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.