All Stories

  1. Visual Speech Recognition with Lightweight Psychologically Motivated Gabor Features

    Article • Entropy, December 2020, MDPI AG

    Professor Leslie S Smith

  2. Coding and Decoding Speech using a Biologically Inspired Coding System

    Article • December 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  3. Design and Characterization of a Micro-Fabricated Graphene-Based MEMS Microphone

    Article • IEEE Sensors Journal, September 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  4. A compact digital gamma-tone filter processor

    Article • Microprocessors and Microsystems, August 2016, Elsevier

    Professor Leslie S Smith

  5. Can Lionel Messi’s brain slow down time passing?

    Article • Chronobiology International, March 2016, Taylor & Francis

    Professor Leslie S Smith, Sajad Jafari

  6. Mapping the spatial distribution and activity of 226 Ra at legacy sites through Machine Learning interpretation of gamma-ray spectrometry data

    Article • The Science of The Total Environment, March 2016, Elsevier

    Professor Leslie S Smith

  7. A Power-Efficient Capacitive Read-Out Circuit With Parasitic-Cancellation for MEMS Cochlea Sensors

    Article • IEEE Transactions on Biomedical Circuits and Systems, February 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  8. Toward a neuromorphic microphone

    Article • Frontiers in Neuroscience, October 2015, Frontiers

    Professor Leslie S Smith

  9. Why sharing matters for electrophysiological data analysis

    Article • Brain Research Bulletin, October 2015, Elsevier

    Professor Leslie S Smith

  10. A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience

    Article • Neuroinformatics, August 2015, Springer Science + Business Media

    Professor Leslie S Smith, Victoria Hodge

  11. Remediating radium contaminated legacy sites: Advances made through machine learning in routine monitoring of “hot” particles

    Article • The Science of The Total Environment, July 2015, Elsevier

    Professor Leslie S Smith

  12. A biologically inspired onset and offset speech segmentation approach

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  13. A Bio-Realistic Analog CMOS Cochlea Filter With High Tunability and Ultra-Steep Roll-Off

    Article • IEEE Transactions on Biomedical Circuits and Systems, June 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  14. Development of a neural network approach to characterise 226Ra contamination at legacy sites using gamma-ray spectra taken from boreholes

    Article • Journal of Environmental Radioactivity, February 2015, Elsevier

    Professor Leslie S Smith

  15. Training and making calculations with mixed order hyper-networks

    Article • Neurocomputing, October 2014, Elsevier

    Professor Leslie S Smith

  16. Connectionist Models of Memory and Language (PLE: Memory)

    Article • April 2014, Taylor & Francis

    Professor Leslie S Smith

  17. An Analysis of the Local Optima Storage Capacity of Hopfield Network Based Fitness Function Models

    Article • January 2014, Springer Science + Business Media

    Professor Leslie S Smith

  18. On Improving the Classification Capability of Reservoir Computing for Arabic Speech Recognition

    Article • January 2014, Springer Science + Business Media

    Professor Leslie S Smith

  19. Semi-supervised Time Series Modeling for Real-Time Flux Domain Detection on Passive DNS Traffic

    Article • January 2014, Springer Science + Business Media

    Professor Leslie S Smith

  20. A floating active inductor based CMOS cochlea filter with high tunability and sharp cut-off

    Article • May 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  21. A novel approach combining recurrent neural network and support vector machines for time series classification

    Article • March 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  22. Bimaterial electromechanical systems for a biomimetical acoustic sensor

    Article • Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena, November 2012, American Vacuum Society

    Professor Leslie S Smith

  23. Creating, documenting and sharing network models

    Article • Network Computation in Neural Systems, September 2012, Taylor & Francis

    Professor Leslie S Smith

  24. A neurally inspired musical instrument classification system based upon the sound onset

    Article • The Journal of the Acoustical Society of America, June 2012, Acoustical Society of America (ASA)

    Professor Leslie S Smith

  25. A low-noise interface circuit for MEMS cochlea-mimicking acoustic sensors

    Article • May 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  26. Cells, Cell Abstractions, and Information Processing

    Article • January 2012, Springer Science + Business Media

    Professor Leslie S Smith

  27. Integral Biomathics

    Article • January 2012, Springer Science + Business Media

    Professor Leslie S Smith

  28. Perceptual Time, Perceptual Reality, and General Intelligence

    Article • January 2012, Springer Science + Business Media

    Professor Leslie S Smith

  29. Stream-based Hebbian Eigenfilter for real-time neuronal spike discrimination

    Article • BioMedical Engineering OnLine, January 2012, Springer Science + Business Media

    Professor Leslie S Smith

  30. A novel neural network ensemble architecture for time series forecasting

    Article • Neurocomputing, November 2011, Elsevier

    Professor Leslie S Smith

  31. Low frequency tantalum electromechanical systems for biomimetical applications

    Article • Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena, November 2011, American Vacuum Society

    Professor Leslie S Smith

  32. Memory efficient on-line streaming for multichannel spike train analysis

    Article • August 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  33. Biologically-inspired neural coding of sound onset for a musical sound classification task

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  34. Design of a spike event coded RGT microphone for neuromorphic auditory systems

    Article • May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  35. Neural Networks

    Article • January 2011, Springer Science + Business Media

    Professor Leslie S Smith

  36. A New Biology: A Modern Perspective on the Challenge of Closing the Gap between the Islands of Knowledge

    Article • January 2011, Springer Science + Business Media

    Professor Leslie S Smith

  37. CARMEN: Code analysis, Repository and Modeling for e-Neuroscience

    Article • Procedia Computer Science, January 2011, Elsevier

    Professor Leslie S Smith

  38. Events, Neural Systems and Time Series

    Article • January 2011, Springer Science + Business Media

    Professor Leslie S Smith

  39. Microelectromechanical systems for biomimetical applications

    Article • Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena, November 2010, American Vacuum Society

    Professor Leslie S Smith

  40. A neural network-based framework for the reconstruction of incomplete data sets

    Article • Neurocomputing, October 2010, Elsevier

    Professor Leslie S Smith

  41. A New Spike Detection Algorithm for Extracellular Neural Recordings

    Article • IEEE Transactions on Biomedical Engineering, April 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  42. Feature subset selection in large dimensionality domains

    Article • Pattern Recognition, January 2010, Elsevier

    Professor Leslie S Smith

  43. Neuromorphic Systems: Past, Present and Future

    Article • November 2009, Springer Science + Business Media

    Professor Leslie S Smith

  44. Brain inspired cognitive systems (BICS)

    Article • Neurocomputing, January 2009, Elsevier

    Professor Leslie S Smith

  45. Reconstruction of Cross-Sectional Missing Data Using Neural Networks

    Article • January 2009, Springer Science + Business Media

    Professor Leslie S Smith

  46. Neural network based pattern matching and spike detection tools and services — in the CARMEN neuroinformatics project

    Article • Neural Networks, October 2008, Elsevier

    Professor Leslie S Smith

  47. Adaptation of barn owl localization system with spike timing dependent plasticity

    Article • June 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  48. Determining ITDs Using Two Microphones on a Flat Panel During Onset Intervals With a Biologically Inspired Spike-Based Technique

    Article • IEEE Transactions on Audio Speech and Language Processing, November 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  49. A tool for synthesizing spike trains with realistic interference

    Article • Journal of Neuroscience Methods, January 2007, Elsevier

    Professor Leslie S Smith

  50. Brain inspired cognitive systems (BICS 2004)

    Article • Neurocomputing, October 2006, Elsevier

    Professor Leslie S Smith

  51. Smoothing and thresholding in neuronal spike detection

    Article • Neurocomputing, June 2006, Elsevier

    Professor Leslie S Smith

  52. Precision Constrained Stochastic Resonance in a Feedforward Neural Network

    Article • IEEE Transactions on Neural Networks, January 2005, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  53. Robust Sound Onset Detection Using Leaky Integrate-and-Fire Neurons With Depressing Synapses

    Article • IEEE Transactions on Neural Networks, September 2004, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  54. Using Beowulf clusters to speed up neural simulations

    Article • Trends in Cognitive Sciences, June 2002, Elsevier

    Professor Leslie S Smith

  55. Article • Analog Integrated Circuits and Signal Processing, January 2002, Springer Science + Business Media

    Professor Leslie S Smith

  56. Using Depressing Synapses for Phase Locked Auditory Onset Detection

    Article • January 2001, Springer Science + Business Media

    Professor Leslie S Smith

  57. NEUROMORPHIC HARDWARE

    Article • May 1998, World Scientific Pub Co Pte Lt

    Professor Leslie S Smith

  58. NEUROMORPHIC SYSTEMS AND THEORY

    Article • May 1998, World Scientific Pub Co Pte Lt

    Professor Leslie S Smith

  59. SENSORY NEUROMORPHIC SYSTEMS

    Article • May 1998, World Scientific Pub Co Pte Lt

    Professor Leslie S Smith

  60. Neuromorphic systems, neural models and silicon

    Article • May 1998, World Scientific Pub Co Pte Lt

    Professor Leslie S Smith

  61. Analogue VLSI Integrate and Fire Neural Network for Clustering Onset and Offset Signals in a Sound Segmentation System

    Article • May 1998, World Scientific Pub Co Pte Lt

    Professor Leslie S Smith

  62. Sound segmentation using onsets and offsets

    Article • Journal of New Music Research, March 1994, Taylor & Francis

    Professor Leslie S Smith

  63. A framework for neural net specification

    Article • IEEE Transactions on Software Engineering, July 1992, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  64. The principal components of natural images

    Article • Network Computation in Neural Systems, February 1992, Taylor & Francis

    Professor Leslie S Smith

  65. A Design Framework for Neural Nets

    Article • January 1992, Elsevier

    Professor Leslie S Smith

  66. Entropy and Generalization in Feedforward Nets

    Article • January 1992, Elsevier

    Professor Leslie S Smith

  67. The principal components of natural images

    Article • Network Computation in Neural Systems, January 1992, Taylor & Francis

    Professor Leslie S Smith, Peter Hancock

  68. Realistic neural nets need to learn iconic representations

    Article • Behavioral and Brain Sciences, September 1990, Cambridge University Press

    Professor Leslie S Smith, Peter Hancock

  69. Formal equivalence of Stent and Grossberg synaptic modification rules

    Article • Network Computation in Neural Systems, April 1990, Taylor & Francis

    Professor Leslie S Smith

  70. Formal equivalence of Stent and Grossberg synaptic modification rules

    Article • Network Computation in Neural Systems, January 1990, Taylor & Francis

    Professor Leslie S Smith, Peter Hancock

  71. A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith

  72. A new neural network and pole placement based adaptive composite controller

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Leslie S Smith