ANN

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artificial neural networks

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What Are Artificial Neural Networks? An Artificial Neural Network is a computer program designed to model the human brain Transforms inputs into outputs to the best of its ability

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Biological Structure Of Neuron

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Logical Structure Of Neuron

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Artificial Neural network types The artificial neural networks are basically of two types Feed-forward neural networks Recurrent neural networks

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need of using artificial neural network An ANN can create its own organisation or representation of the information it receives during learning time. A trained neural network can be thought of as an "expert" in the category of information it has been given to analyse. A neural network learns and does not need to be reprogrammed. It can be implemented in any application.

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APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS Computer games – intelligent agents, backgammon, first person shooters Control systems – autonomous adaptable robots, microwave controllers Pattern recognition – speech recognition, hand-writing recognition Data analysis – data compression, data mining, PCA, GTM Noise reduction – function approximation, ECG noise reduction Bioinformatics – protein secondary structure, DNA sequencing

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NEURAL IMPLANT – AN APPLICATION OF ANN Neural implants , often referred to as Brain implants, are technological devices that connect directly to a biological individual  brain which is usually placed on the surface of the brain, or attached to the brain's cortex.

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NEURAL IMPLANTS IN CONTROLLING MACHINES WITH OUR THOUGHTS Neural implants would allow people to control heavy machinery or robots with nothing but their own thoughts remotely. These “brain computers” are programmed with complex algorithms that can interpret thoughts.

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NEURAL IMPLANTS IN CONTROLLING MACHINES WITH OUR THOUGHTS Neural implanted Monkey controlling Robotic arm through His thoughts at MIT lab.

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Conclusion The ability of neural networks to learn and generalize makes them very powerful tools. They are useful for brain modeling and real world applications involving pattern recognition, controlling systems, neural implants etc. These are formed from trillions of neurons exchanging brief electrical pulses by computing complex algorithms. These algorithms that mimic biological structures are formally called ARTIFICIAL NEURAL NETWORKS .

References:

References [1] McCulloch, W.S. & Pitts, W.H. (1943). A Logical Calculus of the Ideas Immanent in Nervous Activity, Bulletin of Mathematical Biophysics, 5:115-137 [2] Ben Kröse & Patrick van der Smagt (1996) ,An introduction to Neural Networks [3] Konar , amit . Artificial intelligence and softcomputing : behavioral and cognitive modeling of the human brain / Amit Konar . [4] The scientific and engineers guide to data signal processing ,STEPHEN W.SMITH PH.D chapter-26 [5] Hertz, J., Palmer, R.G., Krogh. A.S . (1990)  Introduction to the theory of neural computation, Perseus Books. ISBN 0-201-51560-1 [6] Intel Wants a Chip Implant in Your Brain  by LIN EDWARDS (PHYSORG.COM) (November 23, 2009) [7]Intel: Chips in brains will control computers by 2020 By Sharon Gaudin November 19, 2009

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THANK YOU