RANI is a multidisciplinary group working at the interface between Neurosciences with all other fields of science where human decision making is a key issue.

The brain is considered a Distributed Intelligent Processing System (DIPS) because neurons are assumed to be agents specialized in solving defined tasks and reasoning is considered to be the result of the action of a set of neurons enrolled in solving a given problem.

Conflict is a common occurrence in any distributed processing, because different agents may process the same information in distinct ways. While conflict remains low, consensual algorithmic processing may be used to solve it. The solution of conflict above a given level The only possible solution to solve conflict if it is above a certain level requires a broad information distribution among agents. Quantum computation is being proposed to allow huge amounts of information to be widely distributed at low costs.

Here, consciousness is hypothesized to be the result of neural quantum computations to solve complex tasks whose solution involves large amounts of conflict. While conflict remains low unconscious algorithmic processing suffices to handle life, but the complexities of certain decision-makings demand conscious neural quantum computations.

RANI developed an EEG technique that uses the entropy of the correlation between the brain activity recorded by the different electrodes to map the enrollment of widely distributed set of neurons for solving cognitive tasks such as language understanding; arithmetic calculation; humor and decision-making about complex issues such as dilemma judgment, voting, etc. This technique is also being used to study the neurocognitive development of children at the school.