ABSTRACT
The survival of early humans was very much dependent upon their ability to run, climb, and reproduce, as well as their cognitive ability to hunt in groups, seek shelter, and use tools. It took their brains millions of years to evolve from an early primitive state to our current neural network. In short, a conventional education often treats human beings more like mindless machines than sensing and feeling organisms capable of thinking, wondering, reasoning, creating, and imagining. Therefore, digital computers are very good at computational processing while neural networks are good at cognitive operations such as pattern recognition, understanding a language, etc. Techniques to simulate our unique human neural networks are basically drawn from cognitive psychology and from biological models. The learning rule allows the response of the neuron to change with time, depending on the nature of the input signals.
