The team hopes that by solving this equation at the neuron level, they will be able to build models of the human brain that measure in the millions of neuronal connections, which is now not conceivable. The team also mentions that this CfC model may be able to take visual training learnt in one setting and apply it to a completely different circumstance without any further effort, a process known as out-of-distribution generalisation. That is something that current-generation models cannot perform and would be a big step towards the generalised AI systems of the future.
