Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network
Memories in neural systems are shaped through the interplay of neural and learning dynamics under external inputs. This interplay can result in either overwriting or strengthening of memories as the system is repeatedly exposed to multiple input-output mappings, but it is unclear which effect domina...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2020-06-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.2.023307 |