Learning by stimulation avoidance: A principle to control spiking neural networks dynamics
Learning based on networks of real neurons, and learning based on biologically inspired models of neural networks, have yet to find general learning rules leading to widespread applications. In this paper, we argue for the existence of a principle allowing to steer the dynamics of a biologically ins...
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Veröffentlicht in: | PloS one 2017-02, Vol.12 (2), p.e0170388-e0170388 |
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Sprache: | eng |
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