Why Pain Is Unpleasant

Written by Abraham Thomas

Emotions are nerve impulses.

The feel of paper andrepparttar flush of shame. Feelings and emotions are relayed as nerve impulses. Nerve endings or sensors report on feelings from tissues all overrepparttar 140663 body. These sensations include sharp pain, burning pain, cool or warm temperature, itching, muscle contraction, joint movements, soft touch, mechanical stress, tickling, flushing, hunger and thirst. Electrical excitation of certain parts ofrepparttar 140664 temporal lobe, cause intense fear to be produced in patients. Excitation of other parts caused feelings of isolation, loneliness, disgust, or even pleasure. The mind differentiated finely between these nerve impulses - to feel tired, hungry or much else. But, how couldrepparttar 140665 “pleasant, or unpleasant” quality of nerve impulses be explained? Why shouldrepparttar 140666 universal experience of pain be wretched and pleasure agreeable? What kind of code couldrepparttar 140667 mind use to differentiate between nice and awful? The book, The Intuitive Algorithm (IA), explains how mere nerve impulses could achieve this. That view is founded onrepparttar 140668 crucial IA evidence that instant pattern recognition – intuition - could underpinrepparttar 140669 processes ofrepparttar 140670 mind.

A seamless pattern recognition system.

Overrepparttar 140671 ages, science had speculated onrepparttar 140672 nature of human intelligence. The IA concept was a new view. Thatrepparttar 140673 wisdom ofrepparttar 140674 mind relied onrepparttar 140675 massive memories of nerve cells for combinations. The mind used intuition, a pattern recognition process. It was a logical elimination routine, which could instantly sift a single contextual answer from its immense knowledge base. It was this process, which enabled you to reach into your pocket and identify a key. Just by touch. Nerve cells could finely differentiate between combinations of sensations to recognize objects and events. Recognition was enabled by a combinatorial coding process by neurons. Such a recognition process was recently accepted by science and a Nobel Prize acknowledged that discovery in 2004. So, atrepparttar 140676 input end, kaleidoscopic combinations of millions of sensations were received. From these,repparttar 140677 mind instantly recognized events. Recognized events triggered contextual feelings. Feelings triggered allied drives. Drives fired sequences of remembered muscle movements. The circuit closed. All this was enabled by massive memories in neurons and, intuition. 100 billion nerve cells recognized events and delivered motor output, within a bare span of 20 milliseconds. The time betweenrepparttar 140678 shadow andrepparttar 140679 scream. So, from input to output,repparttar 140680 mind was a seamless pattern recognition system.

Intelligent drives.

The current feeling dictated purpose atrepparttar 140681 highest levels. A hierarchy of intelligences followed through. Atrepparttar 140682 second level, learned movements were inserted. Atrepparttar 140683 lowest level, fine motor coordination deliveredrepparttar 140684 final output – whether a spoken word, or a written line. A feeling expressed a purpose. A feeling of fear could dictate an escape drive, whose purpose was to achieve safety. That demanded instant responses, varying across species. A deer bounded away. A bird took flight. A fish swam off. Whilerepparttar 140685 activities of running, flying and swimming differed, they achievedrepparttar 140686 same objective of escaping. Such activities could not be stupid. Escape was hardly possible by heading intorepparttar 140687 predator. Increasingrepparttar 140688 distance from danger demanded uncommon cleverness. That objective could even be achieved by slipping into a safe sanctuary, inaccessible torepparttar 140689 predator. Likerepparttar 140690 underside of a rock. The system received intelligent contributions down torepparttar 140691 lowest levels. Purpose was expressed as feelings atrepparttar 140692 highest level and remembered drives operated at lower levels.

A drive, which assembled combinatorial memories of context

The nerve cell memories, which powered these intelligences were both inherited and acquired. The IA concept of nerve cell memories was supported by research. The study of cortical activity, while learning skills, presented a mystery to science. PET scans revealed that as a person learned a skill, cortical activity was initially high. But, with learning, it gradually reduced. Why did practiced effort require less cortical activity? Why should practice need less neural interactions? Surely, highly skilled activities should have more neural traffic? Science remained inrepparttar 140693 dark. However, mastering a skill needed attention. Landmarks had to be identified and remembered. Attention increased cortical activity. Those combinations of context were recorded byrepparttar 140694 drive channel. The IA concept suggested that learning involved memory at lower levels. The cortex laboured to teachrepparttar 140695 drive channel. The memories ofrepparttar 140696 drive channel neurons later responded appropriately, without cortical intervention.

A Typical Kobra

Written by Dr Kedar Joshi

A typical and/or ideal Kobra (Kokanastha Brahmin:repparttar one from Maharashtra, India) is :

White, ruthless, arrogant, egoistic, sharp, intelligent, precise, neat, tidy, stubborn, deep, simple, tolerant (often except with mankind), humorous, ironic, hardworking, determined, passionate, handsome, crazy, An artist, racist, introvert, commanding, optimist, bloody-minded, unromantic, learned, studious, boring, hot & short-tempered, cynic, feminine, practical, sadistic, depressed,

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