Topic: asymmetric STDP

To adapt to a dynamic environment, animals must abandon outdated behaviors and acquire new ones, a phenomenon known as reversal learning (RL). Despite ample knowledge about neural representations of space, the mechanisms of RL in spatial navigation remain understudied. To fill this gap, we extended an existing closed-loop simulator of spatial navigation and learning (Ghazinouri et al. 2023). The model is based on a spiking neural network that captures features of the hippocampus, specifically place cells and boundary cells. These cells feed inputs into action selection neurons, whose activity