How does the Human Brain Predict Future Events? how is it related to Data Science?

Well we all suffer from a condition called Brain Overload. Brain overload occurs from a variety of factors, each of which arises from taking in new information in the form of memories. Each exotic scenario of our lives will be saved strongly in our brains. Our brain starts to predict situations based on past memories.

How does the Human Brain “Predict the Future” and anticipate the precise timing of finely-coordinated muscle movements in advance?

Brains learn how to anticipate future occurrences from patterns. This process is called “anticipatory timing”. A research from the University of California at Berkeley has identified, for the first time that the brain uses two separate brain regions to predict the future for anticipatory movements.

According to the latest findings on anticipatory timing by Breska and Ivry, the cerebellum and basal ganglia split their time keeping responsibilities depending on the specific task at hand. When the calculation of exactly when to coordinate a movement relies on past experiences, the cerebellum seems to be the key player.

The bottom line: Rhythmic timing appears to be primarily a function of the basal ganglia and timing based on memories of prior experience is more cerebellum-based. Notably, in cases where someone has damage to his or her cerebellum or basal ganglia in a way that causes one of these two neural clocks to misfire, the other region seems to have the ability to pick up the slack and compensate.

"Whether it's sports, music, speech or even allocating attention, our study suggests that timing is not a unified process, but that there are two distinct ways in which we make temporal predictions and these depend on different parts of the brain.

Well to conclude Data Science is all about predicting the future with historical data, events or situations sometimes. A Data Scientist can collect the required information through Data Mining skills and apply required prediction models to find factors to improve businesses. These prediction models can be built for all kinds of business categories, Data Science is an Interdisciplinary field of study.

Data science is the field of study that combines domain expertise, programming skills, knowledge of mathematics and statistics to extract meaningful insights from Data/Events. Data science practitioners apply Machine Learning Algorithms to Artificial Intelligence (AI) systems to perform tasks that usually requires human intelligence. In turn, these systems generate Insights which Win Research Centre (WRC) can translate into tangible business value (WRC, 2020).