Geoffrey J. Goodhill

Jiajia Yuan, Stanley Chan, Duncan Mortimer, Huyen Nguyen, Geoffrey J. Goodhill: Optimality and Saturation in Axonal Chemotaxis. Neural Computation 25(4): 833-853 (2013)

Jonathan J. Hunt, Michael R. Ibbotson, Geoffrey J. Goodhill: Sparse Coding on the Spot: Spontaneous Retinal Waves Suffice for Orientation Selectivity. Neural Computation 24(9): 2422-2433 (2012)

Hugh D. Simpson, Geoffrey J. Goodhill: A simple model can unify a broad range of phenomena in retinotectal map development. Biological Cybernetics 104(1-2): 9-29 (2011)

Duncan Mortimer, Peter Dayan, Kevin Burrage, Geoffrey J. Goodhill: Bayes-Optimal Chemotaxis. Neural Computation 23(2): 336-373 (2011)

Elizabeth M. Forbes, Jonathan J. Hunt, Geoffrey J. Goodhill: The Combinatorics of Neurite Self-Avoidance. Neural Computation 23(11): 2746-2769 (2011)

Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill: Generalised elastic nets. CoRR abs/1108.2840 (2011)

Clare E. Giacomantonio, Michael R. Ibbotson, Geoffrey J. Goodhill: The influence of restricted orientation rearing on map structure in primary visual cortex. NeuroImage 52(3): 875-883 (2010)

Clare E. Giacomantonio, Geoffrey J. Goodhill: A Boolean Model of the Gene Regulatory Network Underlying Mammalian Cortical Area Development. PLoS Computational Biology 6(9) (2010)

Jonathan J. Hunt, Clare E. Giacomantonio, Huajin Tang, Duncan Mortimer, Sajjida Jaffer, Vasily Vorobyov, Geoffery Ericksson, Frank Sengpiel, Geoffrey J. Goodhill: Natural scene statistics and the structure of orientation maps in the visual cortex. NeuroImage 47(1): 157-172 (2009)

Miguel Á. Carreira-Perpiñán, Peter Dayan, Geoffrey J. Goodhill: Differential Priors for Elastic Nets. IDEAL 2005: 335-342

Geoffrey J. Goodhill, Ming Gu, Jeffrey S. Urbach: Predicting Axonal Response to Molecular Gradients with a Computational Model of Filopodial Dynamic. Neural Computation 16(11): 2221-2243 (2004)

Geoffrey J. Goodhill: A Theoretical Model of Axon Guidance by the Robo Code. Neural Computation 15(3): 549-564 (2003)

Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill: Are Visual Cortex Maps Optimized for Coverage? Neural Computation 14(7): 1545-1560 (2002)

Karin Haese, Geoffrey J. Goodhill: Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps. Neural Computation 13(3): 595-619 (2001)

Andrei Cimponeriu, Geoffrey J. Goodhill: Dynamics of cortical map development in the elastic net model. Neurocomputing 32-33: 83-90 (2000)

Jeffrey S. Urbach, Geoffrey J. Goodhill: Limitations on detection of gradients of diffusible chemicals by axons. Neurocomputing 26-27: 39-43 (1999)

Geoffrey J. Goodhill, Herwig Baier: Axon Guidance: Stretching Gradients to the Limit. Neural Computation 10(3): 521-527 (1998)

Geoffrey J. Goodhill, Terrence J. Sejnowski: A Unifying Objective Function for Topographic Mappings. Neural Computation 9(6): 1291-1303 (1997)

Geoffrey J. Goodhill: A Mathematical Model of Axon Guidance by Diffusible Factors. NIPS 1997

Geoffrey J. Goodhill: Gradients for Retinotectal Mapping. NIPS 1997

Geoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski: Optimizing Cortical Mappings. NIPS 1995: 330-336

Geoffrey J. Goodhill, Harry G. Barrow: The Role of Weight Normalization in Competitive Learning. Neural Computation 6(2): 255-269 (1994)

Geoffrey J. Goodhill, David J. Willshaw: Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation. Neural Computation 6(4): 615-621 (1994)

Geoffrey J. Goodhill: Topography and ocular dominance: a model exploring positive correlations. Biological Cybernetics 69(2): 109-118 (1993)

Geoffrey J. Goodhill: Topography and Ocular Dominance with Positive Correlations. NIPS 1992: 985-992

Peter Dayan, Geoffrey J. Goodhill: Perturbing Hebbian Rules. NIPS 1991: 19-26