CA4
Neural Networks

ANNs were originally intended as part of a Component Technology for solution of computationally intensive tasks such as preprocessing of natural signals, pattern classification and recognition, coordination of movement in complex mechanisms, decision making based on uncertain input and high definition animated graphics.

Even supercomputers are soon unable to cope with the growing dimensionality of such problems.

So something new was needed: massively parallel computation ?'

Similarities with brain.             -Collective computation
	-adaptive changes of System parameters

Note - increase in parallel computation or even its use may not be sufficient for duplication or even imitation of brain function.

Still dedicated only to restricted tasks. Many questions remain to be answered.

However functions and processes in the nervous system are beginning to be understood.

There are two camps.

I. Artificial NNs need not do the same as biological counterparts. Stability and accuracy can be orders of magnitude higher than biological components.

2. Use NNs to model the mind ?

Biology , Information theory , physics, mathematics, psychology and medicine all contribute to the field of Neural computation.

This field seeks to simulate "biological intelligence" in artificial neural networks
the structure and dynamics of which imitate the function of biological neural systems.