Now researchers at the Stanford University School of Medicine have discovered the sculptor behind that paring process: the immune system.
The value of this discovery goes beyond understanding how connections are weeded out in a normal, developing brain. The finding could also help explain some neurodegenerative disorders - such as glaucoma, Alzheimer's disease and multiple sclerosis - that result from the loss of too many neuronal connections, which are known as synapses.
But according to an unknown model of the brain (see
http://en.wikipedia.org/wiki/Gaussian_adapation#the-evolution-in-the%20b...)
an algorithm such as Gaussian adaptation may - according to its theory - simultaneously maximize the mean fitness and disorder (entropy, average information) of signal patterns, thus climbing a mental landscape efficiently obeying the Hebbian rule of associative learning. This disorder and average information may be of crucial importance to the success of the process.
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