Computational, Systems and Developmental Neuroscience

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Publications

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Journals and Preprints

2024

Zavitz, D., Ching, S. & Goodhill, G.J. (2024). Modeling normal and abnormal circuit development with recurrent neural networks. Cold Spring Harbor Perspectives in Biology, in press.

So, C. L., Robitaille, M., Sadras, F., McCullough, M.H., Milevsky, M. J. G., Robitaille, M., G. J. Goodhill, Roberts-Thomson, S. & Monteith, G. (2024). Cellular geometry and epithelial-mesenchymal plasticity intersect with PIEZO1 in breast cancer cells. Communications Biology, 7:467. PDF

2023

Darveniza, T., Zhu, S.I., Pujic, Z., Sun, B., Levendosky, M., Wong, R., Agarwal R., McCullough, M.H. & Goodhill, G.J. (2023). Behavioral adaptation to changing energy constraints via altered frequency of movement selection. https://www.biorxiv.org/content/10.1101/2023.11.08.566262v1

Suarez, R., Bluett, T., McCullough, M., Avitan, L., Black, D., Paolino, A., Fenlon, L., Goodhill, G.J. & Richards, L.J. (2023). Cortical activity emerges in region-specific patterns during early brain development. PNAS, 120:e2208654120. PDF

Zhu, S., McCullough, M., Pujic, Z., Sibberas, J., Sun, B., Darveniza, T., Bucknall, B., Avitan, L. & Goodhill, G.J. (2023). fmr1 mutation alters the early development of sensory coding and hunting and social behaviors in larval zebrafish. Journal of Neuroscience, 43, 1211–1224. PDF, Cover image

Zhu, S. & Goodhill, G.J. (2023). From perception to behavior: the neural circuits underlying prey capture in larval zebrafish. Frontiers in Neural Circuits, 17:1087993. PDF

Hasani, H., Sun, J., Zhu, S.I., Rong, Q., Willomitzer, F., Amor, R., McConnell, G., Cossairt, O. & Goodhill, G.J. (2023). Whole-brain imaging of freely-moving zebrafish. Frontiers in Neural Circuits, 17:127574. PDF

2022

Triplett, M.A. & Goodhill, G.J. (2022). Inference of multiplicative factors underlying neural variability in calcium imaging data. Neural Computation, 34, 1143–1169. PDF

2021

McCullough, M.H. & Goodhill, G.J. (2021). Unsupervised quantification of naturalistic animal behaviors for gaining insight into the brain. Current Opinion in Neurobiology, 70:89–100. PDF

Avitan, L., Pujic, Z., Molter, J., Zhu, S., Sun, B. & Goodhill, G.J. (2021). Spontaneous and evoked activity patterns diverge over development. eLife, 10:e61942. PDF

Barthelson, K., Dong, Y., Hand, M., Pujic, Z., Newman, M., Goodhill, G.J., Richards, R., Pederson, S. & Lardelli, M. (2021). Zebrafish Chromosome 14 gene differential expression in the fmr1h2787 model 2 of Fragile X Syndrome. Frontiers in Genetics, 12:625466. PDF

2020

Avitan, L., Pujic, Z., Molter, J., McCullough, M., Zhu, S., Sun, B., Myhre, A-E. & Goodhill, G.J. (2020). Behavioral signatures of a developing neural code. Current Biology, 30, 3352-3363. PDF.

Triplett, M.A., Pujic, Z., Sun, B., Avitan, L. & Goodhill, G.J. (2020). Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data. PLoS Computational Biology, 16:e1008330. PDF.

Moelter, J. & Goodhill, G.J. (2020). Limitations to estimating mutual information in large neural populations. Entropy, 22:490. PDF

Constantin, L., Poulsen, R.E., Favre-Bulle, I.A., Taylor, M.A., Sun, B., Goodhill, G.J., Vanwalleghem, G.C. & Scott, E.K. (2020). Altered brain-wide auditory networks in a zebrafish model of fragile X syndrome. BMC Biology, 18:125. PDF

2019

Triplett, M.A. & Goodhill, G.J. (2019). Probabilistic encoding models for multivariate neural data. Frontiers in Neural Circuits, 13:1. PDF

2018

Moelter, J., Avitan, L. & Goodhill, G.J. (2018). Detecting neural assemblies in calcium imaging data. BMC Biology, 16:143. PDF

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). Estimating Cortical Feature Maps with Dependent Gaussian Processes. 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

Projects