New Delhi, May 10: In a recent study, scientists at the University of Texas at Austin and Yale University used a computer afflicted with schizophrenia to understand human brains better. The scientists reported that computer networks that can't forget quickly enough can show signs of a kind of virtual schizophrenia which was utilized to delve deeper into the inner workings and disorders in human brains.
The research team made use of a virtual computer model, or 'neural network', to imitate the excessive release of dopamine in the brain and found that the network remembered the memories in a markedly schizophrenic-like approach.
Uli Grasemann, a graduate student in the Department of Computer Science at The University of Texas at Austin, said, "The hypothesis is that dopamine encodes the importance-the salience-of experience. When there's too much dopamine, it leads to exaggerated salience, and the brain ends up learning from things that it shouldn't be learning from."
The study, published in 'Biological Psychiatry', strengthens a hypothesis known as the hyper learning hypothesis, which believes that in schizophrenia, brain loses the ability to forget as much as a normal brain does.
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