The Secret of IntuitionWritten by Abraham Thomas
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9. Nerve cells have memories. The next clue to intuition pointed to nerve cell as a potent recognition machine. The insight related to recently announced discovery that nerve cells used a code for recognition of smells. A combinatorial code. That discovery was awarded a Nobel Prize in 2004. It was a code, which recognized smells. But, you needed to remember a smell to recognize it. That memory had to be stored and recalled. And, book, The Intuitive Algorithm, explained how a combinatorial code logically demanded a memory for combinations. Each nerve cell could remember millions of combinations and respond to recognized patterns. That major discovery also implied that coding could grant a galactic memory to nervous system. The secret of human memory was a puzzle sought round world by thousands of scientists. Yet, massive memories could reside so obviously in combinatorial codes of nerve cells. 10. Object Recognition. But, how could recognition be organized within this vast, enigmatic, neural circuit? Many scientists favoured view of mind as a single collective network. Friston suggested example of interacting waves in a pond. A stone dropped into pond affected whole. According to them, complex internal computations created intelligence. As opposed to this, medical texts reported that mind had a hierarchy of intelligences, which performed independent tasks. Each intelligence was separate – like association region that recognized a pair of scissors using context of its feel. If you injured this region, you could still feel scissors with your eyes closed, but you would not recognize it as scissors. You still felt context, but you would not recognize object. The IA logic could enable a group of nerve cells to evaluate context and recognize. So, intuition could enable nerve cells in association regions to recognize objects. Medical research reported many such recognition regions. 11. Event recognition. Instant pattern recognition was possible. The mind could be a pattern recognition system, which recognized objects and triggered motor outputs. Beyond mere object recognition, mind could also recognize events. As against static objects, events were dynamic. There were reported cyclic timing networks in nervous system, which could use IA to recognize events. Just way a bank computer recognized a fraudulent activity. An event could be a simple verb, such as “walk,” or a complex idea, say, achievement of democracy. The massive memories in nerve cells could enable them to recognize intricate events, like war, or a mathematical theory. Thought was recognition of events. Recognition of dynamic present from context of complex remembered patterns. The concept has also been explained in The Intuitive Algorithm. 12. The mind – seamless pattern recognition. The mind was a recognition machine, which instantly recognized context of its ever changing environment. The system triggered feelings when particular classes of events were recognized. The process was achieved by inherited nerve cell memories accumulated across millions of years. When mind recognized events, it triggered anger, or fear. And feelings triggered actions. IA could enable a feeling to move a muscle. Actions were sequences of muscle movements. A drive. Drive sequences could be remembered by nerve cells. Feel anger and pull trigger. A single feeling could trigger a drive. That was how we were driven. So circuit closed. Half a second for a 100 billion nerve cells to use context to eliminate irrelevance and deliver motor output. The time between shadow and scream. So, from input to output, mind was a seamless pattern recognition machine. 13. Consciousness. Machines were perceived to be clanking mechanical things. If intuition was a pattern recognition algorithm, mind could be one such machine. But, reader could protest that we were different. After all, we could see, recognize and feel. We had a free will. But, pattern recognition could explain that too. Science reported that there was a region, which received sensory perceptions, recalled memories, and recognition images from all regions. This region was also known to be able to direct attention. They called these prefrontal regions, seat of consciousness. We identified ourselves with that region. The final seat of wisdom, which willed. This was seat of a superior intelligence. Unfortunately, in spite of an exercise of will, reality persisted. Will, or a more powerful emotion decided. It was primitive limbic system, which made final decision. Emotions needed to be stilled so that consciousness could be free to arrive at calm actions. Thus, stilling emotions became prime objective of sages, across millenniums. 14. Religion and mysticism. The final insight showed limitations of intuition. This incredibly powerful recognition machine could creatively connect to memories of millions of years of history and even, divine. Intuition was an elimination algorithm. It was a subconscious process. Creative and mystic inputs were timid and ethereal. Faith and expectation encouraged them, while doubt, or suspicion eliminated them. Inevitably, such a relentless elimination process often set scientific minds at loggerheads with religion and mystic insights. Because science was, by its very analytic nature, suspicious. So, without access to whole, wisdom of science was limited. These ideas, and more, have been suggested in The Intuitive Algorithm, an unusual new book. These conclusions are yet to be accepted by science. It goes against millions of pages of their favourite theories. But book has a powerful logic, which will ultimately prevail. In meanwhile, open minds around world could benefit from its insights.
Abraham Thomas is the author of The Intuitive Algorithm, a book, which suggests that intuition is a pattern recognition algorithm. The ebook version is available at www.intuition.co.in. The book may be purchased only in India. The website, provides a free movie and a walk through to explain the ideas.
Hall MathWritten by Hall
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