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- W3200315545 abstract "An analysis of long-term memory processes indicates a need for short-term mechanisms that store arbitrary spatial patterns of neural activity for substantial lengths of time. This paper analyzes the short-term pattern storage properties of generalized on-center, off-surround neural networks. Except for special cases, such networks cannot store patterns for arbitrarily long lengths of time (to equilibrium). However, bounds of pattern degradation show that networks close (in a precise sense) to these special cases may store arbitrary spatial patterns of activity for substantial lengths of time with good accuracy." @default.
- W3200315545 created "2021-09-27" @default.
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- W3200315545 date "2021-09-09" @default.
- W3200315545 modified "2023-09-23" @default.
- W3200315545 title "Neural networks for short term pattern storage" @default.
- W3200315545 doi "https://doi.org/10.4324/9781315784076-83" @default.
- W3200315545 hasPublicationYear "2021" @default.
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