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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 222   50 Cited 51 times in Scopus51 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   7 Cited 7 times in Scopus7 0
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 65   6 Cited 7 times in Scopus7 1
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: e1003005.1-e1003005.17. doi:10.1371/journal.pcbi.1003005 19   3 Cited 3 times in Scopus3 3