Forgetting slows down reversal learning in behaving mice and artificial neuronal networks
Jonas Elpelt, Jens-Bastian Eppler, Johannes P.-H. Seiler, Simon Rumpel, Matthias Kaschube · FENS Forum 2024
Understanding the impact of forgetting is crucial in neuronal systems, particularly in how it affects the remodeling of neuronal circuitry. In this study we explore the role of forgetting in the context of reversal learning in mice, complemented by a simulated analysis of synaptic remodeling in a recurrent neural network.In our experiment, mice were trained to discriminate between two stimuli in a go/no-go task, followed by a retention test after intervals of either 2 or 16 days. This phase was succeeded by reversal learning, where the stimulus contingencies were switched. We observed that mic
ePoster · Neuroscience