The segmentation theory of events, on which the published study is based, argues that the brain acts on the grounds of constant predictions based on previous experience; When these predictions fail, for example because there is an unexpected change of context, the brain interprets this moment as a boundary event, which delimits
the neural coding of the lived experiences.
Not exact matches
In a paper published in PLOS Computational Biology in May, computational neuroscientists in the United Kingdom and Australia found that when
neural networks using an algorithm for sparse
coding called Products
of Experts, invented by Hinton in 2002, are exposed to the same abnormal visual data as
live cats (for example, the cats and
neural networks both see only striped images), their neurons develop almost exactly the same abnormalities.
Chapin ranks the
neural code right up there with two other great scientific mysteries: the origin
of the universe and
of life on Earth.
Understanding this
neural code could help improve the
lives of people with paralysis or with motor deficits from neurological diseases such as a stroke.
I think that they could make many more advancements in human
life to aid in personal disintegration (Evolution
of the personality) and better self control using cheat
codes in the human mind taking advantage
of Neural Linguistic Programming techniques.