  We analytically determine the number and distribution of fixed points in a
canonical model of a chaotic neural network. This distribution reveals that
fixed points and dynamics are confined to separate shells in phase space.
Furthermore, the distribution enables us to determine the eigenvalue spectra of
the Jacobian at the fixed points. Despite the radial separation of fixed points
and dynamics, we find that nearby fixed points act as partially attracting
landmarks for the dynamics.
