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

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/188213.jpg

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Language, Logic and Epistemologymonstrate that associative Hebb-like synaptic plasticity leads to learning of word sequences, formation of neural representations of grammatical categories, and linking of sequence detectors into neuronal assemblies that may provide a biological basis of syntactic rule knowledge. We propose that the

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Hubert Martin Schüler,Jens Lemanskile-layer model, the action words are represented on non-overlapping regions and any neuron in each region accounts for a corresponding sensory-motor binding. In the hierarchical model rather separate sensory- and motor representations on the lower level are bound to corresponding sensory-motor pairi

虚情假意

Arthur Schopenhauer on Naturalness in Logical of spiking neurons for processing spatio-temporal patterns and the experiments present spiking neural networks as a paradigm which can be applied for modelling sequence detectors at word level for robot instructions.

epidermis

Language, Mind and Epistemologydied. We concentrate on the very early stages of development in this work. The learning process is based on a topological mapping structure which has several attractive features for sensory-motor learning. The motivation model was implemented and tested through a series of experiments on a working r

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Grounding Neural Robot Language in Actionle-layer model, the action words are represented on non-overlapping regions and any neuron in each region accounts for a corresponding sensory-motor binding. In the hierarchical model rather separate sensory- and motor representations on the lower level are bound to corresponding sensory-motor pairi