Neural Networks are interesting for quite a lot of very different people:
Computer scientists want to find out about the properties of non-symbolic information processing with neural nets and about learning systems in general.
Statisticians use neural nets as flexible, nonlinear regression and classification models.
Engineers of many kinds exploit the capabilities of neural networks in many areas, such as signal processing and automatic control.
Cognitive scientists view neural networks as a possible apparatus to describe models of thinking and consciousness (High-level brain function).
Neuro-physiologists use neural networks to describe and explore medium-level brain function (e.g. memory, sensory system, motorics).
Physicists use neural networks to model phenomena in statistical mechanics and for a lot of other tasks.
Biologists use Neural Networks to interpret nucleotide sequences.
Philosophers and some other people may also be interested in Neural Networks for various reasons.
For world-wide lists of groups doing research on NNs, see the Foundation for Neural Networks’s (SNN) page at http://www.mbfys.kun.nl/snn/pointers/groups.html and see Neural Networks Research on the IEEE Neural Network Council’s homepage http://www.ieee.org/nnc.
