Neurons that sustain elevated firing in the absence of stimuli have been found in many neural systems. In graded persistent activity, neurons can sustain firing at many levels, suggesting a widely found type of network dynamics in which networks can relax to any one of a continuum of stationary states. The reproduction of these findings in model networks of nonlinear neurons has turned out to b...

We study the relations between the long-time dynamics of the Navier–Stokes-α model and the exact 3D Navier–Stokes system. We prove that bounded sets of solutions of the Navier–Stokes-α model converge to the trajectory attractor A0 of the 3D Navier–Stokes system as time tends to infinity and α approaches zero. In particular, we show that the trajectory attractor Aα of the Navier–Stokes-α model c...

The attractor network model embodies the properties of an associative content-addressable memory. Every stored pattern (meaning or note) corresponds appropriate minimum on the potential function. Imprinting a pattern lowers its energy and the energy of all pattern in the vicinity. This creates a basin of attraction. Such system would be able to recognize inputting pattern which is pulled into o...