| Year |
Citation |
Score |
| 2017 |
Eglen SJ, Marwick B, Halchenko YO, Hanke M, Sufi S, Gleeson P, Silver RA, Davison AP, Lanyon L, Abrams M, Wachtler T, Willshaw DJ, Pouzat C, Poline JB. Toward standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience. 20: 770-773. PMID 28542156 DOI: 10.1038/Nn.4550 |
0.579 |
|
| 2016 |
Hull MJ, Soffe SR, Willshaw DJ, Roberts A. Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity. Plos Computational Biology. 12: e1004702. PMID 26824331 DOI: 10.1371/Journal.Pcbi.1004702 |
0.618 |
|
| 2016 |
Eglen S, Cutts C, Hjorth J, Sterratt D, Willshaw D. On a role for competitions in computational neuroscience F1000research. 5. DOI: 10.7490/F1000Research.1112004.1 |
0.69 |
|
| 2015 |
Hull MJ, Soffe SR, Willshaw DJ, Roberts A. Modelling the Effects of Electrical Coupling between Unmyelinated Axons of Brainstem Neurons Controlling Rhythmic Activity. Plos Computational Biology. 11: e1004240. PMID 25954930 DOI: 10.1371/Journal.Pcbi.1004240 |
0.621 |
|
| 2015 |
Willshaw DJ, Dayan P, Morris RG. Memory, modelling and Marr: a commentary on Marr (1971) 'Simple memory: a theory of archicortex'. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 370. PMID 25750246 DOI: 10.1098/rstb.2014.0383 |
0.375 |
|
| 2015 |
Hjorth JJ, Sterratt DC, Cutts CS, Willshaw DJ, Eglen SJ. Quantitative assessment of computational models for retinotopic map formation. Developmental Neurobiology. 75: 641-66. PMID 25367067 DOI: 10.1002/Dneu.22241 |
0.702 |
|
| 2014 |
Willshaw DJ, Sterratt DC, Teriakidis A. Analysis of local and global topographic order in mouse retinocollicular maps. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 1791-805. PMID 24478361 DOI: 10.1523/JNEUROSCI.5602-12.2014 |
0.751 |
|
| 2013 |
Hull MJ, Willshaw DJ. morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python. Frontiers in Neuroinformatics. 7: 47. PMID 24478690 DOI: 10.3389/fninf.2013.00047 |
0.449 |
|
| 2013 |
Sterratt DC, Lyngholm D, Willshaw DJ, Thompson ID. Standard anatomical and visual space for the mouse retina: computational reconstruction and transformation of flattened retinae with the Retistruct package. Plos Computational Biology. 9: e1002921. PMID 23468609 DOI: 10.1371/Journal.Pcbi.1002921 |
0.753 |
|
| 2012 |
Hull M, Willshaw D, Roberts A. The role of electrical coupling in the decision to initiate swimming in young frog tadpoles Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P58 |
0.666 |
|
| 2012 |
Hull M, Willshaw D. A high-level, simulator independent, Python library for simulating small networks of multicompartmental neurons Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P13 |
0.503 |
|
| 2011 |
Sterratt D, Graham B, Gillies A, Willshaw D. Principles of computational modelling in neuroscience Principles of Computational Modelling in Neuroscience. 1-390. DOI: 10.1017/CBO9780511975899 |
0.764 |
|
| 2009 |
Hennig MH, Adams C, Willshaw D, Sernagor E. Early-stage waves in the retinal network emerge close to a critical state transition between local and global functional connectivity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 1077-86. PMID 19176816 DOI: 10.1523/Jneurosci.4880-08.2009 |
0.667 |
|
| 2009 |
Greve A, Sterratt DC, Donaldson DI, Willshaw DJ, van Rossum MC. Optimal learning rules for familiarity detection. Biological Cybernetics. 100: 11-9. PMID 19002710 DOI: 10.1007/s00422-008-0275-4 |
0.747 |
|
| 2009 |
Hennig MH, Adams C, Willshaw D, Sernagor E. Spontaneous activity in the developing retina emerges at a critical state between local and global functional connectivity Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P67 |
0.64 |
|
| 2008 |
Sterratt DC, Willshaw D. Inhomogeneities in heteroassociative memories with linear learning rules. Neural Computation. 20: 311-44. PMID 18047408 DOI: 10.1162/neco.2007.08-06-301 |
0.764 |
|
| 2007 |
Longden KD, Willshaw DJ. Asynchronous inputs and NMDA conductances predict excitatory responses in the cortical-cA1 pathway of the hippocampus. Network (Bristol, England). 18: 299-325. PMID 18360937 DOI: 10.1080/09548980701587100 |
0.702 |
|
| 2007 |
Gillies A, Willshaw D. Neuroinformatics and modeling of the basal ganglia: bridging pharmacology and physiology. Expert Review of Medical Devices. 4: 663-72. PMID 17850200 DOI: 10.1586/17434440.4.5.663 |
0.551 |
|
| 2007 |
Aguiar P, Willshaw D. Simulating large and heterogeneous networks of spiking neurons with SpiNet Bmc Neuroscience. 8: 9. DOI: 10.1186/1471-2202-8-S2-P9 |
0.342 |
|
| 2006 |
Steuber V, Willshaw D, Van Ooyen A. Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells. Network (Bristol, England). 17: 173-91. PMID 16818396 DOI: 10.1080/09548980500520328 |
0.698 |
|
| 2006 |
Kronhaus DM, Willshaw DJ. The cingulate as a catalyst region for global dysfunction: a dynamical modelling paradigm. Cerebral Cortex (New York, N.Y. : 1991). 16: 1212-24. PMID 16251505 DOI: 10.1093/cercor/bhj062 |
0.758 |
|
| 2006 |
Gillies A, Willshaw D. Membrane channel interactions underlying rat subthalamic projection neuron rhythmic and bursting activity. Journal of Neurophysiology. 95: 2352-65. PMID 16148272 DOI: 10.1152/jn.00525.2005 |
0.436 |
|
| 2004 |
Gillies A, Willshaw D. Models of the subthalamic nucleus. The importance of intranuclear connectivity. Medical Engineering & Physics. 26: 723-32. PMID 15564109 DOI: 10.1016/j.medengphy.2004.06.003 |
0.517 |
|
| 2004 |
Steuber V, Willshaw D. A biophysical model of synaptic delay learning and temporal pattern recognition in a cerebellar Purkinje cell. Journal of Computational Neuroscience. 17: 149-64. PMID 15306737 DOI: 10.1023/B:JCNS.0000037678.26155.b5 |
0.602 |
|
| 2003 |
Eckersley P, Egan GF, Amari S, Beltrame F, Bennett R, Bjaalie JG, Dalkara T, De Schutter E, Gonzalez C, Grillner S, Herz A, Hoffmann KP, Jaaskelainen IP, Koslow SH, Lee SY, ... ... Willshaw D, et al. Neuroscience data and tool sharing: a legal and policy framework for neuroinformatics. Neuroinformatics. 1: 149-65. PMID 15046238 DOI: 10.1007/S12021-003-0002-1 |
0.506 |
|
| 2002 |
Amari S, Beltrame F, Bjaalie JG, Dalkara T, De Schutter E, Egan GF, Goddard NH, Gonzalez C, Grillner S, Herz A, Hoffmann KP, Jaaskelainen I, Koslow SH, Lee SY, Matthiessen L, ... ... Willshaw D, et al. Neuroinformatics: the integration of shared databases and tools towards integrative neuroscience. Journal of Integrative Neuroscience. 1: 117-28. PMID 15011281 DOI: 10.1142/S0219635202000128 |
0.495 |
|
| 2002 |
Eglen SJ, Willshaw DJ. Influence of cell fate mechanisms upon retinal mosaic formation: a modelling study. Development (Cambridge, England). 129: 5399-408. PMID 12403711 DOI: 10.1242/dev.00118 |
0.599 |
|
| 2002 |
Gillies A, Willshaw D, Li Z. Subthalamic-pallidal interactions are critical in determining normal and abnormal functioning of the basal ganglia. Proceedings. Biological Sciences / the Royal Society. 269: 545-51. PMID 11916469 DOI: 10.1098/rspb.2001.1817 |
0.469 |
|
| 2002 |
Longden K, Willshaw D. An evaluation of recurrent feedforward memory networks and their relevance to the hippocampus Neurocomputing. 44: 527-531. DOI: 10.1016/S0925-2312(02)00413-7 |
0.722 |
|
| 2000 |
van Ooyen A, Willshaw DJ. Development of nerve connections under the control of neurotrophic factors: parallels with consumer-resource systems in population biology. Journal of Theoretical Biology. 206: 195-210. PMID 10966757 DOI: 10.1006/jtbi.2000.2114 |
0.52 |
|
| 2000 |
Eglen SJ, van Ooyen A, Willshaw DJ. Lateral cell movement driven by dendritic interactions is sufficient to form retinal mosaics. Network (Bristol, England). 11: 103-18. PMID 10735531 |
0.692 |
|
| 2000 |
Van Ooyen A, Willshaw DJ, Ramakers GJA. Influence of dendritic morphology on axonal competition Neurocomputing. 32: 255-260. DOI: 10.1016/S0925-2312(00)00172-7 |
0.474 |
|
| 1999 |
Reid A, Willshaw D. Modeling prefrontal cortex delay cells: the role of dopamine in schizophrenia. Progress in Brain Research. 121: 351-73. PMID 10551036 DOI: 10.1016/S0079-6123(08)63083-6 |
0.316 |
|
| 1999 |
van Ooyen A, Willshaw DJ. Competition for neurotrophic factor in the development of nerve connections. Proceedings. Biological Sciences / the Royal Society. 266: 883-92. PMID 10380678 DOI: 10.1098/rspb.1999.0719 |
0.519 |
|
| 1999 |
van Ooyen A, Willshaw DJ. Poly- and mononeuronal innervation in a model for the development of neuromuscular connections. Journal of Theoretical Biology. 196: 495-511. PMID 10036202 DOI: 10.1006/jtbi.1998.0849 |
0.514 |
|
| 1999 |
Graham B, Willshaw D. Probabilistic synaptic transmission in the associative net. Neural Computation. 11: 117-37. PMID 9950726 DOI: 10.1162/089976699300016845 |
0.416 |
|
| 1999 |
Ijspeert AJ, Hallam J, Willshaw D. Evolving Swimming Controllers for a Simulated Lamprey with Inspiration from Neurobiology Adaptive Behavior. 7: 151-172. DOI: 10.1177/105971239900700202 |
0.703 |
|
| 1999 |
Willshaw D. Changes at Network: Computation in Neural Systems Network: Computation in Neural Systems. 10. DOI: 10.1088/0954-898X_10_4_001 |
0.31 |
|
| 1999 |
Steuber V, Willshaw DJ. Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns Neurocomputing. 26: 271-276. DOI: 10.1016/S0925-2312(99)00021-1 |
0.598 |
|
| 1999 |
Westermann G, Willshaw D, Penke M. Constructivist neural network model of German verb inflection in agrammatic aphasia Iee Conference Publication. 2: 916-921. |
0.502 |
|
| 1998 |
Gillies AJ, Willshaw DJ. A massively connected subthalamic nucleus leads to the generation of widespread pulses. Proceedings. Biological Sciences / the Royal Society. 265: 2101-9. PMID 9842737 DOI: 10.1098/rspb.1998.0546 |
0.48 |
|
| 1997 |
Willshaw D, Hallam J, Gingell S, Lau SL. Marr's theory of the neocortex as a self-organizing neural network. Neural Computation. 9: 911-36. PMID 9161025 DOI: 10.1162/Neco.1997.9.4.911 |
0.681 |
|
| 1997 |
Graham B, Willshaw D. Capacity and information efficiency of the associative net Network: Computation in Neural Systems. 8: 35-54. DOI: 10.1088/0954-898X_8_1_005 |
0.413 |
|
| 1997 |
Graham B, Willshaw D. A model of clipped Hebbian learning in a neoeortical pyramidal cell Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 152-156. |
0.421 |
|
| 1997 |
Van Ooyen A, Willshaw DJ. Competition amongst neurons for neurotrophins Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 140-144. |
0.471 |
|
| 1997 |
Steuber V, Willshaw DJ. How a single purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 116-120. |
0.561 |
|
| 1996 |
Graham B, Willshaw D. Information efficiency of the associative net at arbitrary coding rates Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1112: 35-40. DOI: 10.1007/3-540-61510-5_10 |
0.329 |
|
| 1995 |
Goodhill GJ, Simmen MW, Willshaw DJ. 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: 265-80. PMID 8577826 DOI: 10.1098/Rstb.1995.0068 |
0.532 |
|
| 1995 |
Graham B, Willshaw D. Improving recall from an associative memory Biological Cybernetics. 72: 337-346. DOI: 10.1007/Bf00202789 |
0.457 |
|
| 1994 |
Simmen MW, Goodhill GJ, Willshaw DJ. Scaling and brain connectivity. Nature. 369: 448-50. PMID 8202134 DOI: 10.1038/369448B0 |
0.489 |
|
| 1994 |
Goodhill GJ, Willshaw DJ. Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation Neural Computation. 6: 615-621. DOI: 10.1162/Neco.1994.6.4.615 |
0.557 |
|
| 1994 |
Willshaw D, Dennett D, Partridge D. Non-Symbolic Approaches To Artificial Intelligence And The Mind. Discussion Philosophical Transactions of the Royal Society A. 349: 87-102. DOI: 10.1098/Rsta.1994.0115 |
0.33 |
|
| 1991 |
Dayan P, Willshaw DJ. Optimising synaptic learning rules in linear associative memories. Biological Cybernetics. 65: 253-65. PMID 1932282 DOI: 10.1007/BF00206223 |
0.409 |
|
| 1990 |
Willshaw D, Dayan P. Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down Neural Computation. 2: 85-93. DOI: 10.1162/neco.1990.2.1.85 |
0.469 |
|
| 1990 |
Goodhill GJ, Willshaw DJ. Application of the elastic net algorithm to the formation of ocular dominance stripes Network: Computation in Neural Systems. 1: 41-59. DOI: 10.1088/0954-898X/1/1/004 |
0.518 |
|
| 1986 |
Willshaw DJ, Gaze RM. The discontinuous visual projections on the Xenopus optic tectum following regeneration after unilateral nerve section. Journal of Embryology and Experimental Morphology. 94: 121-37. PMID 3760751 |
0.532 |
|
| 1985 |
Taylor JS, Willshaw DJ, Gaze RM. The distribution of fibres in the optic tract after contralateral translocation of an eye in Xenopus. Journal of Embryology and Experimental Morphology. 85: 225-38. PMID 3989450 |
0.554 |
|
| 1983 |
Willshaw DJ, Fawcett JW, Gaze RM. The visuotectal projections made by Xenopus 'pie slice' compound eyes. Journal of Embryology and Experimental Morphology. 74: 29-45. PMID 6886599 |
0.552 |
|
| 1982 |
Fawcett JW, Willshaw DJ. Compound eyes project stripes on the optic tectum in Xenopus. Nature. 296: 350-1. PMID 7063032 DOI: 10.1038/296350A0 |
0.436 |
|
| 1970 |
Longuet-Higgins HC, Willshaw DJ, Buneman OP. Theories of associative recall. Quarterly Reviews of Biophysics. 3: 223-44. PMID 4915541 DOI: 10.1017/S0033583500004583 |
0.456 |
|
| 1970 |
Willshaw DJ, Longuet-Higgins HC, Buneman OP. Models for the brain Nature. 225: 178. DOI: 10.1038/225178a0 |
0.503 |
|
| 1969 |
Willshaw DJ, Buneman OP, Longuet-Higgins HC. Non-holographic associative memory. Nature. 222: 960-2. PMID 5789326 DOI: 10.1038/222960a0 |
0.481 |
|
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