Neurocomputing: An Introduction

  • Bipin Kumar TripathiEmail author
Part of the Studies in Computational Intelligence book series (SCI, volume 571)


Human brain is the gateway to the deepest mystery of modern computing science, which confines all the trump cards in the final frontier of technical and scientific inventions. It is an enigmatic and quaint field of investigation having long past and was always being a remarkable interesting area for researchers. The crucial characteristic of human intelligence is that it is evolving (developing, revealing, and unfolding) through genetically ‘wired’ rules and experience. Neurocomputing is the branch of science and engineering, which is based on human like intelligent behaviors of machines. It is a vast discipline of research that mainly includes neuroscience, machine learning, searching and knowledge representation. The traditional rule-based learning is now appears to be inadequate for various engineering applications because it is incompetent to serve increasing demand of machine learning when dealing with large amount of data. This opened up new avenues for the nonconventional computation models for such applications. Hence, it gives rise to new area of research, which is named as computational neuroscience. This chapter argues that we need to understand evolution of information processing in the brain and then use these principles when building intelligent machines through high dimensional neurocomputing.


Neural Network Artificial Neural Network Activation Function Computational Neuroscience Artificial Neuron 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer India 2015

Authors and Affiliations

  1. 1.Computer Science and EngineeringHarcourt Butler Technological InstituteKanpurIndia

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