President greetings

What comes to mind at the word neural networks? One may think of a variety of things from this word. Progress of neuroscience in the past decades has revealed what are neurons and how they connect to others. By combining such knowledge, we can analyze and predict networks of neurons in the brain. We can also investigate what network is necessary to realize a particular brain function such as perception and cognition. Even our mind and intention may be generated by neural networks. These are perhaps the most intrinsic parts of the study of neural networks.

Neural networks may not be limited to neuroscience, physiology and anatomy. Neural networks include models of neural systems with the aim of understanding principles of neural functions and mechanisms including cognition, memory, intention, coding scheme, information processing and others. In parallel with understanding neural systems, the study of neural networks would propose innovative and advantageous principles and methods in mathematical sciences and engineering. Excellent examples may include neural networks in nineties and a recent development in deep learning.

The study of neural networks is frontier and interdisciplinary which covers a wide range of fields from physiology and psychology to information science, mathematical science, statistics and engineering. Our Neural Network Society was established in 1989 to promote the study of neural networks with the specific aims of introducing advances of research and exchanging and spreading knowledge. The society organizes conferences, workshops and tutorials, publishes magazines, promote new fields, and supports young scientists and engineers. We also contribute to international communities by editing and publishing the Journal, Neural Networks, in cooperation with International Neural Network Society and European Neural Network Society, and co-organizing International Conference On Neural Information Processing as a member of Asia Pacific Neural Network Assembly.

If you find a interest in neural networks, please join one of our activities. We are looking forward to seeing you and talking about neural networks.

Ko Sakai, Ph.D.