Neural coordination can be enhanced by occasional interruption of normal firing patterns: a self-optimizing spiking neural network model.
Neural Networks February 2015 Alexander Woodward, Tom Froese, Takashi Ikegami
The state space of a conventional Hopfield network typically exhibits many different attractors of which only a small subset satisfies constraints between neurons in a globally optimal fashion. It has recently been demonstrated that combining Hebbian learning with occasional alterations of normal neural states avoids this problem by means of self-organized enlargement of the best basins of...
DOI: 10.1016/j.neunet.2014.08.011 (opens in new tab)
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Global neural coordination
Hopfield network
Psychedelics
Self-optimization
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