The human brain is a fascinating thing indeed. It determines our thoughts, actions, behavior and emotions. The brain helps us analyse and interact with the external world in the form of thoughts and feelings. So, the question has to be asked. How exactly is the brain, an organ that takes up only 2% of our body weight, able to comprehend human-environment interactions? A clear and concise understanding about the functioning of the human brain seems to be one of the most demanding tasks faced by humanity.
Fortunately,
the field of information and technology has progressed at such a rate that
nothing seems out of reach anymore. Computational neuroscience is the field of
study in which mathematical tools and theories are used to determine the
functioning of the Human brain. Theory and computational modeling play a vital role in
tackling this challenge. The challenges being- First, massive data from neurons
demand out of the box thinking to analyse. Second, the brain systems are too
complex to comprehend by experiments and intuition alone. Neuroscience is an
incredibly vast domain, but remains, without question, the best approach to
understand the inner workings of the brain.
Machine learning has been increasingly used in
data analysis and computational modeling in brain research. The current
framework of artificial intelligence has been largely limited to input–output
mappings such as object recognition or language translation. Discovering the
working mechanism of cognitive functions such as multi-tasking and creativity,
when translated into mathematical algorithms, will influence the coming
generation of Information exchange and technology.
No comments:
Post a Comment