Since it is fashionable these days to compare the performance of connectionist models with humans (even though these models, often referred to as deep learning only stand a chance of competing with humans in extremely narrow contests), there is a popular belief that these models powered by modern GPU's somehow approach the computational power of the human brain.
Now the latter is really not defined, since we don't even know how brains work and therefore it is extremely hard to estimate at which level of abstraction to assign the fundamental computation but we can still play with some numbers just to get some vague idea of where are we.
So let us start with neurons: average human brain has roughly 80 billion neurons. The popular belief is that neurons are responsible for the function of the brain but there are plenty other cells there, called glia, whose function is not yet understood. So it is very likely there are actually orders of magnitude more cells that somehow realize the computational function, but for now let us stick to the "official" 80B figure.
Each of these neurons is an extremely complex cell, with membrane, electrochemical dynamics of action potentials … Read more...