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A neural network for temporal sequential information

conference contribution
posted on 2023-06-07, 20:19 authored by Adriaan G. Tijsseling, Luc BerthouzeLuc Berthouze
We report a neural network model that is capable of learning arbitrary input sequences quickly and online. It is also capable of completing a sequence upon cueing from any point in the sequence and in the presence of background noise. The architecture of the neural network utilizes sigmoid-pulse generating spiking neurons together with a Hebbian learning rule with synaptic noise.

History

Publication status

  • Published

Journal

Proceedings of the 8th International Conference on Neural Information Processing

Pages

6.0

Event name

8th International Conference on Neural Information Processing

Event location

Shanghai, China.

Event type

conference

Event date

November 14-18, 2001.

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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