The University of Queensland

Behavioral signatures of a developing neural code

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

Detecting neural assemblies in calcium imaging data

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

Code under construction: neural coding over development

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

Estimating cortical feature maps with dependent Gaussian processes

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

Spontaneous Activity in the Zebrafish Tectum Reorganizes over Development and Is Influenced by Visual Experience

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

Sensory experience modifies feature map relationships in visual cortex

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

Limitations of neural map topography for decoding spatial information

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

Can molecular gradients wire the brain?

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

Emergence of ion channel modal gating from independent subunit kinetics

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

The limits of chemosensation vary across dimensions

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

The dynamics of growth cone morphology

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

Balanced interhemispheric cortical activity is required for correct targeting of the corpus callosum

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

Calcium signaling in axon guidance

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

Calcium and cAMP levels interact to determine attraction versus repulsion in axon guidance

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

Axon guidance by growth-rate modulation

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

A Bayesian model predicts the response of axons to molecular gradients

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

Growth cone chemotaxis

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

Contributions of theoretical modeling to the understanding of neural map development

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

A new chemotaxis assay shows the extreme sensitivity of axons to molecular gradients

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

Axon guidance studies using a microfluidics-based chemotropic gradient generator

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

Axonal growth and targeting

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

Axonal Pathfinding

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

Quantitative studies of neuronal chemotaxis in 3D

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

Unsupervised quantification of naturalistic animal behaviors for gaining insight into the brain

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

Zebrafish chromosome 14 gene differential expression in the fmr1hu2787 model of Fragile X Syndrome

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

Spontaneous and evoked activity patterns diverge over development

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

Modular transient nanoclustering of activated β2-adrenergic receptors revealed by single-molecule tracking of conformation-specific nanobodies

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

Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data

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. doi: 10.1371/journal.pcbi.1008330

Spare a thought for longitudinal diversity

Goodhill, Geoff (2020). Spare a thought for longitudinal diversity. Nature, 587 (7833), 320-320. doi: 10.1038/d41586-020-03017-6

Altered brain-wide auditory networks in a zebrafish model of fragile X syndrome

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

Correction: Behavioral signatures of a developing neural code

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

Behavioral signatures of a developing neural code

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

Limitations to estimating mutual information in large neural populations

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

Correction to: Detecting neural assemblies in calcium imaging data (BMC Biology (2018) 16 (143) DOI: 10.1186/s12915-018-0606-4)

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

Probabilistic encoding models for multivariate neural data

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

Detecting neural assemblies in calcium imaging data

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

Theoretical Models of Neural Development

Goodhill, Geoffrey J. (2018). Theoretical Models of Neural Development. Iscience, 8, 183-199. doi: 10.1016/j.isci.2018.09.017

Emergence of spontaneous assembly activity in developing neural networks without afferent input

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

Data descriptor: chemotactic responses of growing neurites to precisely controlled gradients of nerve growth factor

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

Control of neurite growth and guidance by an inhibitory cell-body signal

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

Principles of functional circuit connectivity: insights from spontaneous activity in the zebrafish optic tectum

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

Code under construction: neural coding over development

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

Axon growth regulation by a bistable molecular switch

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

Visualizing endocytic recycling and trafficking in live neurons by subdiffractional tracking of internalized molecules

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

A Three-Layer Network Model of Direction Selective Circuits in the Optic Tectum

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

Estimating cortical feature maps with dependent Gaussian processes

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

Spontaneous Activity in the Zebrafish Tectum Reorganizes over Development and Is Influenced by Visual Experience

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

Erratum: In vivo single-molecule imaging of syntaxin1A reveals polyphosphoinositide- and activity-dependent trapping in presynaptic nanoclusters

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

In vivo single-molecule imaging of syntaxin1A reveals polyphosphoinositide- and activity-dependent trapping in presynaptic nanoclusters

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

Subdiffractional tracking of internalized molecules reveals heterogeneous motion states of synaptic vesicles

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

Sensory experience modifies feature map relationships in visual cortex

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

Limitations of neural map topography for decoding spatial information

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

Can molecular gradients wire the brain?

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

Quantitative analysis of axonal branch dynamics in the developing nervous system

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

The limits of chemosensation vary across dimensions

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

Introduction to the special issue on from maps to circuits: models and mechanisms for generating neural connections

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

The dynamics of growth cone morphology

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

How deeply does your mutant sleep? Probing arousal to better understand sleep defects in Drosophila

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

Optimizing the representation of orientation preference maps in visual cortex

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

Topographic wiring of the retinotectal connection in zebrafish

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

How receptor diffusion influences gradient sensing

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

Adaptation is not required to explain the long-term response of axons to molecular gradients [correction]

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

The influence of activity on axon pathfinding in the optic tectum

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

The interdependent roles of Ca2+ and cAMP in axon guidance

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

The influence of receptor positioning on chemotactic information

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

Stripe-rearing changes multiple aspects of the structure of primary visual cortex

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

Balanced interhemispheric cortical activity is required for correct targeting of the corpus callosum

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

Induction of epithelial-mesenchymal transition (EMT) in breast cancer cells is calcium signal dependent

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

Open access: Practical costs of data sharing

Goodhill, Geoffrey J. (2014). Open access: Practical costs of data sharing. Nature, 509 (7498), 33-33. doi: 10.1038/509033b

A computational model of the effect of gene misexpression on the development of cortical areas

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

Calcium signaling in axon guidance

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

Netrin-DCC signaling regulates corpus callosum formation through attraction of pioneering axons and by modulating Slit2-mediated repulsion

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

Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input

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

A quantitative analysis of branching, growth cone turning and directed growth in zebrafish retinotectal axon guidance

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

A dual compartment diffusion chamber for studying axonal chemotaxis in 3D collagen

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

Optimality and saturation in axonal chemotaxis

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

Randomly oriented edge arrangements dominate naturalistic arrangements in binocular rivalry

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

Calcium and cAMP levels interact to determine attraction versus repulsion in axon guidance

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

Sparse coding on the spot: Spontaneous retinal waves suffice for orientation selectivity

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

The combinatorics of neurite self-avoidance

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

Computational modeling of neuronal map development: insights into disease

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

Cyclic nucleotide-dependent switching of mammalian axon guidance depends on gradient steepness

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

A simple model can unify a broad range of phenomena in retinotectal map development

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

Bayes-optimal chemotaxis

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

Statistical structure of lateral connections in the primary visual cortex

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

A boolean model of the gene regulatory network underlying mammalian cortical area development

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

The influence of restricted orientation rearing on map structure in primary visual cortex

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

The response of dorsal root ganglion axons to nerve growth factor gradients depends on spinal level

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

Optimizing chemotaxis by measuring unbound-bound transitions

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

Analyzing neurite outgrowth from explants by fitting ellipses

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

Axon guidance by growth-rate modulation

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

Assays for Eukaryotic Cell Chemotaxis

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

A Bayesian model predicts the response of axons to molecular gradients

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

Theoretical models of neural circuit development

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

Natural scene statistics and the structure of orientation maps in the visual cortex

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

The error bars on impact

Goodhill, Geoffrey J. (2009). The error bars on impact. Network-Computation in Neural Systems, 20 (2), 47-48. doi: 10.1080/09548980902996761

Analysis of the growth cone turning assay for studying axon guidance

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

Network: Computation in Neural Systems: Editorial

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

Computation in neural systems. Editorial.

Goodhill, Geoff (2008). Computation in neural systems. Editorial.. Network-Computation in Neural Systems, 19 (1), 1-2. doi: 10.1080/09548980801915409

Growth cone chemotaxis

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

Contributions of theoretical modeling to the understanding of neural map development

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

The effect of angioscotomas on map structure in primary visual cortex

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

Editorial: Welcome to the new Network

Goodhill, G. J. (2006). Editorial: Welcome to the new Network. Network-computation In Neural Systems, 17 (1), 1-2. doi: 10.1080/09548980600581758

A computational model for the development of multiple maps in primary visual cortex

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

Adaptation is not required to explain the long-term response of axons to molecular gradients

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

Generating controlled molecular gradients in 3D gels

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

The development of retinotectal maps: A review of models based on molecular gradients

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

A new chemotaxis assay shows the extreme sensitivity of axons to molecular gradients (vol 7, pg 678, 2004)

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

A new chemotaxis assay shows the extreme sensitivity of axons to molecular gradients

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

Influence of lateral connections on the structure of cortical maps

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

Predicting axonal response to molecular gradients with a computational model of filopodial dynamics

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

A theoretical model of axon guidance by the Robo code

Goodhill, G. J. (2003). A theoretical model of axon guidance by the Robo code. Neural Computation, 15 (3), 549-564. doi: 10.1162/089976603321192077

Axon Guidance and Gradient Detection by Growth Cones

Goodhill, Geoffrey J. and Urbach, Jeffrey S. (2003). Axon Guidance and Gradient Detection by Growth Cones. Modeling Neural Development, 95-109.

Are visual cortex maps optimized for coverage?

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

Auto-SOM: recursive parameter estimation for guidance of self-organizing feature maps

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

Dynamics of cortical map development in the elastic net model

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

Analysis of the elastic net model applied to the formation of ocular dominance and orientation columns

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

Dating behavior of the retinal ganglion cell

Goodhill, GJ (2000). Dating behavior of the retinal ganglion cell. Neuron, 25 (3), 501-503. doi: 10.1016/S0896-6273(00)81051-X

Retinotectal maps: molecules, models and misplaced data

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

Theoretical analysis of gradient detection by growth cones

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

Limitations on detection of gradients of diffusible chemicals by axons

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

The influence of neural activity and intracortical connectivity on the periodicity of ocular dominance stripes

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

Mathematical guidance for axons

Goodhill, GJ (1998). Mathematical guidance for axons. Trends in Neurosciences, 21 (6), 226-231. doi: 10.1016/S0166-2236(97)01203-4

Axon guidance: stretching gradients to the limit

Goodhill, G. J. and Baier, H. (1998). Axon guidance: stretching gradients to the limit. Neural Computation, 10 (3), 521-527. doi: 10.1162/089976698300017638

Stimulating issues in cortical map development

Goodhill, GJ (1997). Stimulating issues in cortical map development. Trends in Neurosciences, 20 (9), 375-376. doi: 10.1016/S0166-2236(97)01113-2

A unifying objective function for topographic mappings

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

Diffusion in axon guidance

Goodhill, GJ (1997). Diffusion in axon guidance. European Journal of Neuroscience, 9 (7), 1414-1421. doi: 10.1111/j.1460-9568.1997.tb01496.x

Influences on the global structure of cortical maps

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

Theory Meets Experiment - Correlated Neural Activity Helps Determine Ocular Dominance Column Periodicity

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

An Evaluation of the Use of Multidimensional-Scaling for Understanding Brain Connectivity

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

Elastic net model of ocular dominance - overall stripe pattern and monocular deprivation

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

Scaling and Brain Connectivity

Simmen, MW, Goodhill, GJ and Willshaw, DJ (1994). Scaling and Brain Connectivity. Nature, 369 (6480), 448-449. doi: 10.1038/369448b0

The role of weight normalization in competitive learning

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

Scaling and brain connectivity [8]

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.

Topography and Ocular Dominance - a Model Exploring Positive Correlations

Goodhill, GJ (1993). Topography and Ocular Dominance - a Model Exploring Positive Correlations. Biological Cybernetics, 69 (2), 109-118. doi: 10.1007/BF00226194

Application of the elastic net algorithm to the formation of ocular dominance stripes

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

Sensitivity and Robustness in an Axon Guidance Signaling System

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

Emergence of ion channel modal gating from independent subunit kinetics

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

Segmenting neuronal growth cones using deep convolutional neural networks

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

Computational models of map development in visual cortex

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

Differential Priors for Elastic Nets

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

Limitations on detection of gradients of diffusible chemicals by axone

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.

A mathematical model of axon guidance by diffusible factors

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.

Gradients for retinotectal mapping

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.

Objective functions for topography: A comparison of optimal maps

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.

Optimizing cortical mappings

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.

Quantifying neighbourhood preservation in topographic mappings

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.

A Neural Computation - Spatial to Temporal Transformation

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.

Perturbing Hebbian Rules

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.

Topography and Ocular Dominance Can Arise From Distributed Patterns of Activity

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.

LEARNING REPRESENTATIONS BY RECIRCULATION

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.

Zebrafish Behavioural Feeding Assay Old Data

Goodhill, Geoffrey (2020). Zebrafish Behavioural Feeding Assay Old Data. The University of Queensland. (Dataset) doi: 10.48610/8b5b1b7

Zebrafish feeding assay behavioural analysis

Goodhill, Geoffrey (2019). Zebrafish feeding assay behavioural analysis. The University of Queensland. (Dataset) doi: 10.48610/4565690

Zebrafish model of Fragile X syndrome neural imaging

Goodhill, Geoffreyg (2019). Zebrafish model of Fragile X syndrome neural imaging. The University of Queensland. (Dataset) doi: 10.48610/5e9ea88

Neural decoding of visual information in the zebrafish

Goodhill, Geoffrey (2018). Neural decoding of visual information in the zebrafish. The University of Queensland. (Dataset) doi: 10.48610/6b5bfe1