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sylvain_chevallier's neural [21 articles]

Recent papers added to sylvain_chevallier's library classified by the tag neural. You can also see everyone's neural.
  • Visualization of neural networks using saliency maps
    Neural Networks, 1995. Proceedings., IEEE International Conference on, Vol. 4 (1995), pp. 2085-2090 vol.4.
    by NJS Morch, U Kjems, LK Hansen, C Svarer, I Law, B Lautrup, S Strother, K Rehm
    posted to visualization saliency neural networks by sylvain_chevallier on 2008-08-15 19:07:28 as read
  • A neural network implementation of a saliency map model.
    Neural Netw (8 May 2006)
    by Matthew de Brecht, Jun Saiki
    posted to winner-takes-all vision system saliency psychology population neural model mean-field coding by sylvain_chevallier on 2008-08-15 13:53:02 as read
  • A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task
    Anticipatory Behavior in Adaptive Learning Systems (2007), pp. 170-188.
    by Jérémy Fix, Julien Vitay, Nicolas Rougier
    posted to vision system robotics neural field attention by sylvain_chevallier on 2008-08-14 15:54:38 as **
  • A Distributed Model of Spatial Visual Attention
    Biomimetic Neural Learning for Intelligent Robots (2005), pp. 54-72.
    by Julien Vitay, Nicolas P Rougier, Frédéric Alexandre
    posted to visual vision robotics perception neural field distributed attention by sylvain_chevallier on 2008-08-14 15:30:42 as **
  • Synaptic plasticity: taming the beast.
    Nat Neurosci, Vol. 3 Suppl (November 2000), pp. 1178-1183.
    by LF Abbott, SB Nelson
    posted to synaptic stdp spiking plasticity neural network model by sylvain_chevallier on 2008-07-06 18:29:06 as read along with 2 people mura robotact
  • Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input.
    J Neurophysiol, Vol. 30, No. 5. (September 1967), pp. 1138-1168.
    by W Rall
    posted to synaptic neural model function conductance alpha by sylvain_chevallier on 2008-07-05 14:57:29 as ** along with 2 people agidon20 elferdo
  • An efficient method for computing synaptic conductances based on a kinetic model of receptor binding
    Neural Comput., Vol. 6, No. 1. (January 1994), pp. 14-18.
    by A Destexhe, ZF Mainen, TJ Sejnowski
    posted to synapse neural model conductance by sylvain_chevallier on 2008-07-05 14:40:24 as ** along with 1 person elferdo
  • Which model to use for cortical spiking neurons?
    Neural Networks, IEEE Transactions on, Vol. 15, No. 5. (2004), pp. 1063-1070.
    by EM Izhikevich
    posted to spiking neural model izhikevich bursting by sylvain_chevallier on 2008-06-30 01:07:57 as read along with 3 people dcoates kcrawlik yama_tah
  • Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies.
    Neural Comput, Vol. 18, No. 9. (September 2006), pp. 2146-2210.
    by M Rudolph, A Destexhe
    posted to simulation neural model integrate-and-fire event-driven conductance-base by sylvain_chevallier on 2008-06-29 19:32:03 as read along with 2 people davidcsterratt suizan
  • Conductance-based integrate-and-fire models
    Neural Comput., Vol. 9, No. 3. (April 1997), pp. 503-514.
    by Alain Destexhe
    posted to neuroscience neuron neural model integrate-and-fire hodgkin-huxley conductance-base computational comparison biophysical by sylvain_chevallier on 2008-06-29 02:24:05 as read
  • Lapicque's introduction of the integrate-and-fire model neuron (1907)
    Brain Research Bulletin, Vol. 50, No. 5-6. ( 1999), pp. 303-304.
    by LF Abbott
    posted to reference paper neural model integrate-and-fire historical by sylvain_chevallier on 2008-06-29 01:44:34 as read
  • A quantitative description of membrane current and its application to conduction and excitation in nerve
    Bulletin of Mathematical Biology, Vol. 52, No. 1. (January 1990), pp. 25-71.
    by A Hodgkin, A Huxley
    posted to reference neural model hh-neuron explicative by sylvain_chevallier on 2008-06-29 01:02:17 as read along with 1 person waleed
  • Energy-Efficient Coding with Discrete Stochastic Events
    Neural Comp., Vol. 14, No. 6. (1 June 2002), pp. 1323-1346.
    by Susanne Schreiber, Christian K Machens, Andreas V Herz, Simon B Laughlin
    posted to theory temporal neural events energy coding by sylvain_chevallier on 2008-06-27 17:20:54 as read
  • Type I membranes, phase resetting curves, and synchrony
    Neural Comput., Vol. 8, No. 5. (July 1996), pp. 979-1001.
    by Bard Ermentrout
    posted to quadratic-integrate-and-fire neural model integrate-and-fire by sylvain_chevallier on 2008-06-27 02:32:37 as ** along with 1 person balicea
  • Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
    SIAM Journal on Applied Mathematics, Vol. 46, No. 2. (1986), pp. 233-253.
    by GB Ermentrout, N Kopell
    posted to theory quadratic-integrate-and-fire oscillation neural model integrate-and-fire by sylvain_chevallier on 2008-06-27 02:31:04 as **
  • Neurons with graded response have collective computational properties like those of two-state neurons.
    Proc Natl Acad Sci U S A, Vol. 81, No. 10. (May 1984), pp. 3088-3092.
    by JJ Hopfield
    posted to sigmoid reference recurrent neurons neural network coding artificial by sylvain_chevallier on 2008-06-26 14:20:56 as **
  • The Handbook of Brain Theory and Neural Networks (Bradford Book)
    (31 July 1998)
    posted to theory reference neural network learning book artificial by sylvain_chevallier on 2008-06-24 16:05:08 as read
  • A logical calculus of the ideas immanent in nervous activity
    Bulletin of Mathematical Biology, Vol. 5, No. 4. (21 December 1943), pp. 115-133.
    by Warren Mcculloch, Walter Pitts
    posted to reference neural networks coding by sylvain_chevallier on 2008-06-22 17:36:21 as read along with 1 person bayesian
  • Internal models for visual perception
    Biological Cybernetics, Vol. V88, No. 5. (1 May 2003), pp. 409-417.
    by Wolfram Erlhagen
    posted to visual temporal neural model internal focus field coding bioinspiration attention by sylvain_chevallier on 2008-06-20 16:42:10 as read along with 1 person and 1 group neilh S-Lab
  • Transition Cells and Neural Fields for Navigation and Planning
    Mechanisms, Symbols, and Models Underlying Cognition (2005), pp. 346-355.
    by Nicolas Cuperlier, Mathias Quoy, Philippe Laroque, Philippe Gaussier
    posted to transition robotics place neural field cells bioinspiration autonomous by sylvain_chevallier on 2008-06-20 15:57:50 as ** along with 1 person balicea
  • Sequence learning using the neural coding
    Computational Methods in Neural Modeling (2003), pp. 1036-1037.
    by Sorin Moga, Philippe Gaussier, Jean-Paul Banquet
    posted to temporal sequence robotics neural learning imitation coding bioinspiration by sylvain_chevallier on 2008-06-20 15:53:22 as ***
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