Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model.

ABSTRACT: Neurogenesis persists throughout life in the dentate gyrus region of the mammalian hippocampus. Computational models have established that the addition of neurons degrades existing memories (i.e., produces forgetting). These predictions are supported by empirical observations in rodents, where post-training increases in neurogenesis also promote forgetting of hippocampus-dependent memories. However, in these computational models which use 10-1,000 neurons to represent the dentate gyrus, forgetting is only observed at rates of new neuron addition that greatly exceed adult neurogenesis rates observed in vivo. In order to address this, here we generated an artificial neural network which incorporated more realistic features of the hippocampus - including increased network size (with up to 20,

SUBMITTER: Tran LM 

PROVIDER: S-EPMC8719326 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature