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

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Knowing and Being in Ancient Philosophy Bayesian network, consisting of nodes and directed arcs, is a convenient vehicle to model gene networks. We described a nonlinear model for the rate of gene transcription. Levels of gene expression are continuous in the model. We employed a genetic algorithm to evolve the structure of a Bayesian ne
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One and Many in Plato’s Metaphysicse describe our protein-emulating agent-based simulation infrastructure, which is used for both types of computations, and the few agent properties sufficient for dynamic self-assembly. Examples of protein-network-based computation and self-assembling software are presented. We describe some novel ca
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https://doi.org/10.1057/9781137465245prefrontal cortex. Not only are they more biologically plausible than previous artificial RNNs, they also outperformed them on many artificially generated sequential processing tasks. This encouraged us to apply LSTM to more realistic problems, such as the recognition of spoken digits. Without any m
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