Paper Info

Title | ||
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Mixing circuit based on neural associative memories and nanoelectronic 1S1R cells |

Abstract | ||
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A binary neural associative memory concept comprising nanoelectronic resistive switches and non-linear selector devices used as binary connection elements is proposed for the realization of logic and arithmetic functions. Based on the consideration of device variability an error detecting 2-out-of-n-code for the representation of operands is developed. The connection structure of an associative memory is derived which implements a problem-independent mixing operation which is seen as an elementary operation for mapping operands to desired symbols. The mixing operation maps two independent 2-out-of-n-encoded operands to a unique 2-out-of-N
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-encoded address in an error-free way. Finally, it is shown that for selected subsets of the proposed 2-out-of-n code set a significant compaction of the connection matrix is possible. |

Year | DOI | Venue |
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2017 | 10.1109/NANOARCH.2017.8053707 | 2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH) |

Keywords | Field | DocType |

resistive switches,selector device,binary neural associative memory,BiNAM,clipped hebbian synaptic rule,variability,reliability,logic functions,arithmetic function,nanoelectronics,m-out-of-n code,constant-weight-code | Arithmetic function,Associative property,Content-addressable memory,Matrix (mathematics),Computer science,Resistive touchscreen,Operand,Parallel computing,Electronic engineering,Binary number | Conference |

ISSN | ISBN | Citations |

2327-8218 | 978-1-5090-6038-2 | 0 |

PageRank | References | Authors |

0.34 | 4 | 2 |

Authors (2 rows)

Cited by (0 rows)

References (4 rows)

Name | Order | Citations | PageRank |
---|---|---|---|

Arne Heittmann | 1 | 24 | 5.94 |

Tobias G. Noll | 2 | 199 | 37.51 |