HIGHLIGHTS
SUMMARY
The stochastically emitted biophotons update a random subset of synaptic weights in each training trial, meaning that only a percentage of the neurons transmit backward information at any given time. In a neural_network, post-synaptic neurons consume more ATP molecules than pre-synaptic ones which results in more working ion_channels in the post-synaptic n eurons47. This can explain how biophotons might relay information backwards across the different layers of the neural_network in the brain. The greater the synaptic weight is, the more ion_channels are working in the post-synaptic neuron, which requires more . . .
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