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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 224   54 Cited 54 times in Scopus54 0
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: e1000936-1-e1000936-13. doi:10.1371/journal.pcbi.1000936 144   20 Cited 26 times in Scopus26 1
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 74   27 Cited 32 times in Scopus32 0
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 33   0 Cited 0 times in Scopus0 0
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 117   23 Cited 24 times in Scopus24 0
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 55   4 Cited 4 times in Scopus4 1
Goodhill, GJ (1998). A mathematical model of axon guidance by diffusible factors. In: Advances in Neural Information Processing Systems 10. 11th Annual Conference on Neural Information Processing Systems (NIPS), Denver Co, (159-165). Dec 01-06, 1997. 20   1
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 22   26 0
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.2008.01.014 134   20 Cited 19 times in Scopus19 0
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 60   6 Cited 6 times in Scopus6 0
Zamoraramos, C and Goodhill, GJ (1994). A Neural Computation - Spatial to Temporal Transformation. In: Information Processing Underlying Gaze Control. Satellite Workshop on Information Processing Underlying Gaze Control, at the 16th European-Neuroscience-Association Meeting, Seville Spain, (125-137). Sep 22-24, 1993. 14   0
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 14   20 0
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 93   135 Cited 133 times in Scopus133 1
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 18   52 Cited 42 times in Scopus42 0
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 54   5 Cited 5 times in Scopus5 0
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 64   10 Cited 8 times in Scopus8 0
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 70   8 Cited 9 times in Scopus9 1
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 53   12 Cited 10 times in Scopus10 0
Goodhill, G. J. (2003) A theoretical model of axon guidance by the Robo code. Neural Computation, 15 3: 549-564. doi:10.1162/089976603321192077 57   14 Cited 14 times in Scopus14 0
Goodhill, GJ and Sejnowski, TJ (1997) A unifying objective function for topographic mappings. Neural Computation, 9 6: 1291-1303. doi:10.1162/neco.1997.9.6.1291 23   45 0
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 129   12 Cited 14 times in Scopus14 0
Mortimer, Duncan, Simpson, Hugh D. and Goodhill, Geoffrey J. (2012). Axonal growth and targeting. In Nicolas Le Novère (Ed.), Computational systems neurobiology (pp. 429-458) Dordrecht, Netherlands: Springer. 51  
Mortimer, D. and Goodhill, G. J. (2009). Axonal Pathfinding. In Marc D. Binder, Nobutaka Hirokawa and Uwe Windhorst (Ed.), Encyclopedia of Neuroscience (pp. 1133-1138) Berlin, Germany: Elsevier Ltd. doi:10.1016/B978-008045046-9.01412-1 24   Cited 1 times in Scopus1 0
Goodhill, Geoffrey J. and Urbach, Jeffrey S. (2003) Axon Guidance and Gradient Detection by Growth Cones. Modeling Neural Development, 95-109. 28   2
Mortimer, D, Pujic, Z, Vaughan, T, Thompson, AW, Feldner, J, Vetter, I and Goodhill, GJ (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 60   22 Cited 23 times in Scopus23 0
Goodhill, GJ and Baier, H (1998) Axon guidance: Stretching gradients to the limit. Neural Computation, 10 3: 521-527. doi:10.1162/089976698300017638 19   28 0
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 77 3 2 Cited 2 times in Scopus2 0
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 74   8 Cited 8 times in Scopus8 0
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 82   13 Cited 12 times in Scopus12 2
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 22   Cited 1 times in Scopus1 1
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 46   Cited 0 times in Scopus0 0
Goodhill, Geoff (2012). Computational models of map development in visual cortex. In: Abstracts of the Royal Australian and New Zealand College of Ophthalmologists 44th Annual Scientific Congress. The Royal Australian and New Zealand College of Ophthalmologists 44th Annual Scientific Congress, Melbourne, Australia, (125-125). 24-28 November 2012. doi:10.1111/ceo.12011 19   0 0
Goodhill, Geoff (2008) Computation in neural systems. Editorial.. Network-Computation in Neural Systems, 19 1: 1-2. doi:10.1080/09548980801915409 14   0 Cited 0 times in Scopus0 0
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.2007.09.027 255   34 Cited 38 times in Scopus38 0
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 52   10 Cited 9 times in Scopus9 0
Goodhill, GJ (2000) Dating behavior of the retinal ganglion cell. Neuron, 25 3: 501-503. doi:10.1016/S0896-6273(00)81051-X 20   5 0
Carreira-Perpinan, M., Dayan, P. and Goodhill, G. J. (2005). Differential Priors for Elastic Nets. In: M. Gallagher, J. Hogan and F. Maire, Lecture Notes in Computer Science: Intelligent Data Engineering and Automated Learning - IDEAL 2005. IDEAL 2005, Brisbane Australia, (335-342). July 6-8. doi:10.1007/11508069_44 43   3 Cited 2 times in Scopus2 0
Goodhill, GJ (1997) Diffusion in axon guidance. European Journal of Neuroscience, 9 7: 1414-1421. doi:10.1111/j.1460-9568.1997.tb01496.x 12   59 Cited 61 times in Scopus61 0
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 16   1 Cited 1 times in Scopus1 0
Goodhill, G. J. (2006) Editorial: Welcome to the new Network. Network-computation In Neural Systems, 17 1: 1-2. doi:10.1080/09548980600581758 37   0 Cited 0 times in Scopus0 0
Goodhill, GJ and Willshaw, DJ (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 16   25 0
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 66   34 Cited 36 times in Scopus36 0
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.2007.11.008 118   72 Cited 76 times in Scopus76 0
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 . doi:10.1038/srep08454 53   0 3
Nguyen, H., Dayan, P. and Goodhill, G. J. (2015) How receptor diffusion influences gradient sensing. Journal of the Royal Society: Interface, 12 102: 1-8. doi:10.1098/rsif.2014.1097 23   1
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 85   12 Cited 15 times in Scopus15 1
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 52   18 Cited 20 times in Scopus20 0
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. 17   17
Urbach, JS and Goodhill, GJ (1999). Limitations on detection of gradients of diffusible chemicals by axone. In: Computational Neuroscience. 7th Annual Computational Neuroscience Meeting (CNS 98), Santa Barbara Ca, (39-43). Jul, 1998. 12   0
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 13   4 Cited 3 times in Scopus3 0

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