Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatial.

ABSTRACT: Information processing in the brain relies on the transmission of spikes through chemical synapses whose efficacies often depend on their recent firing history. While effects of such short-term plasticity on neural information processing have long been studied, it is unclear how interactions between short-term and long-term plasticity affect the learning abilities of neural networks. Here, we show that long-term changes to the short-term plasticity of individual synaptic connections enable neurons to learn to process temporal sequences of spikes as if they were spatial patterns. This mechanism allows neural circuits to flexibly increase their capacity and robustness at the expense of elevated spiking activity. We further show that neurons with plastic short-term plasticity can learn to dis

SUBMITTER: Yu Q 

PROVIDER: S-EPMC12663931 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature