Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning

Information processing via physical soft body

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Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots

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Frequency modulation of large oscillatory neural networks

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Exploiting short-term memory in soft body dynamics as a computational resource

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Design and control of compliant tensegrity robots through simulation and hardware validation

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Quantifying control effort of biological and technical movements: An information-entropy-based approach

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Automated Design of Complex Dynamic Systems

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Experimental demonstration of reservoir computing on a silicon photonics chip

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Quantifying Morphological Computation

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Parallel photonic information processing at gigabyte per second data rates using transient states

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Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures

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Morphological Computation and Morphological Control: Steps Toward a Formal Theory and Applications

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Towards a theoretical foundation for morphological computation with compliant bodies

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The role of feedback in morphological computation with compliant bodies

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Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing

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Generating Coherent Patterns of Activity from Chaotic Neural Networks

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