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Jouen, A-L., J. Ventre-Dominey, W. Verwey, R. Neveu, V. J. Helden, C. Scheinber, and P. F. Dominey, "Cortical and basal ganglia function in temporal segmentation of sensory-motor sequences revealed by event related fMRI ", SFN, 2009, 2009. Abstract
Jouen, A-L., T. M. Ellmore, C. Madden, C. Pallier, P. F. Dominey, and J. Ventre-Dominey, "A common “meaning” system for language and visual images revealed by fMRI and DTI", Society for Neuroscience, 2011. Abstract
Joshi, P., and W. Maass, "Movement generation and control with generic neural microcircuits", BioADIT 2004, Lecture Notes in Computer Science, Lausanne, Springer, 2004. Abstract
Joshi, P., and W. Maass, "Movement generation with circuits of spiking neurons", Neural Computation, vol. 17, no. 8, pp. 1715-1738, 2005. Abstract
Jones, B., D. Stekel, J. Rowe, and C. Fernando, "Is there a Liquid State Machine in the Bacterium Escherichia Coli?", IEEE Symposium on Artificial Life, 2007 (ALIFE '07), pp. 187-191, 2007.
Jalalvand, A., F. Triefenbach, D. Verstraeten, and J-P. Martens, "Connected digit recognition by means of reservoir computing", Interspeech, 2011.  Download: interspeech2011_digits.pdf (393.97 KB)
Jaeger, H., "Tutorial on training recurrent neural networks, covering {BPTT}, {RTRL}, {EKF} and the ``echo state network'' approach", GMD Report 159: German National Research Center for Information Technology, pp. 48 pp., 2002.
Jaeger, H., "Generating exponentially many periodic attractors with linearly growing Echo State Networks", IUB technical report, vol. 3, pp. 1–26, 2006.
Jaeger, H., M. Lukoševičius, D. Popovici, and U. Siewert, "Optimization and applications of echo state networks with leaky-integrator neurons", Neural Networks, vol. 20, no. 3, pp. 335-352, 2007.
Jaeger, H., "Short term memory in echo state networks", GMD Report 152: German National Research Center for Information Technology, 2001.
Jaeger, H., "Reservoir Riddles: Sugggestions for Echo State Network Research (Extended Abstract of Invited Talk)", Proceedings of the International Joint Conference on Neural Networks, pp. 1460–1462, August, 2005.
Jaeger, H., Adaptive nonlinear system identification with echo state networks, : MIT Press Cambridge, MA, pp. 593–600, 2003.
Jaeger, H., and D. Eck, "Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal. ", In: I. Wachsmuth, G. Knoblich (eds.): Modeling Communication for Robots and Virtual Humans. : Springer LNAI 4930, pp. 310-335 , 2008.
Jaeger, H., W. Maass, and J. Principe, "Introduction to the Special Issue on Echo State Networks and Liquid State Machines", Neural Networks, vol. 20, no. 3, pp. 287–289, 2007.
Jaeger, H., "The ``echo state'' approach to analysing and training recurrent neural networks - with an Erratum note", GMD Report 148: German National Research Center for Information Technology, 2001.
Jaeger, H., "Adaptive nonlinear system identification with echo state networks", In: Advances in Neural Information Processing Systems: MIT Press, Cambridge, MA, , pp. 593-600, 2003, 2002.
Jaeger, H., Discovering multiscale dynamical features with hierarchical Echo State Networks, : Jacobs University Bremen, 2007.
Jaeger, H., "Echo state network", Scholarpedia, vol. 2, no. 9, pp. 2330, 2007.
Jaeger, H., and H. Haas, "Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless telecommunication", Science, vol. 304, no. 5667, pp. 78–80, April 2, 2004.