- A tool for synthesizing spike trains with realistic interference
- Sound Signal Statistics Leslie S Smith, Department of Computing Science and Maths, University of Stirling,
- Testing spike detection and sorting algorithms using synthesized noisy spike trains Leslie Smith, Dept of Computing Science and Maths, University of Stirling, Stirling FK9 4LA, Scotland
- Neuromorphic Systems: past, present and future Leslie S. Smith
- Extracting Features from the Shortterm Time Structure of Cochlear
- Position Paper: Processing sound for interpretation. Dr. Leslie S. Smith
- Manual for the Noisy Spike Generator MATLAB Software: version 1.1, released 16 June 2006
- H:\Research\Proposals\grandchallenges\artificial_sensing.doc -1 -Grand Challenges: Building a synthetic sensory-motor system
- An extracellular signal is the sum of electrical signals from the neurons surrounding it. At any instant a set of neurons fires: some of these are relevant to the task under study whereas the rest of the neurons are not related to this task (known as
- Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons
- Analogue VLSI leaky integrateandfire neurons and their use in a sound analysis system.
- Adding lateral inhibition to a simple feedforward network enables it to perform exclusive--or.
- IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL.X, NO. XX, XXXXXXXX 2003 1 Robust Sound Onset Detection using Leaky
- Using IIDs to Estimate Sound Source Direction Leslie S. Smith
- GC4: Building Brains ISLI: Grand Challenges 2
- AISB 1993 Poster Summary Neural Networks, Free Association, and Errors
- Detecting and sorting of spikes from extracellular recordings is a challenging task as the electrode records signal from a huge number of surrounded neurons at a time where the spikes
- Neuron 1 Documentation. Program version 0.56 (1.0) started Jan 20 2008.
- Neuronal computing or computational neuroscience: brains vs. computers
- Copyright 2003-4 Leslie Edinburgh May 2004 1
- Journal of Neuroscience Methods 159 (2007) 170180 A tool for synthesizing spike trains with realistic interference
- Sound feature detection using leaky integrate-and-fire neurons
- Neurocomputing ] (]]]]) ]]]]]] Smoothing and thresholding in neuronal spike detection
- Adaptation of Barn Owl Localization System with Spike Timing Dependent Plasticity
- ISSN 0968-0640 Microphone
- On the Explanation of Mind John Mc Geever
- Spiking neural network simulator: User's Guide Version 0.55: December 7 2004
- Using depressing synapses for phase locked auditory onset detection
- Cepstrum of Bispectrum Spike Detection applied to Extracellular Signals with Concurrent Intracellular Signals
- Artificial general intelligence: an organism and level based position
- Testing spike detection techniques using synthetic data. 319.9 Abstract: Translating extracellular recordings into sets of spike trains requires spike detection and
- ISSC 2007, Derry, Sept 13-14 Finding events in noisy signals
- Slide 1BICS, Lesvos, October 2006. Neuroinformatics
- Implementing neural models in silicon Leslie S. Smith,
- ASA 2005 Vancouver Onsets, autocorrelation
- Towards robot audition Leslie S. Smith
- Copyright 2003 LeslieCopyright 2003 Leslie Atlanta Seminar April 2003Atlanta Seminar April 2003 SlideSlide 11
- Content based searching of digital data. Leslie Smith, David Cairns, Department of Computing Science and Mathematics, and Kevin Swingler,
- A tool for generating realistic noisy spike Leslie S. Smith and Nhamoinesu Mtetwa a
- Neuron 1 Documentation. Program version 0.57 (1.0) Last updated May 19 2008.
- Cost minimisation and Reward maximisation. A neuromodulating minimal disturbance system using
- Precision constrained stochastic resonance in a feed forward neural network
- The CARMEN e-Science pilot project: Neuroinformatics work packages.
- Copyright 2003 LeslieCopyright 2003 Leslie ASA 2003 NashvilleASA 2003 Nashville SlideSlide 11
- Poster presented at the BSA short papers meeting, Sept 27-28, 1995, Oxford, UK; a version of this will appear in the British Journal of Audiology.
- A neurally motivated technique for voicing detection in speech. L.S. Smith, Centre for Cognitive and Computational Neuroscience, Department of
- Using an Onset-based Representation for Sound Segmentation Leslie S. Smith
- Neural Networks, Free Association, and Errors Dr. Leslie Smith
- Adding lateral inhibition to a simple feedforward network enables it to perform exclusive{or.
- A New Biology: A Modern Perspective on the Challenge of Closing the Gap between the Islands of Knowledge
- Events, Neural Systems and Time Series Leslie Smith1
- Our reference: NEUCOM 12341 P-authorquery-vx AUTHOR QUERY FORM
- Memory Efficient On-Line Streaming for Multichannel Spike Train Bo Yu, Terrence Mak, Leslie Smith, Yihe Sun, Alex Yakovlev and Chi-Sang Poon
- Biologically-inspired neural coding of sound onset for a musical sound classification task
- Am I spikes over time? Leslie Smith
