An automated behavioral platform for multisensory decision-making in mice
Fatemeh Yousefi, Dennis Laufs, Natalia Babushkina, Christopher Wiesbrock, Gerion Nabbefeld, Björn Kampa, Simon Musall · FENS Forum 2024
Many studies in systems neuroscience that aim to link neural activity patterns and cognitive functions involve training animals to perform complex behavioral tasks. However, the conventional training procedures are highly time- and labor-intensive and often face large variability of the experimental results, due to unknown environmental factors or interactions between animals and experimenters that affect animal behavior. To address this issue, we created a fully automated hallway system, to connect home cages to different types of behavioral setups and allow individual animals to be trained i
ePoster · Neuroscience