Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2016; 25th International C Alessandro E.P. Villa,Paolo Masulli,Antonio Javier Confe

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Method for Estimating Neural Network Topology Based on SPIKE-Distanceion analysis to the SPIKE-distance. The SPIKE-distance is a parameter-free measure which can quantify the distance between spike sequences. Using the SPIKE-distance, we estimate the network topology. As a result, the proposed method exhibits higher performance than the conventional method.

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https://doi.org/10.1007/978-3-663-10059-1 using a Spiking Neural Network (SNN), with Address-Event-Representation (AER) coding, and it is classified between some fixed activity behaviors. This works presents the full infrastructure deployed in Doñana to collect the data, the wearable device, the SNN implementation in SpiNNaker and the classification results.

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https://doi.org/10.1007/978-3-531-90334-7alanche dynamics. In this study, we used computational modeling to investigate the influence of intrastriatal inhibition and corticostriatal interplay as important factors to understand the experimental findings and overall information transmission among these circuits.

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Artificial Neural Networks and Machine Learning – ICANN 2016978-3-319-44778-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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