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Neuroscience handling big data still lacks a theoretical framework or even a basic principle that convert brain data into basic knowledge and understanding. Vast amounts of information end up being counterproductive by injecting uncertainty into existing global understanding while adding new levels of complexity.
A creative application of the new and emerging technologies is required, along with further advances in data analysis methods.
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Even understanding the simplest parts of the brain is beyond our reach.
Scientists have been carrying out experiments and tests on the brain to understand its many functions and also to manipulate brain activity. New, increasingly detailed maps of the brain are now being drawn out.
Some researchers envision the brain as an operating system that is ‘installed’ on neural hardware. This naive viewpoint assumes that brains and minds are identical in all living creatures, and can be separated into neat categories like hardware and software.
Certain activities in nature, such as how a group of tiny fish move in response to an attack from a bigger fish, are based on the behaviour of individuals who influence their entire group.
Certain phenomena cannot be explained by a single activity, where individual components work in tandem with each other and it is hard to pinpoint where the process starts or ends. The workings of such a phenomenon, known as Strong Emergence, cannot be categorized or bracketed in a single...
By considering the brain as a computer, we assume that it functions as a series of linear steps. However, the brain is a visually breathtaking three-dimensional network of complex neural nodes that are interconnected both internally and externally.
We have been taught that our brain is just a biological computer. It is actually an integrated and highly evolved structure that is shape-shifting and extremely adaptive towards all kinds of stimulation.
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