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Alan F. Murray: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Patrice Fleury, Robin Woodburn, Alan F. Murray
    Matching analogue hardware with applications using the Products of Experts algorithm. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:63-68 [Conf]
  2. Peter J. Edwards, Alan F. Murray
    Committee formation for reliable and accurate neural prediction in industry. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:141-146 [Conf]
  3. Peter J. Edwards, Alan F. Murray
    Weight saliency regularization in augmented networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:261-266 [Conf]
  4. Peter J. Edwards, Alan F. Murray, Georgios Papadopoulos, A. Robin Wallace, John Barnard
    The application of neural networks to the paper-making industry. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:69-74 [Conf]
  5. Georgios Papadopoulos, Peter J. Edwards, Alan F. Murray
    Confidence estimation methods for neural networks : a practical comparison. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:75-80 [Conf]
  6. Leena N. Patel, Alan F. Murray, John Hallam
    Evolving multi-segment 'super-lamprey' CPG's for increased swimming control. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:461-466 [Conf]
  7. Fleury Patrice, Bofill-i-Petit Adria, Alan Murray
    Neural Hardware: beyond ones and zeros. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:396-404 [Conf]
  8. Tong Boon Tang, Alan F. Murray
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM). [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:197-202 [Conf]
  9. Zhijun Yang, Alan Murray
    A biologically plausible neuromorphic system for object recognition and depth analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:157-162 [Conf]
  10. Hsin Chen, Alan F. Murray
    A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:358-363 [Conf]
  11. Patrice Fleury, Alan F. Murray, H. Martin Reekie
    High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:426-431 [Conf]
  12. Juan Huo, Alan Murray
    The Role of Membrane Threshold and Rate in STDP Silicon Neuron Circuit Simulation. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:1009-1014 [Conf]
  13. T. R. Mundon, Alan F. Murray, John Hallam, Leena N. Patel
    Causal Neural Control of a Latching Ocean Wave Point Absorber. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:423-429 [Conf]
  14. Leena N. Patel, John Hallam, Alan F. Murray
    Improved, Simpler Neural Controllers for Lamprey Swimming. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:445-450 [Conf]
  15. Tong Boon Tang, Hsin Chen, Alan F. Murray
    Adaptive Stochastic Classifier for Noisy pH-ISFET Measurements. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:638-645 [Conf]
  16. Adria Bofill-i-Petit, Alan F. Murray
    Learning temporal correlations in biologically-inspired aVLSI. [Citation Graph (0, 0)][DBLP]
    ISCAS (5), 2003, pp:817-820 [Conf]
  17. Katherine L. Cameron, Alan F. Murray
    Can spike timing dependent plasticity compensate for process mismatch in neuromorphic analogue VLSI? [Citation Graph (0, 0)][DBLP]
    ISCAS (5), 2004, pp:748-751 [Conf]
  18. Patrice Fleury, Alan F. Murray
    Mixed-signal VLSI implementation of the Products of Experts' contrastive divergence learning scheme. [Citation Graph (0, 0)][DBLP]
    ISCAS (5), 2003, pp:653-656 [Conf]
  19. Nor H. Hamid, Alan F. Murray, David Laurenson, Scott Roy, Binjie Cheng
    Probabilistic computing with future deep sub-micrometer devices: a modelling approach. [Citation Graph (0, 0)][DBLP]
    ISCAS (3), 2005, pp:2510-2513 [Conf]
  20. A. J. Holmes, Stephen Churcher, J. Hajto, Alan F. Murray, M. J. Rose
    Design of Analogue Synapse Circuits using Non-Volatile a-Si:H Memory Devices [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:351-354 [Conf]
  21. Geoffrey B. Jackson, Alister Hamilton, Alan F. Murray
    Pulse Stream VLSI Neural Systems: Into Robotics. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:375-378 [Conf]
  22. Alan F. Murray, Igor Aleksander, Andreas G. Andreou, Misha Mahowald
    Analogue and Digital Neural VLSI: Duet or Duel? [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:285-288 [Conf]
  23. Robin Woodburn, H. Martin Reekie, Alan F. Murray
    Pulse-Stream Circuits for On-Chip Learning in Analogue VLSI Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:103-106 [Conf]
  24. Alan F. Murray, Peter B. Denyer, David S. Renshaw
    Self-Testing in Bit Serial VLSI Parts: High Coverage at Low Cost. [Citation Graph (0, 0)][DBLP]
    ITC, 1983, pp:260-268 [Conf]
  25. Emma Braithwaite, Jimmy Dripps, Andrew Lyon, Alan F. Murray
    Classification of the Onset of Respiratory Difficulties in Ventilation Assisted Neonates. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:942-951 [Conf]
  26. Adria Bofill-i-Petit, Alan F. Murray
    Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  27. Michael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han, H. Martin Reekie
    Pulse-Firing Neural Chips for Hundreds of Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:785-792 [Conf]
  28. Hsin Chen, Patrice Fleury, Alan F. Murray
    Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  29. Stephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, H. Martin Reekie
    Generic Analog Neural Computation - The Epsilon Chip. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:773-780 [Conf]
  30. Alister Hamilton, Alan F. Murray, Lionel Tarassenko
    Programmable Analog Pulse-Firing Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1988, pp:671-677 [Conf]
  31. A. J. Holmes, Alan F. Murray, Stephen Churcher, J. Hajto, M. J. Rose
    Pulsestream Synapses with Non-Volatile Analogue Amorphous-Silicon Memories. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:763-769 [Conf]
  32. Geoffrey B. Jackson, Alan F. Murray
    Competence Acquisition in an Autonomous Mobile Robot using Hardware Neural Techniques. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:1031-1037 [Conf]
  33. Alan F. Murray, Peter J. Edwards
    Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:491-498 [Conf]
  34. Alan F. Murray, Anthony V. W. Smith, Zoe F. Butler
    Bit-Serial Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1987, pp:573-583 [Conf]
  35. Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan F. Murray
    Real-Time Autonomous Robot Navigation Using VLSI Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:422-428 [Conf]
  36. Peter J. Edwards, Alan F. Murray
    A Study of Early Stopping and Model Selection Applied to the Papermaking Industry. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2000, v:10, n:1, pp:9-18 [Journal]
  37. Peter J. Edwards, Alan F. Murray
    Analogue Synaptic Noise - Implications And Learning Improvements. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1993, v:4, n:4, pp:427-433 [Journal]
  38. Peter J. Edwards, Alan F. Murray
    Can deterministic penalty terms model the effects of synaptic weight noise on network fault-tolerance? [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1995, v:6, n:4, pp:401-416 [Journal]
  39. Alister Hamilton, Stephen Churcher, Peter J. Edwards, Geoffrey B. Jackson, Alan F. Murray, H. Martin Reekie
    Pulse Stream Vlsi Circuits And Systems: The Epsilon Neural Network Chipset. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1993, v:4, n:4, pp:395-405 [Journal]
  40. Alan F. Murray
    Analogue VLSI for Probabilistic Networks and Spike-Time Computation. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:1, pp:23-32 [Journal]
  41. Alan F. Murray, Robin Woodburn
    The Prospects for Analogue Neural VLSI. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:5-6, pp:559-579 [Journal]
  42. Mark J. L. Orr, John Hallam, Alan F. Murray, Tom Leonard
    Assessing RBF Networks Using DELVE. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2000, v:10, n:5, pp:397-415 [Journal]
  43. Mark J. L. Orr, John Hallam, Kunio Takezawa, Alan F. Murray, Seishi Ninomiya, Mari Oide, Tom Leonard
    Combining Regression Trees and Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2000, v:10, n:6, pp:453-465 [Journal]
  44. Zhijun Yang, Katherine L. Cameron, Alan F. Murray, Vasin Boonsobhak
    An Adaptive Visual Neuronal Model Implementing Competitive, Temporally Asymmetric Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2006, v:16, n:3, pp:151-162 [Journal]
  45. Alan F. Murray
    Analog VLSI and multi-layer perceptrons - Accuracy, noise and on-chip learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1992, v:4, n:4, pp:301-310 [Journal]
  46. Zhijun Yang, Alan F. Murray
    An artificial early visual model adopting spike-timing-dependent plasticity. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:1904-1911 [Journal]
  47. Andrew J. Myles, Alan F. Murray, A. Robin Wallace, John Barnard, Gordon Smith
    Estimating MLP Generalisation Ability without a Test Set using Fast, Approximate Leave-one-out Cross-validation. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1997, v:5, n:3, pp:134-151 [Journal]
  48. Peter J. Edwards, Alan F. Murray
    Towards Optimally Distributed Computation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:4, pp:987-1005 [Journal]
  49. Alan F. Murray
    Novelty detection using products of simple experts--a potential architecture for embedded systems. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:9, pp:1257-1264 [Journal]
  50. Katherine L. Cameron, Alan F. Murray, S. Collins
    Spike timing dependent adaptation for mismatch compensation. [Citation Graph (0, 0)][DBLP]
    ISCAS, 2006, pp:- [Conf]
  51. Tong Boon Tang, Alan F. Murray
    Adaptive sensor modelling and classification using a continuous restricted Boltzmann machine (CRBM). [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1198-1206 [Journal]
  52. Leena N. Patel, Alan F. Murray, John Hallam
    Super-lampreys and wave energy: Optimised control of artificially-evolved, simulated swimming lamprey. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1139-1154 [Journal]

  53. Rapid evaluation and evolution of neural models using graphics card hardware. [Citation Graph (, )][DBLP]


  54. Deterministic Coincidence Detection and Adaptation Via Delayed Inputs. [Citation Graph (, )][DBLP]


  55. Synaptic Rewiring for Topographic Map Formation. [Citation Graph (, )][DBLP]


  56. Self-organisation of Gait Pattern Transition - An Efficient Approach to Implementing Animal Gaits and Gait Transitions. [Citation Graph (, )][DBLP]


  57. A Biologically Inspired Neural CPG for Sea Wave Conditions/Frequencies. [Citation Graph (, )][DBLP]


  58. Adaptation of barn owl localization system with spike timing dependent plasticity. [Citation Graph (, )][DBLP]


  59. Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver. [Citation Graph (, )][DBLP]


  60. Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl. [Citation Graph (, )][DBLP]


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