Topic: dynamical mean-field equations

Reconciling theoretical models with experimental data is a major challenge in neuroscience. We investigate how neurons that exhibit disorderly properties individually can produce orderly collective dynamics. Focusing on continuous-attractor networks, which model representations of continuous variables such as head direction and spatial location, we address the discrepancy between the symmetry required by these models and its apparent absence in mammalian neural recordings. Analysis of mouse head-direction cell tuning curves reveals significant heterogeneity that violates basic assumptions of c