Neurogenesis and multiple plasticity mechanisms enhance associative memory retrieval in a spiking network model of the hippocampus
Yansong Chua, Cheston Tan

TL;DR
This paper presents a large-scale, biologically plausible spiking neural network model of the hippocampus that demonstrates how neurogenesis and plasticity mechanisms improve associative memory encoding and retrieval.
Contribution
It is the first to model hippocampal memory with significantly more neurons and to investigate the role of neurogenesis in memory processes within such a model.
Findings
Neurogenesis maintains CA3 neuron recruitment per memory, aiding recent memory retrieval.
Plasticity models are crucial for effective memory encoding and retrieval.
Structural plasticity is necessary for memory function when the network is overloaded.
Abstract
Hippocampal CA3 is crucial for the formation of long-term associative memory. It has a heavily recurrent connectivity, and memories are thought to be stored as memory engrams in the CA3. However, despite its importance for memory storage and retrieval, spiking network models of the CA3 to date are relatively small-scale, and exist as only proof-of-concept models. Specifically, how neurogenesis in the dentate gyrus affects memory encoding and retrieval in the CA3 is not studied in such spiking models. Our work is the first to develop a biologically plausible spiking neural network model of hippocampal memory encoding and retrieval, with at least an order-of-magnitude more neurons than previous models. It is also the first to investigate the effect of neurogenesis on CA3 memory encoding and retrieval. Using such a model, we first show that a recently developed plasticity model is crucial…
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Taxonomy
TopicsMemory and Neural Mechanisms · Neuroscience and Neuropharmacology Research · Neurogenesis and neuroplasticity mechanisms
