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sylvain_chevalliers library [217 articles]

Nye artikler sendt til sylvain_chevalliers bibliotek.
  • Topographic organization of nerve fields.
    Bull Math Biol, Vol. 42, No. 3. (1980), pp. 339-364.
    by S Amari
    posted to neural_field by sylvain_chevallier on 2008-10-07 16:12:28 as ** along with 1 person balicea
  • Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex.
    Neural Comput, Vol. 9, No. 3. (1 April 1997), pp. 577-594.
  • Lateral interactions in primary visual cortex: a model bridging physiology and psychophysics.
    Science, Vol. 269, No. 5232. (29 September 1995), pp. 1877-1880.
    by M Stemmler, M Usher, E Niebur
  • Biologically motivated vergence control system using human-like selective attention model
    Neurocomputing, Vol. 69, No. 4-6. (January 2006), pp. 537-558.
  • Processing visual stimuli using hierarchical spiking neural networks
    Neurocomputing, Vol. 71, No. 10-12. (June 2008), pp. 2055-2068.
    posted to vision spiking neurons by sylvain_chevallier on 2008-10-04 18:47:59 as *****
  • Exact simulation of integrate-and-fire models with exponential currents.
    Neural computation, Vol. 19, No. 10. (October 2007), pp. 2604-2609.
    by R Brette
  • The NEURON simulation environment
    Neural Comput., Vol. 9, No. 6. (1997), pp. 1179-1209.
    by ML Hines, NT Carnevale
    posted to tools simulation neural networks by sylvain_chevallier on 2008-10-01 00:00:44 as read
  • Large neural network simulations on multiple hardware platforms.
    Journal of computational neuroscience, Vol. 5, No. 4. (December 1998), pp. 443-459.
    posted to tools simulation neurons neural network hodgkin-huxley by sylvain_chevallier on 2008-09-30 23:54:52 as read
  • The book of GENESIS (2nd ed.): exploring realistic neural models with the GEneral NEural SImulation System
    (1998)
    by James M Bower, David Beeman
    posted to tools simulation neuroscience neural networks by sylvain_chevallier on 2008-09-30 23:16:11 as read
  • Optimizing synaptic conductance calculation for network simulations.
    Neural computation, Vol. 8, No. 3. (1 April 1996), pp. 501-509.
    by WW Lytton
    posted to synaptic spiking neural network model computation by sylvain_chevallier on 2008-09-30 16:36:00 as read
  • Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism
    Journal of Computational Neuroscience, Vol. V1, No. 3. (1994), pp. 195-230.
    by Alain Destexhe, Zachary F Mainen, Terrence J Sejnowski
    posted to synaptic spiking neuron model by sylvain_chevallier on 2008-09-30 16:00:06 as read along with 1 person tomb
  • Time as coding space?
    Curr Opin Neurobiol, Vol. 9, No. 2. (April 1999), pp. 189-194.
    by W Singer
  • The tempotron: a neuron that learns spike timing–based decisions
    Nature Neuroscience, Vol. 9, No. 3. (12 February 2006), pp. 420-428.
    by Robert Gütig, Haim Sompolinsky
  • Anytime Algorithm for Feature Selection
    Rough Sets and Current Trends in Computing (2001), pp. 532-539.
    by Mark Last, Abraham Kandel, Oded Maimon, Eugene Eberbach
    posted to learning feature-selection anytime by sylvain_chevallier on 2008-09-28 17:59:19 as read
  • Optimal composition of real-time systems
    Artificial Intelligence (April 1996), pp. 181-213.
    posted to real-time anytime by sylvain_chevallier on 2008-09-28 17:53:14 as read
  • What is the goal of sensory coding?
    Neural Comput., Vol. 6, No. 4. (1994), pp. 559-601.
    by David J Field
    posted to wavelets vision sparse sensory pca coding by sylvain_chevallier on 2008-09-27 20:27:36 as read
  • Circuits that build visual cortical receptive fields.
    Trends Neurosci, Vol. 29, No. 1. (January 2006), pp. 30-39.
    by JA Hirsch, LM Martinez
  • Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning.
    Neural networks : the official journal of the International Neural Network Society, Vol. 20, No. 3. (April 2007), pp. 353-364.
    by JJ Steil
  • A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
    Neural Comp., Vol. 20, No. 5. (1 May 2008), pp. 1261-1284.
    by Cornelius Weber, Jochen Triesch
  • Learning sensory representations with intrinsic plasticity
    Neurocomput., Vol. 70, No. 7-9. (2007), pp. 1130-1138.
    by Nicholas J Butko, Jochen Triesch
    posted to sensory oja_network learning intrinsic_plasticity ica by sylvain_chevallier on 2008-09-27 17:11:20 as read
  • Synergies between intrinsic and synaptic plasticity mechanisms.
    Neural Comput, Vol. 19, No. 4. (April 2007), pp. 885-909.
    by J Triesch
  • Responses of neurons in primary and inferior temporal visual cortices to natural scenes.
    Proc R Soc Lond B Biol Sci, Vol. 264, No. 1389. (22 December 1997), pp. 1775-1783.
    by R Baddeley, LF Abbott, MC Booth, F Sengpiel, T Freeman, EA Wakeman, ET Rolls
  • Neural mechanisms of saccadic suppression.
    Science (New York, N.Y.), Vol. 295, No. 5564. (29 March 2002), pp. 2460-2462.
    posted to vision suppression saccade neuroscience by sylvain_chevallier on 2008-09-18 14:31:34 as **
  • Selective suppression of the magnocellular visual pathway during saccadic eye movements.
    Nature, Vol. 371, No. 6497. (6 October 1994), pp. 511-513.
    by DC Burr, MC Morrone, J Ross
  • Spike-latency codes and the effect of saccades
    Neurocomputing, Vol. 65-66 (June 2005), pp. 189-194.
    by Rüdiger Kupper, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner
    posted to vision temporal spike saccade coding by sylvain_chevallier on 2008-09-18 14:04:14 as **
  • A behavior controller based on spiking neural networks for mobile robots
    Neurocomputing, Vol. In Press, Corrected Proof
    by Xiuqing Wang, Zeng-Guang Hou, Anmin Zou, Min Tan, Long Cheng
  • Internal simulation of perception: a minimal neuro-robotic model
    Neurocomputing, Vol. 68 (October 2005), pp. 85-104.
    by Tom Ziemke, Dan-Anders Jirenhed, Germund Hesslow
  • Expectation-based selective attention for visual monitoring and control of a robot vehicle
    Robotics and Autonomous Systems (December 1997), pp. 329-344.
    by S Baluja, DA Pomerleau
    posted to vision robotics attention application by sylvain_chevallier on 2008-09-07 20:37:27 as read
  • Attention control for robot vision
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on (1996), pp. 726-733.
    posted to vision robotics attention by sylvain_chevallier on 2008-09-07 20:25:44 as read
  • A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue
    Biological Cybernetics, Vol. 13, No. 2. (1973), pp. 55-80.
    by HR Wilson, JD Cowan
  • Large-scale activity in neural nets I: Theory with application to motoneuron pool responses
    Biological Cybernetics, Vol. 17, No. 1. (25 January 1975), pp. 29-38.
    by J Feldman, J Cowan
    posted to theory reference oscillation neural_field by sylvain_chevallier on 2008-09-06 23:50:56 as read
  • Neural ‘bubble’ dynamics in two dimensions: foundations
    Biological Cybernetics, Vol. 80, No. 6. (7 June 1999), pp. 393-409.
    by JG Taylor
    posted to theory reference neural_field by sylvain_chevallier on 2008-09-06 23:46:41 as read
  • Dynamics of pattern formation in lateral-inhibition type neural fields
    Biological Cybernetics, Vol. 27, No. 2. (1 June 1977), pp. 77-87.
    by Shun-Ichi Amari
  • Enhancing Robustness of a Saliency-Based Attention System for Driver Assistance
    Computer Vision Systems (2008), pp. 43-55.
    by Thomas Michalke, Jannik Fritsch, Christian Goerick
    posted to vision top-down bioinspiration attention application by sylvain_chevallier on 2008-09-06 20:16:40 as read
  • Modeling the influence of task on attention.
    Vision Res, Vol. 45, No. 2. (January 2005), pp. 205-231.
  • Biologically-inspired robotics vision monte-carlo localization in the outdoor environment
    Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on (2007), pp. 1723-1730.
    by C Siagian, L Itti
  • Attentional Landmark Selection for Visual SLAM
    Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on (2006), pp. 2582-2587.
  • A Topographic Representation for Mammogram Segmentation
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 (2003), pp. 730-737.
    by Byung-Woo Hong, Michael Brady
    posted to saliency roi medical_images attention application by sylvain_chevallier on 2008-09-06 14:02:15 as read
  • A coherent computational approach to model bottom-up visual attention.
    IEEE transactions on pattern analysis and machine intelligence, Vol. 28, No. 5. (May 2006), pp. 802-817.
    posted to vision saliency preattention attention application by sylvain_chevallier on 2008-09-06 13:56:48 as read
  • Automatic foveation for video compression using a neurobiological model of visual attention
    Image Processing, IEEE Transactions on, Vol. 13, No. 10. (2004), pp. 1304-1318.
    by L Itti
  • Limiting human perception for image sequences
    Human Vision and Electronic Imaging, Vol. 2657, No. 1. (1996), pp. 330-337.
    by Anthony J Maeder, Joachim Diederich, Ernst Niebur
    edited by Bernice E Rogowitz, Jan P Allebach
    posted to vision video_compression perception image by sylvain_chevallier on 2008-09-06 13:45:11 as read
  • The contrast sensitivity of retinal ganglion cells of the cat.
    J Physiol, Vol. 187, No. 3. (December 1966), pp. 517-552.
  • The Gaussian derivative model for spatial vision: I. Retinal mechanisms.
    Spatial vision, Vol. 2, No. 4. (1987), pp. 273-293.
    by RA Young
  • The two-dimensional spectral structure of simple receptive fields in cat striate cortex.
    Journal of neurophysiology, Vol. 58, No. 6. (December 1987), pp. 1212-1232.
    by JP Jones, A Stepnoski, LA Palmer
    posted to vision v1 receptive_field neurobiology gabor by sylvain_chevallier on 2008-09-04 16:07:41 as read
  • The Laplacian Pyramid as a Compact Image Code
    Communications, IEEE Transactions on [legacy, pre - 1988], Vol. 31, No. 4. (1983), pp. 532-540.
    by P Burt, E Adelson
  • The role of memory in guiding attention during natural vision.
    Journal of vision, Vol. 6, No. 9. (2006), pp. 898-914.
    by R Carmi, L Itti
    posted to vision top-down natural model image eye_movement artificial by sylvain_chevallier on 2008-09-03 11:00:23 as read
  • Contextual Priming for Object Detection
    Int. J. Comput. Vision, Vol. 53, No. 2. (July 2003), pp. 169-191.
    by Antonio Torralba
  • Modeling global scene factors in attention.
    Journal of the Optical Society of America. A, Optics, image science, and vision, Vol. 20, No. 7. (July 2003), pp. 1407-1418.
    posted to statistics natural_images attention by sylvain_chevallier on 2008-09-01 18:55:52 as read
  • Statistics of natural image categories.
    Network (Bristol, England), Vol. 14, No. 3. (August 2003), pp. 391-412.
    by A Torralba, A Oliva
    posted to vision statistics natural_images bayesian by sylvain_chevallier on 2008-09-01 18:54:48 as read
  • Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
    International Journal of Computer Vision, Vol. 42, No. 3. (1 May 2001), pp. 145-175.
    by Aude Oliva, Antonio Torralba
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