# Suppressing chaos in neural networks by noise

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/suppressing-chaos-in-neural-networks-by-noise/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lutz Molgedey,Johannes Schuchhardt,Heinz Georg Schuster |
| Citations | 146 |
| DOI | 10.1103/physrevlett.69.3717 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2079166245 |
| PMID | 10046895 |
| Type | article |
| Year | 1992 |

## Paper authors

- [Johannes Schuchhardt](https://scholariq.org/researchers/johannes-schuchhardt/)

## Paper primary topic

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Paper topics

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [stochastic dynamics and bifurcation](https://scholariq.org/topics/stochastic-dynamics-and-bifurcation/)
- [Nonlinear Dynamics and Pattern Formation](https://scholariq.org/topics/nonlinear-dynamics-and-pattern-formation/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.