Contains numerous links and information on the current research, projects,
collaborations, and list of publications. Recent research focuses on the
learning theory. Well-observed learning principles of biological entities
can also be implemented into the artificial systems. The artificial systems
may then reach several valuable qualities.
Mathematical Neuroscience Laboratory
Hirosawa 2-1, Wako-shi
Saitama 351-0198
JAPAN
Tel: +81-48-467-9663
Fax: +81-48-467-9693
geczy@brain.riken.go.jp
This award-winning page
(recognized by DMOZ)
contains extensive number of neural network related resources such as: centers,
societies, journals, books, software, archives, newsgroups, E-lists, databases, etc.
Resources are well organized and user-friendly presented.
Resources, links and issues of personal nature. Due to that, some of the
links and pointers might be protected by password or invisible for surfers
that are not authorized to access them.
WELCOME to Peter GECZY's home page! It is a pleasure to have you with me. I hope you will enjoy browsing around. To make the most of your browsing experience, may I suggest you have your browser Frames and Java & JavaScript enabled? Thank you very much.
The page is devoted to the "personal" interests I have developed during the
course of my life and that I still actively or passively pursue even at present
times. The content may be available only locally.
RIKEN BSI - BSIS Lunch Time Seminar page can be found at this location.