Buonomano DV, Merzenich MM. (1995). Temporal information transformed into a spatial code by a neural network with realistic properties. Science (New York, N.Y.). 267 [PubMed]
Craig JJ. (1955). Introduction to robotics: Mechanics and control (2nd ed).
Flash T, Hogan N. (1985). The coordination of arm movements: an experimentally confirmed mathematical model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 5 [PubMed]
Gupta A, Wang Y, Markram H. (2000). Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science (New York, N.Y.). 287 [PubMed]
Jaeger H, Haas H. (2004). Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science (New York, N.Y.). 304 [PubMed]
Jager H. (2002). Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach GMD Report 159.
Latham PE, Pouget A. (2003). Population codes The handbook of brain theory and neural networks.
Li W, Slotine JJE. (1991). Applied nonlinear control.
Maass W, Joshi P. (2004). Movement generation and control with generic neural microcircuits Biologically inspired approaches to advanced information technology.
Maass W, Legenstein RA, Bertschinger N. (2005). Methods for estimating the computational power and generalization capability of neural microcircuits Advances in neural information processing systems. 17
Maass W, Natschlager T. (2004). Information dynamics and emergent computation in recurrent circuits of spiking neurons Advances in neural information processing systems (Available online: http:--www.igi.tugraz.at-maass-publications.html). 16
Maass W, Natschläger T, Markram H. (2002). Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural computation. 14 [PubMed]
Markram H, Maass W. (2004). On the computational power of recurrent circuits of spiking neurons J Computer System Sci (Available online: http:--www.igi.tugraz.at-maass-publications.html). 69
Markram H, Maass W, Legenstein RA. (2003). Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons. Reviews in the Neurosciences Special Issue on Neuroinformatics of Neural and Artificial Computation. 14
Markram H, Maass W, Natschlager T. (2004). Computational models for generic cortical microcircuits Computational neuroscience: A comprehensive approach (Available online: http:--www.igi.tugraz.at-maass-publications.html).
Markram H, Wang Y, Tsodyks M. (1998). Differential signaling via the same axon of neocortical pyramidal neurons. Proceedings of the National Academy of Sciences of the United States of America. 95 [PubMed]
Pfeifer R. (2002). On the role of embodiment in the emergence of cognition: Grey Walter's turtles and beyond Proc. of the Workshop The Legacy of Grey Walter (Available online: http:--www.ifi.unizh.ch-groups-ailab-).
Schaal S, Ijspeert AJ, Nakanishi J. (2003). Learning attractor landscapes for learning motor primitives Advances in neural information processing systems. 15
Todorov E. (2000). Direct cortical control of muscle activation in voluntary arm movements: a model. Nature neuroscience. 3 [PubMed]
Todorov E. (2003). On the role of primary motor cortex in arm movement control Progress in motor control III.
Wessberg J et al. (2000). Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature. 408 [PubMed]
d'Avella A, Saltiel P, Bizzi E. (2003). Combinations of muscle synergies in the construction of a natural motor behavior. Nature neuroscience. 6 [PubMed]
van Beers RJ, Baraduc P, Wolpert DM. (2002). Role of uncertainty in sensorimotor control. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 357 [PubMed]
Davison AP, Frégnac Y. (2006). Learning cross-modal spatial transformations through spike timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]
Maass W, Joshi P, Sontag ED. (2007). Computational aspects of feedback in neural circuits. PLoS computational biology. 3 [PubMed]
Maass W, Sontag ED, Joshi P. (2006). Principles of real-time computing with feedback applied to cortical microcircuit models. Advances in Neural Information Processing Systems. 18