Throughout history, people have compared the brain to different inventions. In the past, the brain has been said to be like a water clock and a
telephone switchboard. These days, the favorite invention that the brain is compared to is a
computer.
We all know that computers are better than people are at remembering things
exactly and at performing complex numeric calculations with speed, But human brains still beat computers in a number of ways.
For one, humans can integrate information from many different variables and
stimuli, And they can learn by experience, observation and experimentation. Computers can't easily adapt to changing situations.
Computers can be programmed to perform outstandingly in a particular field,
but they are not able to function in multiple disciplines.
Our brain does a lot of things a computer does, like math, logic, analyzing
input, creating output, and storing and retrieving information.
But brains do a lot of things that computers cannot. Our brains feel
emotions, worry about the future, enjoy music and a good joke, taste the flavor
of an apple, are self-aware, and fall in and out of love.
Our brains are capable of analyzing new and unfamiliar situations in a way
that computers can't.
We can learn from our past experiences and make inferences about the new
situation.
We can experiment with different approaches until we find the best way to
move forward. Computers aren't capable of doing that -- you have to tell a
computer what to do.
Albert Einstein’s famous equation E=MC2 was not the result of a computer algorithm;
it’s the result of a human brain.
Our brain has a kind of “built-in Google,” in which just a few cues (key
words) are enough to cause a full memory to be retrieved.Of course, similar things can be done in computers, mostly by building
massive indices of stored data, which then also need to be stored and searched
through for the relevant information.
Another difference is that the human brain has an estimated storage
capacity of 2.5 petabytes of information which you can’t find in a
supercomputer also.
At the end, the
idea to build this type of machine which can perform similar to our brain comes
in a human mind.
If we want
to build biological models of the brain than we have to include some of 225
million billion interactions between cell types, neurotransmitters,
neuromodulators and axonal branches, which is not so easy, Because The human brain
is incredibly complex. We still don't have a full understanding of how the brain
works. Without this understanding, it's challenging to create a
meaningful simulation of the brain.
