875-883. doi: 10.1016/j.neuroimage.2009.12.066
Vetter, I, Pujic, Z and Goodhill, GJ (2010). The response of dorsal root ganglion axons to nerve growth factor gradients depends on spinal level. Journal of Neurotrauma, 27 (8), 1379-1386. doi: 10.1089/neu.2010.1279
Mortimer, Duncan, Dayan, Peter, Burrage, Kevin and Goodhill, Geoffrey J. (2010). Optimizing chemotaxis by measuring unbound-bound transitions. Physica D: Nonlinear Phenomena, 239 (9), 477-484. doi: 10.1016/j.physd.2009.09.009
Mortimer, D., Pujic, Z., Vaughan, T., Thompson, A. W., Feldner, J., Vetter, I. and Goodhill, G. J. (2010). Axon guidance by growth-rate modulation. Proceedings of the National Academy of Sciences of the United States of America, 107 (11), 5202-5207. doi: 10.1073/pnas.0909254107
Haines, Carmen and Goodhill, Geoffrey J. (2010). Analyzing neurite outgrowth from explants by fitting ellipses. Journal of Neuroscience Methods, 187 (1), 52-58. doi: 10.1016/j.jneumeth.2009.12.010
Pujic, Z, Mortimer, Duncan, Feldner, Julia and Goodhill, Geoffrey J. (2009). Assays for Eukaryotic Cell Chemotaxis. Combinatorial Chemistry & High Throughput Screening, 12 (6), 580-588. doi: 10.2174/138620709788681952
Mortimer, Duncan, Feldner, Julia, Vaughan, Timothy, Vetter, Irina, Pujic, Zac, Rosoff, William J., Burrage, Kevin, Dayan, Peter, Richards, Linda J. and Goodhill, Geoffrey J. (2009). A Bayesian model predicts the response of axons to molecular gradients. Proceedings of the National Academy of Sciences of the United States of America, 106 (25), 10296-10301. doi: 10.1073/pnas.0900715106
Simpson, Hugh D., Mortimer, Duncan and Goodhill, Geoffrey J. (2009). Theoretical models of neural circuit development. Current Topics in Developmental Biology, 87, 1-51. doi: 10.1016/S0070-2153(09)01201-0
Hunt, J. J., Giacomantonio, C. E., Tang, H. J., Mortimer, D., Jaffer, S., Vorobyov, V., Ericksson, G., Sengpiel, F. and Goodhill, G. J. (2009). Natural scene statistics and the structure of orientation maps in the visual cortex. NeuroImage, 47 (1), 157-172. doi: 10.1016/j.neuroimage.2009.03.052
Goodhill, Geoffrey J. (2009). The error bars on impact. Network-Computation in Neural Systems, 20 (2), 47-48. doi: 10.1080/09548980902996761
Pujic, Zac, Giacomantonio, Clare E., Unni, Divya, Rosoff, William J. and Goodhill, Geoffrey J. (2008). Analysis of the growth cone turning assay for studying axon guidance. Journal of Neuroscience Methods, 170 (2), 220-228. doi: 10.1016/j.jneumeth.2008.01.014
Goodhill, Geoff, Baker, Curtis, Balasubramanian, Vijay, Bazhenov, Maxim, Beck, Jeffrey, Becker, Sue, Bethge, Matthias, Boahen, Kwabena, Boden, Mikael, Bonin, Vincent, Bouret, Sebastien, Fairhall, Adrienne, Flash, Tamar, French, Robert, Gillies, Andrew, Gollisch, Tim, Gurney, Kevin, Gutkin, Boris, Hayhoe, Mary, Hunt, Jonathan, Ibbotson, Michael, Kepecs, Adam, Kingdom, Fred, Kropff, Emilio, Longden, Kit, Marder, Eve, Miikkulainen, Risto, Oliva, Aude, Olshausen, Bruno ... Zhaoping, Li (2008). Network: Computation in Neural Systems: Editorial. Network: Computation in Neural Systems, 19 (1), 1-2. doi: 10.1080/09548980801915409
Goodhill, Geoff (2008). Computation in neural systems. Editorial.. Network-Computation in Neural Systems, 19 (1), 1-2. doi: 10.1080/09548980801915409
Mortimer, Duncan, Fothergill, Thomas, Pujic, Zac, Richards, Linda J. and Goodhill, Geoffrey J. (2008). Growth cone chemotaxis. Trends in Neurosciences, 31 (2), 90-98. doi: 10.1016/j.tins.2007.11.008
Giacomantonio, C. E. and Goodhill, G. J. (2007). The effect of angioscotomas on map structure in primary visual cortex. Journal of Neuroscience, 27 (18), 4935-4946. doi: 10.1523/JNEUROSCI.1261-06.2007
Goodhill, G. J. (2007). Contributions of theoretical modeling to the understanding of neural map development. Neuron, 56 (2), 301-311. doi: 10.1016/j.neuron.2007.09.027
Goodhill, G. J. (2006). Editorial: Welcome to the new Network. Network-computation In Neural Systems, 17 (1), 1-2. doi: 10.1080/09548980600581758
Xu, J., Rosoff, W. J., Urbach, J. S. and Goodhill, G. J. (2005). Adaptation is not required to explain the long-term response of axons to molecular gradients. Development, 132 (20), 4545-4552. doi: 10.1242/dev.02029
Goodhill, Geoffrey J. and Xu, Jun (2005). The development of retinotectal maps: A review of models based on molecular gradients. Network-computation In Neural Systems, 16 (1), 5-34. doi: 10.1080/09548980500254654
Rosoff, W. J., McAllister, R., Esrick, M. A., Goodhill, G. J. and Urbach, J. S. (2005). Generating controlled molecular gradients in 3D gels. Biotechnology And Bioengineering, 91 (6), 754-759. doi: 10.1002/bit.20564
Carreira-Perpinan, M. A., Lister, R. J. and Goodhill, G. J. (2005). A computational model for the development of multiple maps in primary visual cortex. Cerebral Cortex, 15 (8), 1222-1233. doi: 10.1093/cercor/bhi004
Rosoff, WJ, Urbach, JS, Esrick, MA, McAllister, RG, Richards, LJ and Goodhill, GJ (2004). A new chemotaxis assay shows the extreme sensitivity of axons to molecular gradients (vol 7, pg 678, 2004). Nature Neuroscience, 7 (7), 785-785. doi: 10.1038/nn0704-785
Goodhill, G. J., Gu, M. and Urbach, J. S. (2004). Predicting axonal response to molecular gradients with a computational model of filopodial dynamics. Neural Computation, 16 (11), 2221-2243. doi: 10.1162/0899766041941934
Carreira-Perpinan, M. A. and Goodhill, G. J. (2004). Influence of lateral connections on the structure of cortical maps. Journal of Neurophysiology, 92 (5), 2947-2959. doi: 10.1152/jn.00281.2004
Rosoff, W. J., Urbach, J. S., Esrick, M. A., McAllister, R. G., Richards, L. J. and Goodhill, G. J. (2004). A new chemotaxis assay shows the extreme sensitivity of axons to molecular gradients. Nature Neuroscience, 7 (6), 678-682. doi: 10.1038/nn1259
Goodhill, G. J. (2003). A theoretical model of axon guidance by the Robo code. Neural Computation, 15 (3), 549-564. doi: 10.1162/089976603321192077
Goodhill, Geoffrey J. and Urbach, Jeffrey S. (2003). Axon Guidance and Gradient Detection by Growth Cones. Modeling Neural Development, 95-109.
Carreira-Perpinan, M. A. and Goodhill, G. J. (2002). Are visual cortex maps optimized for coverage?. Neural Computation, 14 (7), 1545-1560. doi: 10.1162/08997660260028601
Haese, K. and Goodhill, G. J. (2001). Auto-SOM: recursive parameter estimation for guidance of self-organizing feature maps. Neural Computation, 13 (3), 595-619. doi: 10.1162/089976601300014475
Cimponeriu, A and Goodhill, GJ (2000). Dynamics of cortical map development in the elastic net model. Neurocomputing, 32, 83-90. doi: 10.1016/S0925-2312(00)00147-8
Goodhill, GJ and Cimponeriu, A (2000). Analysis of the elastic net model applied to the formation of ocular dominance and orientation columns. Network-Computation in Neural Systems, 11 (2), 153-168. doi: 10.1088/0954-898X/11/2/303
Goodhill, GJ (2000). Dating behavior of the retinal ganglion cell. Neuron, 25 (3), 501-503. doi: 10.1016/S0896-6273(00)81051-X
Goodhill, GJ and Richards, LJ (1999). Retinotectal maps: molecules, models and misplaced data. Trends in Neurosciences, 22 (12), 529-534. doi: 10.1016/S0166-2236(99)01469-1
Goodhill, GJ and Urbach, JS (1999). Theoretical analysis of gradient detection by growth cones. Journal of Neurobiology, 41 (2), 230-241. doi: 10.1002/(SICI)1097-4695(19991105)41:2<230::AID-NEU6>3.0.CO;2-9
Urbach, JS and Goodhill, GJ (1999). Limitations on detection of gradients of diffusible chemicals by axons. Neurocomputing, 26-7, 39-43. doi: 10.1016/S0925-2312(99)00086-7
Goodhill, GJ (1998). The influence of neural activity and intracortical connectivity on the periodicity of ocular dominance stripes. Network-Computation in Neural Systems, 9 (3), 419-432. doi: 10.1088/0954-898X/9/3/009
Goodhill, GJ (1998). Mathematical guidance for axons. Trends in Neurosciences, 21 (6), 226-231. doi: 10.1016/S0166-2236(97)01203-4
Goodhill, G. J. and Baier, H. (1998). Axon guidance: stretching gradients to the limit. Neural Computation, 10 (3), 521-527. doi: 10.1162/089976698300017638
Goodhill, GJ (1997). Stimulating issues in cortical map development. Trends in Neurosciences, 20 (9), 375-376. doi: 10.1016/S0166-2236(97)01113-2
Goodhill, G. J. and Sejnowski, T. J. (1997). A unifying objective function for topographic mappings. Neural Computation, 9 (6), 1291-1303. doi: 10.1162/neco.1997.9.6.1291
Goodhill, GJ (1997). Diffusion in axon guidance. European Journal of Neuroscience, 9 (7), 1414-1421. doi: 10.1111/j.1460-9568.1997.tb01496.x
Goodhill, GJ, Bates, KR and Montague, PR (1997). Influences on the global structure of cortical maps. Proceedings of the Royal Society B-Biological Sciences, 264 (1382), 649-655. doi: 10.1098/rspb.1997.0092
Goodhill, GJ and Lowel, S (1995). Theory Meets Experiment - Correlated Neural Activity Helps Determine Ocular Dominance Column Periodicity. Trends in Neurosciences, 18 (10), 437-439. doi: 10.1016/0166-2236(95)94490-V
Goodhill, GJ, Simmen, MW and Willshaw, DJ (1995). An Evaluation of the Use of Multidimensional-Scaling for Understanding Brain Connectivity. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, 348 (1325), 265-280. doi: 10.1098/rstb.1995.0068
Goodhill, G. J. and Willshaw, D. J. (1994). Elastic net model of ocular dominance - overall stripe pattern and monocular deprivation. Neural Computation, 6 (4), 615-621. doi: 10.1162/neco.1994.6.4.615
Simmen, MW, Goodhill, GJ and Willshaw, DJ (1994). Scaling and Brain Connectivity. Nature, 369 (6480), 448-449. doi: 10.1038/369448b0
Goodhill, G. J. and Barrow, H. G. (1994). The role of weight normalization in competitive learning. Neural Computation, 6 (2), 255-269. doi: 10.1162/neco.1994.6.2.255
Simmen, M. W., Goodhill, G. J., Willshaw, D. J., Young, M. P., Scannell, J. W., Burns, G. A P C and Blakemore, C. (1994). Scaling and brain connectivity [8]. Nature, 369 (6480), 448-450.
Goodhill, GJ (1993). Topography and Ocular Dominance - a Model Exploring Positive Correlations. Biological Cybernetics, 69 (2), 109-118. doi: 10.1007/BF00226194
Goodhill, G. J. and Willshaw, D. J. (1990). Application of the elastic net algorithm to the formation of ocular dominance stripes. Network-Computation in Neural Systems, 1 (1), 41-59. doi: 10.1088/0954-898X/1/1/004
Conference Papers
Bicknell, Brendan A., Dayan, Peter and Goodhill, Geoffrey J. (2017). Sensitivity and Robustness in an Axon Guidance Signaling System. 61st Annual Meeting of the Biophysical-Society, New Orleans La, Feb 11-15, 2017. CAMBRIDGE: CELL PRESS. doi: 10.1016/j.bpj.2016.11.752
Bicknell, Brendan A. and Goodhill, Geoffrey J. (2016). Emergence of ion channel modal gating from independent subunit kinetics. Washington, DC, United States: National Academy of Sciences. doi: 10.1073/pnas.1604090113
Huang, Jackson Y., Hughes, Nicholas J. and Goodhill, Geoffrey J. (2016). Segmenting neuronal growth cones using deep convolutional neural networks. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Gold Coast, Australia, 30 November-2 December 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/DICTA.2016.7797081
Goodhill, Geoff (2012). Computational models of map development in visual cortex. The Royal Australian and New Zealand College of Ophthalmologists 44th Annual Scientific Congress, Melbourne, Australia, 24-28 November 2012. Richmond, VIC., Australia: Wiley-Blackwell Publishing Asia. doi: 10.1111/ceo.12011
Carreira-Perpinan, M., Dayan, P. and Goodhill, G. J. (2005). Differential Priors for Elastic Nets. IDEAL 2005, Brisbane Australia, July 6-8. Berlin: Springer. doi: 10.1007/11508069_44
Urbach, JS and Goodhill, GJ (1999). Limitations on detection of gradients of diffusible chemicals by axone. 7th Annual Computational Neuroscience Meeting (CNS 98), Santa Barbara Ca, Jul, 1998. AMSTERDAM: ELSEVIER SCIENCE BV.
Goodhill, GJ (1998). A mathematical model of axon guidance by diffusible factors. 11th Annual Conference on Neural Information Processing Systems (NIPS), Denver Co, Dec 01-06, 1997. CAMBRIDGE: M I T PRESS.
Goodhill, Geoffrey J. (1998). Gradients for retinotectal mapping. 11th Annual Conference on Neural Information Processing Systems, NIPS 1997, , , December 1, 1997-December 6, 1997. Neural information processing systems foundation.
Goodhill, GJ and Sejnowski, TJ (1997). Objective functions for topography: A comparison of optimal maps. 4th Neural Computation and Psychology Workshop (NCPW4), London England, Apr 09-11, 1997. GODALMING: SPRINGER-VERLAG LONDON LTD.
Goodhill, GJ, Finch, S and Sejnowski, TJ (1996). Optimizing cortical mappings. 9th Annual Conference on Neural Information Processing Systems (NIPS), Denver Co, Nov 27-30, 1995. CAMBRIDGE: M I T PRESS.
Goodhill, G.J. and Sejnowski, T.J. (1996). Quantifying neighbourhood preservation in topographic mappings. 3rd Joint Symposium on Neural Computation, La Jolla, CA United States, 1 June 1996. La Jolla, CA United States: University of California.
Zamoraramos, C and Goodhill, GJ (1994). A Neural Computation - Spatial to Temporal Transformation. Satellite Workshop on Information Processing Underlying Gaze Control, at the 16th European-Neuroscience-Association Meeting, Seville Spain, Sep 22-24, 1993. OXFORD: PERGAMON PRESS LTD.
Dayan, P and Goodhill, G (1992). Perturbing Hebbian Rules. 5Th Conf On Neural Information Processing Systems - Natural and Synthetic ( Nips-91 ), Denver Co, Dec 02-05, 1991. SAN MATEO: MORGAN KAUFMANN PUB INC.
Goodhill, G (1991). Topography and Ocular Dominance Can Arise From Distributed Patterns of Activity. International Joint Conf On Neural Networks ( Ijcnn-91-Seattle ), Seattle Wa, Jul 08-12, 1991. NEW YORK: I E E E.
Hinton, Geoffrey E., McClelland, James L. and Goodhill, Geoffrey J. (1987). LEARNING REPRESENTATIONS BY RECIRCULATION. 1987 IEEE Conference on Neural Information Processing Systems - Natural and Synthetic., , , IEEE.
Data Collections
Suarez, Rodrigo, Bluett, Tobias, McCullough, Michael, Avitan, Lilach, Paolino, Annalisa, Fenlon, Laura, Goodhill, Geoffrey and Richards, Linda (2023). Raw data for "Cortical activity emerges in region-specific patterns during early brain development. Suárez et al., PNAS 2023". The University of Queensland. (Dataset) doi: 10.48610/5ccfb47
Goodhill, Geoffrey (2020). Zebrafish Behavioural Feeding Assay Old Data. The University of Queensland. (Dataset) doi: 10.48610/8b5b1b7
Goodhill, Geoffrey (2019). Zebrafish feeding assay behavioural analysis. The University of Queensland. (Dataset) doi: 10.48610/4565690
Goodhill, Geoffreyg (2019). Zebrafish model of Fragile X syndrome neural imaging. The University of Queensland. (Dataset) doi: 10.48610/5e9ea88
Goodhill, Geoffrey (2018). Neural decoding of visual information in the zebrafish. The University of Queensland. (Dataset) doi: 10.48610/6b5bfe1