Titlebook: Biomimetic Neural Learning for Intelligent Robots; Intelligent Systems, Stefan Wermter,Günther Palm,Mark Elshaw Book 2005 Springer-Verlag B

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Hubert Martin Schüler,Jens Lemanskior neuron system in order to produce learning by imitation by combining high-level vision, language and motor command inputs. The models learn to perform and recognise three behaviours, ‘go’, ‘pick’ and ‘lift’. The first single-layer model uses an adapted Helmholtz machine wake-sleep algorithm to ac

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Arthur Schopenhauer on Naturalness in Logiceaky Integrate-And-Fire (lIAF) spiking neurone with Active Dendrites and Dynamic Synapses (ADDS) [1,2,3]. The architecture contains several main modules associating information across different modalities: an auditory system recognising single spoken words, a visual system recognising objects of dif

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Davidson and Quine on Observation Sentencese functionalities of the human articulation and is moved by tendons connected with an elastic actuator located in the robot’s pelvis. We implemented and tested an innovative control architecture (called elastic-reactive control) that permits to vary the joint stiffness in real time maintaining a sim

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