D2.1 Requirements and Specification - CORBYS

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D2.1 Requirements and Specification Coles, M. Bekkering, H. Van Schie, H., Mars, R. (2004). Modulation of activity in medial frontal and motor cortices during error observation. Nature Neuroscience, 7:549–554. Coles, M.G.H., Gratton, G. and Donchin, E. (1988). Detecting early communication: using measures of movement-related potentials to illuminate human information processing. Biol Psychol, 26:69–89, 1988. Colombo, G., Wirz, M., and Dietz, V. (2001). Driven gait orthosis for improvement of locomotor training in paraplegic patients, Spinal Cord, vol. 39, pp. 252-253. CoolBOT Project, n.d. CoolBOT Project’s site. [online] Available at:http://www.coolbotproject.org [Accessed 13 May 2011]. Corradini, A., Mehta, M., Bernsen, N.O., Martin , J.-C., Abrilian, S. (2005). Multimodal Input Fusion in Human-Computer Interaction: On the Example of the NICE Project. Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management, E. Shahbazian et al. Ed. IOS Press. Costa, N. and Caldwell, D. (2006). Control of a biomimetic "soft-actuated" 10 DoF lower body exoskeleton, in Proceedings of the IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 495-501. Cover, T. M. and Thomas, J. A. (1991). Elements of Information Theory. Wiley, New York. CRASAR-Center for Robot-Assisted Search and Rescue at Texas A&M University [online] Available at: Croft, R. J. and Barry, R. J. (2000). Removal of ocular artifact from the eeg: a review. Neurophysiol. Clin., 30(1):5–19. Csíkszentmihályi, M. (1978). Beyond Boredom and Anxiety: Experiencing Flow in Work and Play. Cambridge University Press, Cambridge. Dal Seno, B. (2009). Toward An Integrated P300-And ErrP-Based Brain-Computer Interface. PhD thesis, Politecnico di Milano. Darken, C. J. (2005). Towards learned anticipation in complex stochastic environments. In Proc. Artificial Intelligence for Interactive Digital Entertainment Conference (AIIDE). Das, S., Grey, R., Gonsalves, P. (2002). Situation Assessment via Bayesian Belief Networks, Proceedings of the fifth International Conference on Information Fusion, Annapolis, Maryland Deecke, L., Grozinger, B. and Kornhuber, H.H. (1976). Voluntary finger movement in man: cerebral potentials and theory. Biol Cybernet, 23:99–119. Deecke, L., Scheid, P. and Kornhuber, H.H. (1969). Distribution of readiness potential, pre-motion positivity and motor potential of the human cerebral cortex preceding voluntary finger movement. Exp Brain Res, 7:158–168. Delorme, A. and Makeig, S. (2004). Eeglab: an open source toolbox for analysis of single-trial eeg dynamics. Journal of Neuroscience Methods, 134:9–21. Der, R. (2000). Selforganized robot behavior from the principle of homeokinesis. In Groß, H.-M., Debes, K., and Böhme, H.-J., editors, Proc. Workhop SOAVE ’2000 (Selbstorganisation von adaptivem Verhalten), volume 643 of Fortschritt-Berichte VDI, Reihe 10, pages 39–46, Ilmenau. VDI Verlag. Der, R. (2001). Self-organized acqusition of situated behavior. Theory Biosci., 120:1–9. Der, R., Hesse, F., and Martius, G. (2006). Rocking stumper and jumping snake from a dynamical system approach to artificial life. J. Adaptive Behavior, 14(2):105–115. Der, R., Steinmetz, U., and Pasemann, F. (1999). Homeokinesis – a new principle to back up evolution with learning. In Mohammadian, M., editor, Computational Intelligence for Modelling, Control, and Automation, volume 55 of Concurrent Systems Engineering Series, pages 43–47. IOS Press. Deutsche Industrie Norm für Begriffe der Informationsverarbeitung: Teil 5: Begriffe, Aufbau digitaler Rechensysteme 182
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D2.1 Requirements and Specification - CORBYS

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