### Abstract

The retrieval process of an associative memory with a general input-output function is studied by means of a signal-to-noise ratio analysis. We derive a set of recursion relations for macroscopic variables to describe the time development of the network. By taking equilibrium limit of the recursion relations, we find that a certain type of non-monotonic input-output relation of a single neuron yields an enhanced memory capacity than the conventional monotonic relation. This result combined with Monte Carlo simulations confirms the prediction of Morita et al and reveals new aspects in the retrieval process.

Original language | English (US) |
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Title of host publication | 1993 IEEE International Conference on Neural Networks |

Editors | Anon |

Publisher | Publ by IEEE |

Pages | 353-358 |

Number of pages | 6 |

ISBN (Print) | 0780312007 |

State | Published - Jan 1 1993 |

Externally published | Yes |

Event | 1993 IEEE International Conference on Neural Networks - San Francisco, CA, USA Duration: Mar 28 1993 → Apr 1 1993 |

### Other

Other | 1993 IEEE International Conference on Neural Networks |
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City | San Francisco, CA, USA |

Period | 3/28/93 → 4/1/93 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*1993 IEEE International Conference on Neural Networks*(pp. 353-358). Publ by IEEE.

**Retrieval process of an associative memory with non-monotonic input-output function.** / Nishimori, Hidetoshi; Opris, Ioan.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*1993 IEEE International Conference on Neural Networks.*Publ by IEEE, pp. 353-358, 1993 IEEE International Conference on Neural Networks, San Francisco, CA, USA, 3/28/93.

}

TY - GEN

T1 - Retrieval process of an associative memory with non-monotonic input-output function

AU - Nishimori, Hidetoshi

AU - Opris, Ioan

PY - 1993/1/1

Y1 - 1993/1/1

N2 - The retrieval process of an associative memory with a general input-output function is studied by means of a signal-to-noise ratio analysis. We derive a set of recursion relations for macroscopic variables to describe the time development of the network. By taking equilibrium limit of the recursion relations, we find that a certain type of non-monotonic input-output relation of a single neuron yields an enhanced memory capacity than the conventional monotonic relation. This result combined with Monte Carlo simulations confirms the prediction of Morita et al and reveals new aspects in the retrieval process.

AB - The retrieval process of an associative memory with a general input-output function is studied by means of a signal-to-noise ratio analysis. We derive a set of recursion relations for macroscopic variables to describe the time development of the network. By taking equilibrium limit of the recursion relations, we find that a certain type of non-monotonic input-output relation of a single neuron yields an enhanced memory capacity than the conventional monotonic relation. This result combined with Monte Carlo simulations confirms the prediction of Morita et al and reveals new aspects in the retrieval process.

UR - http://www.scopus.com/inward/record.url?scp=0027233203&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027233203&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0027233203

SN - 0780312007

SP - 353

EP - 358

BT - 1993 IEEE International Conference on Neural Networks

A2 - Anon, null

PB - Publ by IEEE

ER -