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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
Stouten, F., J. Duchateau, J-P. Martens, and P. Wambacq, Coping with disfluencies in Spontaneous Speech Recognition: acoustic detection and linguistic context manipulation, , 2006.
Dominey, P. F., and M. Jeannerod, "Contribution of frontostriatal function to sequence learning in Parkinson's disease: evidence for dissociable systems", NeuroReport, vol. 8, no. 5, pp. iii-ix, 03/1997. Abstract  Download: dominey 97 neuroreport.pdf (214.39 KB)
Buesing, L., B. Schrauwen, and R. Legenstein, "Connectivity, Dynamics and Memory in Reservoir Computing with Binary and Analog Neurons", Neural Computation, In Press. Abstract
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)
Maass, W., "Computing with spikes", Special Issue on Foundations of Information Processing of Telematik, vol. 8, no. 1, pp. 32-36, 2002.
Natschläger, T., H. Markram, and W. Maass, "Computer models and analysis tools for neural microcircuits", A Practical Guide to Neuroscience Databases and Associated Tools: Kluver Academic Publishers (Boston), 2002.
Natschlaeger, T., H. Markram, and W. Maass, "Computer Models and analysis tools for neural microcircuits", Neuroscience Databases. A Practical Guide, Boston, Kluwer Academic Publishers, pp. 123-138, 2003. Abstract
Maass, W., T. Natschläger, and H. Markram, "Computational models for generic cortical microcircuits", Computational Neuroscience: A Comprehensive Approach: CRC-Press, 2004. Abstract
Maass, W., P. Joshi, and E. D. Sontag, "Computational aspects of feedback in neural circuits", PLoS Computational Biology, vol. 3, no. 1, pp. 1-20, 2007. Abstract
Dominey, P. F., "Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning", Biological Cybernetics, vol. 73, no. 3, pp. 265-74, 08/1995.  Download: dominey1995biocyber.pdf (996.6 KB)
Daukantas, S., M. Lukoševičius, V. Marozas, and A. Lukoševičius, "Comparison of ``black box'' and ``gray box'' methods for lost data reconstruction in multichannel signals", Proceedings of the 14th International Conference ``Biomedical Engineering'', Kaunas, pp. 135-138, 2010.
Schrauwen, B., M. D'Haene, D. Verstraeten, and J. Van Campenhout, "Compact hardware for real-time speech recognition using a Liquid State Machine", Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2007.
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
Lelekov, T., N. Franck, P. F. Dominey, and N. Georgieff, "Cognitive sequence processing and syntactic comprehension in schizophrenia", NeuroReport, vol. 11, no. 10, pp. 2145-9, 07/2000. Abstract
Yamazaki, T., and S. Tanaka, "The cerebellum as a liquid state machine", Neural Networks, vol. 20, pp. 290-297, 2007.
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.