Titlebook: Biologically Inspired Approaches to Advanced Information Technology; First International Auke Jan Ijspeert,Masayuki Murata,Naoki Wakamiya

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Language Production and Understandingth DOG does not explicitly account for the effects of disinhibition. Because of this, complex brightness-contrast (B-C) illusions such as the White’s effect cannot be explained using DOG filters. We discovered that a model based on . in biological retinas allows us to explain subtle B-C illusions. F

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Language Production and Understandinghysically embodied agents but also for software agents in the information technology environment. In this paper, we investigate this issue in the context of a simple biologically motivated sensorimotor agent. We observe and acknowledge, as many other researchers do, that action plays a key role in p

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William James’s Psychology of Knowingke-frequency adaptation, refractory period and voltage threshold modulation properties. We investigate the statistics of the circuit’s output response by modulating its operating parameters, like refractory period and adaptation level and by changing the statistics of the input current. The results

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Understanding, Knowing and Justification, organisms. Cellular division is one of the two processes that allow the multicellular organization of complex living beings, and is therefore a key mechanism for the implementation of bio-inspired features such as development (growth) and self-repair (cicatrization). In particular, we shall describ

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https://doi.org/10.1007/978-94-017-2018-2ese robots become continuous and high dimensional, it results in time-consuming process. In order to adopt the RL for designing the controllers of such complicated systems, not only . but also . should be taken into account. In this paper, we introduce an adaptive state recruitment strategy which en

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One and Many in Plato’s Metaphysics is then studied and mapped onto the framework of an artificial neural network (ANN). The computational requirements to run this ANN model are then estimated. The conclusion is that it is possible to simulate the mouse cortex today on a cluster computer but not in real-time.