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    Neural Interfacing

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    Neural Interfacing In the motion picture “RoboCop” scientists during a future time implanted a human head into the body of a futuristic robot creating an almost unstoppable police officer. During 1987, when this movie was produced, the idea of man combining with machine was considered pure fantasy. However, advances in technology in the year 2000 and further studies in recent years have proven that this idea may, in time, become a reality. On October 13th 2003, sciencedaily.com in their article

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    Neural Masculization and Feminization

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    Neural Masculization and Feminization American society separates two sexes and distinguishes two genders. Through innumerable cues, we are taught that men and women are different. Most public places provide separate restrooms for men and women. Most department stores sell men's and women's clothes in separate departments. Even separate clothing size scales exist for men and women. Many health forms and applications for schools or jobs inquire about sex. Clubs and organizations, such as Girl

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    Neuromodulation and Neural Plasticity

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    Neuromodulation and Neural Plasticity Neuromodulatory synaptic transmission differs from classical chemical synaptic transmission in both mechanism and function. The function of a classical synapse is to convey information rapidly from the presynaptic neuron to its target cell, producing a short-term effect. The neuromodulatory synapse may do the same initially, but its primary function is to transmit information that will have long-lasting effects on the postsynaptic neuron's metabolic activity

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    Neural Cells as Harmony Detectors

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    Neural Cells as Harmony Detectors The issues of harmony have notably low profile in the current AI research. Meanwhile, when it comes to brain architecture, harmony plays the central role. As we hope to demonstrate in this essay, neural cells act primarily as local harmony detectors. On a less local scale, the consensus is that perceptions correspond to certain stable periodic patterns of neuron firing. A harmony-based architecture would probably be more successful than current AI paradigms

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    Assessing the Neural Mechanisms of Anxiety

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    A "Lesser Wrong" Model of Assessing the Neural Mechanisms of Anxiety The objective of our class and the neuroscientific community is to understand the complex neural pathways of the brain. The neural mechanisms of anxiety have long puzzled researchers. Thus far, the belief is that two structures of the limbic system known as the lateral septum and the amygdala regulate anxiety. The present paper will examine the role of the lateral septum and the amygdala in propagating anxiety (supporting the

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    Neural Networks

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    Neural Networks A neural network also known as an artificial neural network provides a unique computing architecture whose potential has only begun to be tapped. They are used to address problems that are intractable or cumbersome with traditional methods. These new computing architectures are radically different from the computers that are widely used today. ANN's are massively parallel systems that rely on dense arrangements of interconnections and surprisingly simple processors (Cr95, Ga93)

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    A Neural Network Primer

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    A Neural Network Primer This paper gives the basics of the subject of neural networks. It is recommended for those new to the subject of neural networks and only assumes that the reader has a knowledge of basic algebra. Please feel free to distribute this paper as you wish but please distribute the entire paper without deletions and limit your corrections and additions to the space below the bottom line after the last paragraph of the original text. If you wish for your correction or modification

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    Neural Networks

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    Neural Networks Abstract This paper will provide an introductory level discussion of neural networks within the field of artificial intelligence. This discussion will briefly cover the history of the neural network as well as recent advances within this field. In addition, several real world applications of neural networks will be discussed. Introduction The primary goal in the field of artificial intelligence is to construct a machine with an intellect comparable to that of a human. This

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    The Neural Score for Language and Related Action In the web page, GESTURAL EQUIVALENCE (EQUIVALENTS) OF LANGUAGE (http://www.percep.demon.co.uk/gesture.htm) , the development of language with respect to movements of the arms and hands are discussed. It is proposed that there are certain neural patterns, a score, to these movements that correspond to certain sounds. One can get so general as to say that there is one pattern of movement for each phoneme in language. Phonemes are the basic sounds

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    Neural Vision System

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    Neural Vision System Researchers at the University of Houston in Texas have developed a neural vision system that allows a robot to adapt to a changing world. The machine is designed to explore, experience (for better or worse) and then make future decisions based on that experience: typical behavior for any neural device. What is unusual is its ability to "learn new tricks" if the rules it learned through experience no longer apply. In both simulated and hardware experiments, the robot was shown

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