Self-organized computation with unreliable, memristive nanodevices

Nanotechnology

Volumn 18, Issue 36, 2007, Pages

  Snider, G S ^a  

^a HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; PARALLEL PROCESSING SYSTEMS; PATTERN RECOGNITION; PROBLEM SOLVING;

BOOLEAN LOGIC SYSTEMS; CODING THEORY; NETWORK DYNAMICS;

NANOTECHNOLOGY;

ARTICLE; EQUIPMENT DESIGN; INFORMATION SCIENCE; MATHEMATICAL COMPUTING; MOLECULAR ELECTRONICS; NANODEVICE; NANOTECHNOLOGY; PRIORITY JOURNAL;

EID: 34548685897     PISSN: 09574484     EISSN: 13616528     Source Type: Journal    
DOI: 10.1088/0957-4484/18/36/365202     Document Type: Article

References (68)

1. Bandyopadhyay S, Menon L, Kouklin N, Williams P F and Ianno N J 2002 Self-assembled networks with neural computing attributes Smart Mater. Struct. 11 761-6
2. Bartsch A P and van Hemmen J L 2001 Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex Biol. Cybern. 84 41-55
3. Beckett P and Jennings A 2002 Towards nanocomputer architecture 7th Conf. on Asia-Pacific Computer Systems Architecture (Melbourne)
4. Beiu V 2004 A novel highly reliable low-power nano architecture: when von Neumann augments Kolmogorov Proc. 15th IEEE Int. Conf. on Application-Specific Systems, Architectures and Processors
5. Carpenter G and Grossberg S (ed) 1991 Pattern Recognition by Self-Organizing Neural Networks (Cambridge, MA: MIT Press)
6. Chua L O 2003 Nonlinear circuit foundations for nanodevices. I-The four-element torus Proc. IEEE 91 1830-59
7. Chua L O and Kang S M 1976 Memristive devices and systems Proc. IEEE 64 209-23
8. Culbertson W B, Amerson R, Carter R J, Kuekes P and Snider G 1997 Defect tolerance on the Teramac custom computer FCCM' 97: 5th IEEE Symp. on FPGA-Based Custom Computing Machines p 116
9. DeHon A 2003 Array-based architecture for FET-based, nanoscale electronics IEEE Trans. Nanotechnol. 2 23-32
10. DeHon A 2005 Nanowire-based programmable architectures ACM J. Emerging Technol. Comput. Syst. 1 109-62
11. DeHon A, Goldstein S C, Kuekes P J and Lincoln P 2005 Nonphotolithographic nanoscale memory density prospects IEEE Trans. Nanotechnol. 4 215-28
12. Distante F, Sami M, Stefanelli R and Storti-Gajani G 1991 Mapping neural nets onto a massively parallel architecture: a defect tolerance solution Proc. IEEE 79 444-60
13. Duan X, Huang Y and Lieber C 2002 Nonvolatile memory and programmable logic from molecule-gated nanowires Nano Lett. 2 487-90
14. Elias P 1958 Computation in the presence of noise IBM J. Res. Dev. 2 346
15. Farkas I and Miikkulainen R 1999 Modeling the self-organization of directional selectivity in the primary visual cortex Proc. ICANN'99 (Edinburgh, UK) pp 251-6
16. Folling S, Turel O and Likharev K 2001 Single-electron latching switches as nanoscale synapses IJCNN 2001: Proc. Int. Joint Conf. on Neural Networks vol 1 pp 216-21
17. Fusi S, Annunziato M, Badoni D, Salamon A and Amit D 2000 Spike-driven synaptic plasticity: theory, simulation, VLSI implementation Neural Comput. 12 2227-58
18. Gear C W and Kevrekidis I G 2002 Projective methods for stiff differential equations: problems with gaps in their eigenvalue spectrum SIAM J. Sci. Comput. 24 1091-106
19. Gerstner W and Kistler W 2002 Spiking Neuron Models: Single Neurons, Populations, Plasticity (Cambridge: Cambridge University Press)
20. Graham P and Gokhale M 2004 Nanocomputing in the presence of defects and faults: a survey Nano, Quantum and Molecular Computing: Implications to High Level Design and Validation (New York: Kluwer-Academic) pp 39-72
21. Grossberg S 1976a On the development of feature detectors in the visual cortex with applications to learning and reaction-diffusion systems Biol. Cybern. 23 121-34
22. Grossberg S 1976b Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors Biol. Cybern. 21 145-59
23. Grossberg S 1980 How does a brain build a cognitive code? Psychol. Rev. 87 1-51
24. Grossberg S 1997 Birth of a learning law Boston University Technical Report CAS/CNS-TR97-017
25. Hadjicostis C 2002 Coding Approaches to Fault Tolerance in Combinational and Dynamic Systems (Berlin: Springer)
26. Heath J R, Kuekes P J, Snider G S and Williams R S 1998 A defect tolerant computer architecture: opportunities for nanotechnology Science 280 1716-21
27. Hebb D O 1949 The Organization of Behavior (New York: Wiley) pp 60-78 (Reprinted in Neurocomputing, Foundations of Research (Cambridge, MA: MIT Press) 1988)
28. Kosko B 1990 Unsupervised learning in noise IEEE Trans. Neural Netw. 1 44-57
29. Kosko B 1991 Structural stability of unsupervised learning in feedback neural networks IEEE Trans. Autom. Control 36 785-92
30. Kuekes P, Robinett W, Seroussi G and Williams R S 2005 Defect-tolerant interconnect to nanoelectronic circuits: internally redundant demultiplexers based on error-correcting codes Nanotechnology 16 869-82
31. Kuekes P J and Williams R S 2002 Defect-tolerant molecular electronics IEEE Int. Symp. on Circuits and Systems vol 2 pp II-42-4
32. Lau C N, Stewart D R, Williams R S and Bockrath M 2004 Direct observation of nanoscale switching centers in metal/molecule/metal structures Nano Lett. 4 569-72
33. Lee J H and Likharev K K 2005 CMOL CrossNets as Pattern Classifiers, in Computational Intelligence and Bioinspired Systems (Berlin: Springer) ISBN 978-3-540-26208-4
34. Lee J H and Likharev K K 2007 Defect-tolerant nanoelectronic pattern classifiers Int. J. Circuit Theory Appl. 35 239-64
35. Likharev K, Mayr A, Muckra I and Turel O 2003 CrossNets: high-performance neuromorphic architectures for CMOL circuits Ann. New York Acad. Sci. 1006 146-63
36. Ma X and Likharev K K 2007 Global reinforcement learning in neural networks IEEE Trans. Neural Netw. 18 573-7
37. Ma X, Strukov D B, Lee J H and Likharev K K 2005 Afterlife for silicon: CMOL circuit architectures 5th IEEE Conf. on Nanotechnol. vol 1 pp 175-8
38. Miller K D 1994 A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs' J. Neurosci. 14 409-41
39. Mishra M and Goldstein S C 2004 Defect tolerance at the end of the roadmap Nano, Quantum and Molecular Computing: Implications to High Level Design and Validation (New York: Kluwer-Academic) pp 39-72
40. Moore E F and Shannon C 1954 Reliable circuits using crummy relays Technical Report Memo. 54-114-42 (Bell Labs)
41. Neti C, Schneider M H and Young E D 1992 Maximally fault tolerant neural networks IEEE Trans. Neural Netw. 3 14-23
42. Olson S J and Grossberg S 1998 A neural network model for the development of simple and complex cell receptive fields within cortical maps of orientation and ocular dominance Neural Netw. 11 189-208
43. Peterson W W and Rabin M O 1959 On codes for checking logical operations IBM J. Res. Dev. 3 163
44. Piuri P 2001 Analysis of fault tolerance in artificial neural networks J. Parallel Distrib. Comput. 61 18-48
45. Press W H, Teukolsky S A, Vetterling W T and Flannery B P 1992 Numerical Recipes in C 2nd edn (Cambridge: Cambridge University Press)
46. Reischuk R 1997 Can large fan-in circuits perform reliable computations in the presence of noise? Proc. 3rd Annual Int. Conf. on Computing and Combinatorics pp 72-81
47. Roy S and Beiu V 2004 Multiplexing schemes for cost-effective fault-tolerance 4th IEEE Conf. on Nanotechnology pp 589-92
48. Sarpeshkar H and O'Halloran M 2002 Scalable hybrid computation with spikes Neural Comput. 14 2003-38
49. Schmid A and Leblebici Y 2003 A modular approach for reliable nanoelectronic and very-deep submicron circuit design based on analog neural network principles Nanotechnology 2 647-50
50. Simard P, Steinkraus D and Platt J 2003 Best practices for convolutional neural networks applied to visual document analysis Proc. 7th Int. Conf. on Document Analysis and Recognition vol 2 p 958
51. Snider G 2005 Computing with hysteretic resistor crossbars Appl. Phys. A 80 1165-72
52. Snider G, Kuekes P, Hogg T and Williams R S 2005 Nanoelectronic architectures Appl. Phys. A 80 1183-95
53. Snider G, Kuekes P and Williams R S 2004 CMOS-like logic in defective, nanoscale crossbars Nanotechnology 15 881-91
54. Snider G and Williams R S 2007 Nano/CMOS architectures using a field-programmable nanowire interconnect Nanotechnology 18 035204
55. Stan M R, Franzon P D, Goldstein S C, Lach J C and Ziegler M M 2003 Molecular electronics: from devices and interconnect to circuits and architecture Proc. IEEE 91 1940-57
56. Stewart D R, Ohlberg D A A, Beck P A, Chen Y, Williams R S, Jeppesen J O, Nielsen K A and Stoddart J F 2004 Molecule-independent electrical switching in Pt/organic monolayer/Ti devices Nano Lett. 4 133-6
57. Strukov D and Likharev K 2005 CMOL FPGA: a reconfigurable architecture for hybrid digital circuits with two-terminal nanodevices Nanotechnology 16 888-900
58. Swindale N V 1998 Orientation tuning curves: empirical description and estimation of parameters Biol. Cybern. 78 45-56
59. Turel O, Lee J H, Ma X and Likharev K K 2004 Nanoelectronic neuromorphic networks (CrossNets): new results Proc. 2004 IEEE Int. Joint Conf. on Neural Networks (July, 2004) vol 1
60. Turel O and Likharev K 2003 CrossNets: possible neuromorphic networks based on nanoscale components Int. J. Circuit Theory Appl. 31 37-53
61. Turel O, Muckra I and Likharev K 2003 Possible nanoelectronic implementation of neuromorphic networks Networks 2003: Proc. Int. Joint Conf. on Neural Networks (July 2003) vol 1 pp 365-70
62. von der Malsburg C 1973 Self-organization of orientation sensitive cells in the striata cortex Kynernetik 14 85-100 (Reprinted in Neurocomputing, Foundations of Research (Cambridge, MA: MIT Press) 1988)
63. von Neumann J 1956 Probabilistic logics and the synthesis of reliable organisms from unreliable components Automata Studies (Annals of Mathematics Studies No. 34) (Princeton, NJ: Princeton University Press) pp 43-98
64. Wakerly J 1978 Error Detecting Codes, Self-Checking Circuits and Applications (Amsterdam: North-Holland)
65. Williams R S and Kuekes P J 2000 Molecular nanoelectronics IEEE Int. Symp. on Circuits and Systems (May 2000) vol 1 pp 5-7
66. Wilson H R 1999 Spikes, Decisions, and Actions: the Dynamical Foundations of Neuroscience (Oxford: Oxford University Press)
67. Winograd S 1962 Coding for logical operations IBM J. Res. Dev. 6 430
68. Ziegler M and Stan M R 2003 CMOS/nano co-design for crossbar-based molecular electronic systems IEEE Trans. Nanotechnol. 2 217-30