The Community for Technology Leaders
RSS Icon
Issue No.02 - February (2011 vol.44)
pp: 21-28
Greg Snider , Hewlett-Packard Laboratories
Rick Amerson , Hewlett-Packard Laboratories
Dick Carter , Hewlett-Packard Laboratories
Hisham Abdalla , Hewlett-Packard Laboratories.
Muhammad Shakeel Qureshi , Hewlett-Packard Laboratories
Jasmin Léveillé , Boston University
Massimiliano Versace , Boston University
Heather Ames , Boston University
Sean Patrick , Boston University
Benjamin Chandler , Boston University
Anatoli Gorchetchnikov , Boston University
Ennio Mingolla , Boston University
In a synchronous digital platform for building large cognitive models, memristive nanodevices form dense, resistive memories that can be placed close to conventional processing circuitry. Through adaptive transformations, the devices can interact with the world in real time.
Computational Intelligence, Learning systems, Nanoelectronics, Memristors
Greg Snider, Rick Amerson, Dick Carter, Hisham Abdalla, Muhammad Shakeel Qureshi, Jasmin Léveillé, Massimiliano Versace, Heather Ames, Sean Patrick, Benjamin Chandler, Anatoli Gorchetchnikov, Ennio Mingolla, "From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain", Computer, vol.44, no. 2, pp. 21-28, February 2011, doi:10.1109/MC.2011.48
1. L.O. Chua and S.M. Kang, "Memristive Devices and Systems," Proc. IEEE, vol. 64, no. 2, 1976, pp. 209-223.
2. D.B. Strukov et al., "The Missing Memristor Found," Nature,1 May 2008, pp. 80-83.
3. Q. Xia et al., "Memristor/CMOS Hybrid Integrated Circuits for Reconfigurable Logic," Nano Letters, vol. 9, no. 10, 2009, pp. 3640-3645.
4. B. Madappuram et al., "On Brain-Inspired Connectivity and Hybrid Network Topologies," IEEE Symp. Nanoscale Architectures (NANOARCH 08), IEEE Press, June 2008, pp. 54-61.
5. D.S. Basset et al., "Efficient Physical Embedding of Topologically Complex Information Processing Networks in Brains and Computer Networks," PLoS Computational Biology, Apr. 2010, e1000748.
6. A. Gorchetchnikov et al., "General Form of Learning Algorithms for Neuromorphic Hardware Implementation," BMC Neuroscience, vol. 11 (supp. 1), 2010, p. 91; .
7. D.J. Jobson, Z. Rahman, and G.A. Woodell, "Properties and Performance of a Center/Surround Retinex," IEEE Trans. Image Processing, Mar. 1997, pp. 451-462.
8. A. Bell and T. Sejnowski, "The 'Independent Components' of Natural Scenes Are Edge Filters," Vision Research, Dec. 1997; pp. 3327-3338.
9. N. Intrator and L. Cooper, "Objective Function Formulation of the BCM Theory of Visual Cortical Plasticity: Statistical Connections, Stability Conditions," Neural Networks, vol. 5, no. 1, 1992, pp. 3-17.
10. R. Mikkulainen et al., Computational Maps in the Visual Cortex, Springer, 2005.
11. S. Grossberg and J. Williamson, "A Neural Model of How Interlaminar Connections of Visual Cortex Develop into Adult Circuits that Carry Out Perceptual Grouping and Learning," Cerebral Cortex, vol. 11, no. 1, 2001, pp. 37-58.
12. E. Franken et al., "An Efficient Method for Tensor Voting Using Steerable Filters," LNCS 3954, Springer, 2006, pp. 228-240.
13. S. Grossberg and E. Mingolla, "Neural Dynamics of Perceptual Grouping—Textures, Boundaries, and Emergent Segmentations," Perception and Psychophysics, vol. 38, no. 2, pp. 141-171.
37 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool