Just like occupation and sociability play a key role in the spread of disease, so too do the number of neurons, synaptic plasticity and long-term potentiation when talking about neural percolation.
This is similar to a teacher spreading an infection to a whole community through contact with the students and subsequently with the families than an isolated businessman that works from home.
[6] Percolation has been developed outside of the cognitive sciences; however, its application in the field has proven it to be a useful tool for understanding neural processes.
Researchers have focused their attention not only studying how neural activity is diffused across networks, but also how percolation and its aspect of phase transition can affect decision making and thought processes.
[5] Percolation theory has enabled researchers to better understand many psychological conditions, such as epilepsy, disorganized schizophrenia and divergent thinking.
Researchers are able to facilitate a better understanding of these conditions because "the neurons involved in a seizure are analogous to the sites in a percolating cluster".
The majority of these studies focus on the application of percolation theory to neural network processing from a computational approach.