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. 2018 Jun 26;12:429. doi: 10.3389/fnins.2018.00429

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Copyright © 2018 Martín-Vázquez, Asabuki, Isomura and Fukai.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Learned activity patterns in the reservoir network model. (A) The model is schematically illustrated. (B) Lever movements in 18 trials provided teaching signals for learning. Time 0 refers to the onset of lever pull. (C) Typical examples of the independent components of LFP (yellow) and their low-pass-filtered versions (blue) are shown. (D) The average normalized responses of all neurons in five different conditions: external input to the reservoir involved all ICs or just one IC. The activities of individual neurons were averaged over repeated trials and sorted according to the onset time of activation (section Materials and Methods). (E) Examples of the average responses are shown for Hold-related or Movement-off (top), Movement-related (middle) and Pre-movement (bottom) neurons.