Simulation of associative neural networks

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 4, Issue , 2002, Pages 1639-1643

  Zhu, Shaojuan ^a   Hammerstrom, D ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASSOCIATIVE STORAGE; INFORMATION SCIENCE; MEMORY ARCHITECTURE; NASA; SUPERCOMPUTERS;

ASSOCIATIVE MEMORY; ASSOCIATIVE MEMORY MODELS; ASSOCIATIVE NEURAL NETWORK; ASSOCIATIVE RECALL; BEOWULF CLUSTER; HUMAN BRAIN; TEMPORAL INFORMATION;

ASSOCIATIVE PROCESSING;

EID: 25544455371     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1198953     Document Type: Conference Paper

References (6)

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2. Palm, G. and F.T. Sommer, Information capacity in recurrent McCulloch-Pitts networks with sparsely coded memory states. Network, 1992. 3: p. 177-186.
3. Wolfgang Maass, C.M.B., Pulsed Neural Networks. 1999, Cambridge MA: MIT Press.
4. Lansner, A. and A. Holst, A Higher Order Bayesian Neural Network with Spiking Units. Int. J. Neural Systems, 1996. 7(2): p. 115-128.
5. Field, D.J., What is the goal of sensory coding?, in Unsupervised Learning, G. Hinton and T.J. Sejnowski, Editors. 1999, MIT Press: Cambridge, MA. p. 101-143.
6. V. Braitenberg, A.S., Cortex: Statistics and Geometry of Neuronal Connectivity. 1998: Springer-Verlag.