Machine learning constructs map of the brain's neural circuit

According to experts in the field, the brain is considered to be one of the most complex systems in existence. While significant headway has been made to understand how the brain works, researchers tend to generate more questions than answers about this entity. However, the creators of the machine learning model - a team from Kyoto University - believe it has the potential to explain the difference in neuronal computation in different brain regions more clearly. To comprehend the brain, neurologists must look at the neurons that construct it. Our entire world of perception runs across these billions of cells in our head and that is compounded by the exponentially larger number of connections – known as synapses – between them.