File(s) not publicly available
A neural network for temporal sequential information
conference contribution
posted on 2023-06-07, 20:19 authored by Adriaan G. Tijsseling, Luc BerthouzeLuc BerthouzeWe 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 ProcessingPages
6.0Event name
8th International Conference on Neural Information ProcessingEvent location
Shanghai, China.Event type
conferenceEvent date
November 14-18, 2001.Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC