A brain-like navigation method inspired by the spatial cells' cognitive mechanism

How rats achieve goal-oriented navigation is a hot research topic in neuroscience. Inspired by neurophysiological research, this paper proposes a brain-like navigation method inspired by the spatial cells' cognitive mechanism. Firstly, a neural computational model of the entorhinalhippocampal structure is constructed for path integration. Subsequently, a visual pathway computational model is constructed to correct the accumulated errors. Finally, a self-organizing computational model of hippocampal CA1 place cells is constructed to optimize the navigation path. In order to verify the model, this paper designs the 2-D simulation experiment, and the proposed model is also compared with other models. The experimental results show that the proposed model cannot only make the navigation process more robust by using visual information. Moreover, it can gradually optimize the navigation path through the self-organized activity of hippocampal CA1 place cells, thus improving the efficiency of navigation.