Self-organized reactivation maintains and reinforces memories despite synaptic turnover
| Autor: | Mark C. W. van Rossum, Michael Jan Fauth |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Memory Long-Term Computer science QH301-705.5 Science Models Neurological General Biochemistry Genetics and Molecular Biology Synapse 03 medical and health sciences synaptic turnover 0302 clinical medicine long-term memory None Humans Computer Simulation Biology (General) Hebbian cell assemblies Neurons Neuronal Plasticity synaptic plasticity General Immunology and Microbiology Long-term memory General Neuroscience General Medicine Pattern completion Content-addressable memory computational model 030104 developmental biology Hebbian theory Structural plasticity Synaptic plasticity Synapses Medicine Sleep Neuroscience Reinforcement Psychology 030217 neurology & neurosurgery Research Article |
| Zdroj: | eLife eLife, Vol 8 (2019) |
| ISSN: | 2050-084X |
| Popis: | Long-term memories are believed to be stored in the synapses of cortical neuronal networks. However, recent experiments report continuous creation and removal of cortical synapses, which raises the question how memories can survive on such a variable substrate. Here, we study the formation and retention of associative memory in a computational model based on Hebbian cell assemblies in the presence of both synaptic and structural plasticity. During rest periods, such as may occur during sleep, the assemblies reactivate spontaneously, reinforcing memories against ongoing synapse removal and replacement. Brief daily reactivations during rest-periods suffice to not only maintain the assemblies, but even strengthen them, and improve pattern completion, consistent with offline memory gains observed experimentally. While the connectivity inside memory representations is strengthened during rest phases, connections in the rest of the network decay and vanish thus reconciling apparently conflicting hypotheses of the influence of sleep on cortical connectivity. |
| Databáze: | OpenAIRE |
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