Computational model-based analysis of spatial navigation strategies under stress and uncertainty using place, distance, and border cells
Yanran Qiu, Shiqi Wang, Jiachuan Wang, Wenyuan Zhu, Yuchen Cheng, Beste Aydemir, Wulfram Gerstner, Carmen Sandi, Gediminas Luksys · FENS Forum 2024
Decision-making occurring during navigation and learning is widely studied in choice behaviors, but less understood in natural and more continuous settings, especially under stress and uncertainty. This process could be investigated in rodent spatial navigation, which has been modeled with place-cell-based models. However, traditional models usually ignore detailed trajectories or kinematics. Here we extended a place cell-based reinforcement learning model to include detailed kinematics and used it to investigate the role of motivational stress. We performed experiments with two strains of mi
ePoster · Neuroscience