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NTIS 바로가기Neural networks : the official journal of the International Neural Network Society, v.23 no.7, 2010년, pp.819 - 835
Wysoski, S.G. (Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, 1051 Auckland, New Zealand) , Benuskova, L. , Kasabov, N.
This paper presents a new modular and integrative sensory information system inspired by the way the brain performs information processing, in particular, pattern recognition. Spiking neural networks are used to model human-like visual and auditory pathways. This bimodal system is trained to perform...
Abeles 1982 Local cortical circuits: an electrophysiological study
Journal of Neuroscience Methods Abeles 107 141 2001 10.1016/S0165-0270(01)00364-8 Detecting precise firing sequences in experimental data
EURASIP Journal on Applied Signal Processing Bimbot 4 430 2004 10.1155/S1110865704310024 A tutorial on text-independent speaker verification
IEEE Transactions on Pattern Analysis and Machine Intelligence Brunelli 17 10 955 1995 10.1109/34.464560 Person identification using multiple cues
Cerebral Cortex Calvert 11 1110 2001 10.1093/cercor/11.12.1110 Crossmodal processing in the human brain: insights from functional neuroimaging studies
Chevallier, S., Paugam-Moisy, H., & Lemaitre, F. (2005). Distributed processing for modelling real-time multimodal perception in a virtual robot. In International multi-conference parallel and distributed computing and networks (pp. 393-398).
IEEE Transactions on Systems, Man and Cybernetics, Part B Chibelushi 29 6 902 1999 10.1109/3477.809043 Adaptive classifier integration for robust pattern recognition
IEEE Transactions on Multimedia Chibelushi 4 1 23 2002 10.1109/6046.985551 A review of speech-based bimodal recognition
Crepet, A., Paugam-Moisy, H., Reynaud, E., & Puzenat, D. (2000). A modular neural model for binding several modalities. In International conference on artificial intelligence (pp. 921-928).
Neurocomputing Delorme 26-27 989 1999 10.1016/S0925-2312(99)00095-8 SpikeNet: a simulator for modeling large networks of integrate and fire neurons
Neurocomputing Delorme 38 2001 Networks of integrate-and-fire neurons using Rank Order Coding
Neural Networks Delorme 14 795 2001 10.1016/S0893-6080(01)00049-1 Face identification using one spike per neuron: resistance to image degradation
British Journal of Psychology Ellis 88 143 1997 10.1111/j.2044-8295.1997.tb02625.x Intra- and inter-modal repetition priming of familiar faces and voices
Behavioural Processes Eriksson 73 358 2006 10.1016/j.beproc.2006.08.005 Learning of auditory equivalence classes for vowels by rats
Fukushima 267 1982 Competition and cooperation in neural nets Neocognitron: a self-organizing neural network model for a mechanism of visual pattern recognition
Gallant 1995 Neural network learning and expert systems
Ganchev, T. (2005). Speaker recognition. Ph.D. thesis. Dept. of Electrical and Computer Engineering, University of Patras, Greece.
Gerstner 2002 Spiking neuron models
Journal of Neuroscience Ghazanfar 25 5004 2005 10.1523/JNEUROSCI.0799-05.2005 Multisensory integration of dynamic faces and voices in rhesus monkey auditory cortex
Journal of Phonetics Ghitza 16 109 1988 10.1016/S0095-4470(19)30469-3 Temporal non-place information in the auditory-nerve firing patterns as a front-end for speech recognition in a noisy environment
IEEE ASSP Magazine Gray 4 1984 10.1109/MASSP.1984.1162229 Vector quantization
Nature Neuroscience Gutig 9 420 2006 10.1038/nn1643 The tempotron: a neuron that learns spike timing-based decisions
Nature Hopfield 376 6535 33 1995 10.1038/376033a0 Pattern recognition computation using action potential timing for stimulus representation
Journal of Physiology Hubel 160 106 1962 10.1113/jphysiol.1962.sp006837 Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Iwasa Vol. 4669 748 2007 ICANN Separation and recognition of multiple sound source using pulsed neuron model
Neural Computation Izhikevich 18 2 245 2006 10.1162/089976606775093882 Polychronization: computation with spikes
Kasabov 2007 Evolving connectionist systems
Kiang 1965 Discharge patterns of single fibers in the cat’s auditory nerve
IEEE Transactions on Pattern Analysis and Machine Intelligence Kittler 20 3 226 1998 10.1109/34.667881 On combining classifiers
PLoS Biology von Kriegstein 4 10 1809 2006 10.1371/journal.pbio.0040326 Implicit multisensory associations influence voice recognition
Journal of Cognitive Neuroscience von Kriegstein 17 3 367 2005 10.1162/0898929053279577 Interaction of face and voice areas during speaker recognition
Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour, AISB Kruger 15 417 2004 Biologically motivated multi-modal processing of visual primitives
Transactions of IEICE Kuroyanagi E77-D 4 466 1994 Auditory pulse neural network model to extract the inter-aural time and level difference for sound localization
Maciokas, J., Goodman, P. H., & Harris, F. C. Jr. (2002). Large-scale spike-timing dependent-plasticity model of bimodal (audio/visual) processing. In Technical report of brain computation laboratory. University of Nevada, Reno.
Neural Networks Matsugu 16 555 2003 10.1016/S0893-6080(03)00115-1 Subject independent facial expression recognition with robust face detection using a convolutional neural network
Nature Neuroscience Mazurek 5 463 2002 10.1038/nn836 Limits to the temporal fidelity of cortical spike rate signals
McLennan, S., & Hockema, S. (2001). Spike-V: an adaptive mechanism for speech-rate independent timing. IULC working papers online 02-01.
Neural Computation Mel 9 777 1998 10.1162/neco.1997.9.4.777 SEEMORE: Combining colour, shape, and texture histogramming in a neurally-inspired approach to visual object recognition
Mercier, D., & Seguier, R. (2002). Spiking neurons (STANNs) in speech recognition. In 3rd WSES international conference on neural networks and applications.
Movellan Vol. 7 851 1995 Visual speech recognition with stochastic networks
Mozayyani, N., Baig, A.R., & Vaucher, G. (1998). A fully neural solution for on-line handwritten character recognition. In International joint conference on neural networks (pp. 160-164).
Neurocomputing Natschlager 26-27 463 1999 10.1016/S0925-2312(99)00052-1 Pattern analysis with spiking neurons using delay coding
European Symposium on Artificial Neural Networks Perrinet 313 2002 Sparse image coding using an asynchronous spiking neural network
Science Poggio 247 978 1990 10.1126/science.247.4945.978 Regularization algorithms for learning that are equivalent to multilayer networks
Rabiner 1993 Fundamentals of speech recognition
Reece 2001 Pulsed neural networks Encoding information in neuronal activity
Digital Signal Processing Reynolds 10 19 2000 10.1006/dspr.1999.0361 Speaker verification using adapted Gaussian mixture models
Nature Neuroscience Riesenhuber 2 11 1019 1999 10.1038/14819 Hierarchical models of object recognition in cortex
Journal of the Acoustical Society of America Robert 106 4 1852 1999 10.1121/1.427935 A composite model of the auditory periphery for simulating responses to complex sounds
Computer Speech and Language Rosenberg 2 3-4 143 1987 10.1016/0885-2308(87)90005-2 Evaluation of a vector quantization talker recognition system in text independent and text dependent modes
Rouat Vol. 3445 317 2005 Nonlinear speech modelling Perceptive, non-linear speech processing and spiking neural networks
Digital Signal Processing Sanderson 14 449 2002 10.1016/j.dsp.2004.05.001 Identity verification using speech and face information
Seguier, R., & Mercier, D. (2001). A generic pretreatment for spiking neuron. Application on lipreading with STANN (Spatio-Temporal Artificial Neural Networks). In 5th international conference on artificial neural networks and genetic algorithms.
IEEE Transactions on Pattern Analysis and Machine Intelligence Serre 29 3 411 2007 10.1109/TPAMI.2007.56 Robust object recognition with cortex-like mechanisms
Journal of the Acoustical Society of America Shamma 78 1612 1986 10.1121/1.392799 A biophysical model of cochlear processing: intensity dependence of pure tone responses
Stein 1993 The merging of the senses
Nature Thorpe 381 520 1996 10.1038/381520a0 Speed of processing in the human visual system
Journal of Electrical Engineering Tikovic 52 3-4 68 2001 Implementation of a learning synapse and a neuron for pulse-coupled neural networks
Biosystems Vaucher 48 241 1998 10.1016/S0303-2647(98)00077-X An algebraic interpretation of PSP composition
Wysoski Vol. 4131 61 2006 ICANN On-line learning with structural adaptation in a network of spiking neurons for visual pattern recognition
Wysoski Vol. 4669 758 2007 ICANN Text-independent speaker authentication with spiking neural networks
Neurocomputing Wysoski 71 13-15 2563 2008 10.1016/j.neucom.2007.12.038 Fast and adaptive network of spiking neurons for multi-view visual pattern recognition
Wysoski vol. 4985 406 2008 ICONIP Adaptive spiking neural networks for audiovisual pattern recognition
Neural Networks Yamauchi 12 10 1347 1999 10.1016/S0893-6080(99)00064-7 A self-supervised learning system for pattern recognition by sensory integration
International Journal of Knowledge-Based and Intelligent Engineering Systems Yamauchi 5 3 142 2001 Sensory integrating neural network with selective attention architecture for autonomous robots
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