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AI and Neural Networks research Group - Neural Networks

Despite its slow "hardware" the brain is a much more powerful and sophisticated computational system than any computer ever built. What can the brain teach us about computation and how to perform complex tasks such as natural language processing, vision, and control and optimisation problems? Neural networks are a family of methods that try to address these issues and explore "brain-like" computation, information processing and learning. "Deep learning" is a currently popular technology based on neural networks, and used by organisations such as Google, Baidu, Microsoft and Apple.

In our group, we build neural network models of memory mechanisms, natural language and sensorimotor processing.

We also teach two specialised courses on neural networks.
COSC420: Neural Networks
COSC421: Neural models of language

These papers are part of the University's Neuroscience programme, which features many other relevant papers, taught by the departments of Psychology, Anatomy and Physiology, and elsewhere in the University.

The following are useful resources for finding out more:

Although it is now defunct, the old

  • comp.ai.neural-nets FAQ is still a really good introduction to neural nets, the literature, simulators, and more.

There are many overview web pages for neural nets, see for example:

(Why three Wikipedia pages on essentially the same topic? Just because.)

Neural nets at Otago

There is a lot of neural network related research and teaching at Otago:

  • Within Computer Science several staff members have related interests.
  • The page for COSC420 Neural Networks includes general information and neural network related library resources.
  • Other related papers include PSYC471 Cognitive Neuroscience (Psychology), and INFO411 Advanced Knowledge Engineering (Information Science).
  • Neural networks is part of the Memory Research Theme (one of several Otago Research Themes), and part of the Neuroscience Programme.