related bibliography on Rank-Order Coding

• Edgar Adrian. The basis of sensation: the action of sense organs. London: ChristoPhers., 1928.
• Simon J. Thorpe. Image processing by humans.. Technique et Science Informatiques, 7(6):517--25, 1988 abstract
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• Simon J. Thorpe, M. Imbert. Biological constraints on connectionist modelling.. In Connectionism in Perspective, Pfeifer, R., Schreter, Z., Fogelman-Soulie, F., and Steels, L., eds., Elsevier (North-Holland), 1989 abstract
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• Simon J. Thorpe. Spike arrival times: a highly efficient coding scheme for neural networks. Parallel processing in Neural Systems and Computers, :91-4, 1990 abstract
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• Simon J. Thorpe, Michel Imbert. Parallel processing in neural systems.. R.Eckmiller G.Hartman and G.Hauske, North Holland, 1990.
• S. Celebrini, Simon J. Thorpe, Y. Trotter, M. Imbert. Dynamics of orientation coding in area V1 of the awake primate.. Visual Neuroscience, 5(10):811-25, 1993 abstract
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• Philippe Barbe, Marc Hallin. Statistiques de rang linéaires; normalité asymptotique et théorème de projection de H\`ajek. In Inferences non parametriques., Association pour la Statistique et ses Utilisations, 1995 abstract
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• Simon J. Thorpe, Denis Fize, Catherine Marlot. Speed of processing in the human visual system. Nature, 381:520--2, 1996 abstract
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• Simon J. Thorpe, Jacques Gautrais. Rapid Visual Processing using Spike Asynchrony. pages 901. abstract
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• Jacques Gautrais, Simon J. Thorpe. Rate Coding vs. temporal order coding. Biosystems, 1997 abstract
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• Manuel Samuelides, Simon J. Thorpe, E. Veneau. Implementing Hebbian Learning in a Rank-Based Neural Network. Lecture Notes in Computer Science., 1327:145--50, 1997 abstract
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• Rufin van Rullen, Jacques Gautrais, Arnaud Delorme, Simon J. Thorpe. Face Processing Using One Spike Per Neuron.. BioSystems, 483:229--39, 1998 abstract
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• Michèle Fabre-Thorpe, Guillaume Richard, Arnaud Delorme. Rapid Categoriztion of Natural Scenes by Rhesus Monkeys.. Neuroreport, (9):303-8, 1998 abstract
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• Simon J. Thorpe, Jacques Gautrais. Rank Order Coding. In Computational Neuroscience: Trends in Research 1998, J. Bower, Editor. Plenum Press: New York., pages 113--8. 1998 abstract
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• J. Vaccaro, D. Gourion, Manuel Samuelides, Simon J. Thorpe. Rank based hebbian learning in a multi-layered neural network.. In Proccedings of VI-DYNN'98. Royal Institute of Technology, Stockholm, Sweden., 1998 abstract
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• Rufin van Rullen, Simon J. Thorpe. Spatial Attention in Asynchronous Neural Networks.. Neurocomputing, 26--7:911--8, 1999 abstract
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• Arnaud Delorme, J. Gautrais, Rufin van Rullen, Simon J. Thorpe. SpikeNET: a simulator for modeling large networks of integrate and fire neurons.. Neurocomputing, 24:663-70, 1999 abstract
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• Arnaud Delorme, Guillaume Richard, Michèle Fabre-Thorpe. Rapid processing of complex natural scenes: a role for the magnocellular pathway.. Neurocomputing, 26-7:663-70, 1999 abstract
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• Rufin van Rullen, Arnaud Delorme, Simon J. Thorpe. Object recognition using spiking neurons II: Spatial attention explained by temporal precedence of information.. 2000 abstract
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• Arnaud Delorme, Guillaume Richard, Michèle Fabre-Thorpe. Ultra-Rapid Categorization of Natural Scenes Does Not Rely on Colour Cues: A Study in Monkeys and Humans. Vision Research, 40(16):2187-200, 2000 abstract
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• Simon J. Thorpe, Arnaud Delorme, Rufin van Rullen, William Paquier. Reverse engineering of the visual system using networks of spiking neurons.. In IEEE International Symposium on Circuits and Systems, pages 405--8. 2000 abstract
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• Rufin van Rullen. Une premiere vague de potentiels d'action, une première vague idée de la scène visuelle. Role de l'asynchronie dans le traitement rapide de l'information visuelle.. 2001 abstract
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• Rufin van Rullen, Arnaud Delorme, Simon J. Thorpe. Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation.. Neurocomputing, 1--4(38--40):1003--9, 2001 abstract
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• Rufin van Rullen, Simon J. Thorpe. Rate coding versus temporal order coding: what the retina ganglion cells tell the visual cortex. Neural Computation, 13(6):1255--83, 2001 abstract
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• Arnaud Delorme. Traitement visuel rapide de scènes naturelles chez le singe, l'homme et la machine : une vision qui va de l'avant. 2001 abstract
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• Arnaud Delorme, Simon J. Thorpe. SpikeNET: An Event-driven Simulation Package for Modeling Large Networks of Spiking Neurons. Network: Computation in Neural Systems, 14:613--27, 2001 abstract
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• Arnaud Delorme, Simon J. Thorpe. Face processing using one spike per neuron: resistance to image degradation.. Neural Networks, 6-7(14):795-804, 2001 abstract
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• Michèle Fabre-Thorpe, Arnaud Delorme, Catherine Marlot, Simon J. Thorpe. A Limit in the Speed of Processing in Ultra-Rapid Categorization of Novel Natural Scenes.. Journal of Cognitive Neuroscience, 13(2), 2001 abstract
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• Mark C. W. van Rossum, Gina G. Turrigiano, Sacha B. Nelson. Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons. Journal of Neuroscience, 22(5):1956--66, 2001 abstract
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• Simon J. Thorpe, A. Delorme, Rufin van Rullen. Spike based strategies for rapid processing.. Neural Networks, 6-7(14):715-26, 2001 abstract
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• Simon J. Thorpe, Michèle Fabre-Thorpe. Neuroscience. Seeking categories in the brain.. Science, 291(5502):260-263, 2001 abstract
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• Simon J. Thorpe, KR Gegenfurtner, Michèle Fabre-Thorpe, HH Bülthoff. Detection of animals in natural images using far peripheral vision.. European Journal of Neuroscience, 14(5):869-76, 2001 abstract
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• Arnaud Delorme, S. Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski. From Single-trials EEG to Brain Area Dynamics. Neurocomputing, 2002 abstract
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• Guillaume A. Rousselet, Michèle Fabre-Thorpe, Simon J. Thorpe. Two unrelated natural scenes can be processed as fast as one.. ECVP 2001. Supplement., 2002 abstract
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• Michael S. Lewicki. Efficient coding of natural sounds, URL . Nature Neuroscience, (4):356--62, 2002 abstract
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• Evan C. Smith, Michael S. Lewicki. Efficient Auditory Coding, URL . Nature, 439(7079):978--82, 2006 abstract
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• Basabdatta Sen, Steve Furber. Information Recovery from Rank-Order Encoded Images. In Workshop on Biologically Inspired Information Fusion University of Surrey, 2006 abstract
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• Goded Shahaf, Danny Eytan, Asaf Gal, Einat Kermany, Vladimir Lyakhov, Christoph Zrenner, Shimon Marom. Order-Based Representation in Random Networks of Cortical Neurons, URL URL2 . PLoS Computational Biology, 4(11):e1000228+, 2008 abstract
  The wide range of time scales involved in neural excitability and synaptic transmission might lead to ongoing change in the temporal structure of responses to recurring stimulus presentations on a trial-to-trial basis. This is probably the most severe biophysical constraint on putative time-based primitives of stimulus representation in neuronal networks. Here we show that in spontaneously developing large-scale random networks of cortical neurons in vitro the order in which neurons are recruited following each stimulus is a naturally emerging representation primitive that is invariant to significant temporal changes in spike times. With a relatively small number of randomly sampled neurons, the information about stimulus position is fully retrievable from the recruitment order. The effective connectivity that makes order-based representation invariant to time warping is characterized by the existence of stations through which activity is required to pass in order to propagate further into the network. This study uncovers a simple invariant in a noisy biological network in vitro; its applicability under in vivo constraints remains to be seen.
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