Forgetting Leads to Chaos in Attractor Networks
Attractor networks are an influential theory for memory storage in brain systems. This theory has recently been challenged by the observation of strong temporal variability in neuronal recordings during memory tasks. In this work, we study a sparsely connected attractor network where memories are le...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Physical Society
2023-01-01
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| Edice: | Physical Review X |
| On-line přístup: | http://doi.org/10.1103/PhysRevX.13.011009 |
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