Organization and priming of long-term memory representations with two-phase plasticity
| Autor: | Jannik Luboeinski, Christian Tetzlaff |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
Consolidation (soil) Artificial neural network Computer science Long-term memory Cognitive Neuroscience 05 social sciences Representation (systemics) Phase (waves) Plasticity 050105 experimental psychology Computer Science Applications 03 medical and health sciences 0501 psychology and cognitive sciences Computer Vision and Pattern Recognition Neuroscience Priming (psychology) Synaptic tagging 030304 developmental biology |
| Popis: | Background / Introduction In recurrent neural networks in the brain, memories are represented by so-called Hebbian cell assemblies. Such assemblies are groups of neurons with particularly strong synaptic connections formed by synaptic plasticity and consolidated by synaptic tagging and capture (STC). To link these synaptic mechanisms to long-term memory on the level of cognition and behavior, their functional implications on the level of neural networks have to be understood. Methods We employ a biologically detailed recurrent network of spiking neurons featuring synaptic plasticity and STC to model the learning and consolidation of long-term memory representations. Using this, we investigate the effects of different organizational paradigms, and of priming stimulation, on the functionality of multiple memory representations. We quantify these effects by the spontaneous activation of memory representations driven by background noise. Results We find that the learning order of the memory representations significantly biases the likelihood of activation towards more recently learned representations, and that hub-like overlap structure counters this effect. We identify long-term depression as the mechanism underlying these findings. Finally, we demonstrate that STC has functional consequences for the interaction of long-term memory representations: 1. intermediate consolidation in between learning the individual representations strongly alters the previously described effects, and 2. STC enables the priming of a long-term memory representation on a timescale of minutes to hours. Conclusion Our findings show how synaptic and neuronal mechanisms can provide an explanatory basis for known cognitive effects. |
| Databáze: | OpenAIRE |
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