Publications
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"A practical guide to applying echo state networks",
Neural Networks: Tricks of the Trade, 2, vol. 7700: Springer Berlin Heidelberg, pp. 659-686, 2012.
Download: PracticalESN.pdf (624.47 KB)
"Reservoir Computing and Self-Organized Neural Hierarchies",
School of Engineering and Science, vol. PhD: Jacobs University Bremen, 2012.
Abstract
Download: Mantas_Lukosevicius_PhD_thesis.pdf (3.13 MB)
Echo state networks with trained feedbacks,
, no. 4: Jacobs University Bremen, February, 2007.
"Reservoir Computing Trends",
KI - Künstliche Intelligenz, pp. 1-7, 05/2012.
Abstract
Download: KI_reservoir_computing.pdf (574.71 KB)
Time warping invariant echo state networks,
, no. 2: Jacobs University Bremen, May, 2006.
"Self-organized reservoirs and their hierarchies",
Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), vol. 7553, Lausanne, Switzerland, Springer, pp. 587-595, 2012.
Download: Self-organized_reservoir_hierarchies_ICANN12.pdf (315.2 KB)
"Reservoir computing approaches to recurrent neural network training",
Computer Science Review , vol. 3, no. 3, pp. 127-149, August, 2009.
On self-organizing reservoirs and their hierarchies,
, no. 25: Jacobs University Bremen, October, 2010.
Exploration of effects of different network topologies on the ESN signal crosscorrelation matrix spectrum,
: School of Engineering & Science at International University Bremen, 2004.
"Minimal Energy Control of an ESN Pattern Generator",
Jacobs University Technical Report, no. 26: Jacobs University Bremen, 2011.
Abstract
"Dissociable ERP profiles for processing rules vs instances in a cognitive sequencing task",
NeuroReport, vol. 11, no. 10, pp. 1129-32, 04/2000.
Abstract
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"Cognitive sequence processing and syntactic comprehension in schizophrenia",
NeuroReport, vol. 11, no. 10, pp. 2145-9, 07/2000.
Abstract
"A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task",
Journal of Neuroscience, vol. 30, no. 25, 2010.
Abstract
"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), vol. 14, no. 1-2, pp. 5-19, 2003.
Abstract
"What makes a dynamical system computationally powerful?",
New Directions in Statistical Signal Processing: From System to Brains: MIT Press, pp. 127-154, 2007.
Abstract
"A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback",
PLoS Computational Biology, vol. 4, no. 10, pp. 1-27, 2008.
Abstract
"Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning",
Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, 2009.
Abstract
"Edge of chaos and prediction of computational performance for neural microcircuit models",
Neural Networks, vol. 20, no. 3, pp. 323-334, 2007.
Abstract
"Towards a Platform-Independent Cooperative Human-Robot Interaction System: I. Perception",
IROS IEEE/RSJ International Conference on Intelligent Robots and Systems, 10-2010.
Abstract
Download: 0898.pdf (909.9 KB)
"Learning to Collaborate by Observation ",
IEEE Humanoids Workshop on developmental psychology contributions to cooperative human robot interaction, 2009.
Abstract
Download: Humanoids2009vLalleWarnekenDominey.pdf (805.03 KB)
"Linking language with embodied and teleological representations of action for humanoid cognition",
Frontiers in Neurorobotics, vol. 4, 2010.
Download: LAllee2010FN.pdf (1.83 MB)
"Learning to Collaborate by Observation",
International Conference on Epigenetic Robotics, 2009.
Abstract
Download: LWDepirob092pages.pdf (129.25 KB)


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