Autism Spectrum Variability in Symptoms May Be Explained by Understanding Autism as Neuronal Dopamine Metabolism Disorder and Firing Asynchronicity Disorder in Select Cells

After reading a recent study that looked at what factors may contribute to the efficiency of natural neural networks within brain tissue, a study done in the hopes of supporting more efficient artificial neural networks in computer systems, it occurred to me that there may be a connection between the findings of that study and previous autism studies that speculated erroneously that autism may be caused by proximal clumping of neurons irregularly throughout the brain. I postulate that rather than proximal clumping being the culprit, something which has already been debunked, an unusually wide firing time variability between healthy and unhealthy neuron cells caused by altered dopamine metabolism may be to blame.

“Study A” found definitively that neural networks in the brain work more efficiently because some neurons take “longer to decide upon” a response to a stimulus while others respond almost instantly. In neuronal systems that uniformly respond quickly or slowly, the result is more frequently an incorrect decision by the logical circuit. This makes good sense when you consider that this has always been true on the macro level when it comes to decision making. Different cells, different neurons, and even different regions of the brain not all reaching a conclusion at the same moment allow for a sort of dialogue to take place that forms a more powerful consciousness than what is possible where all neurons respond in unison (because it is impossible to speak and listen at the same time.)