Working with the Wilson-Cowan model, a widely-used model in computational neuroscience that describes the average activity of populations of interconnected neurons, Leandro Alonso has designed a ...

But, it integrated well with the Wilson-Cowan model. Linear oscillators respond to a stimulus by mirroring its rhythm or frequency – but, nonlinear oscillators vary in their responses.

In this paper, we study the effect of two distinct discrete delays on the dynamics of a Wilson-Cowan neural network. This activity-based model describes the dynamics of synaptically interacting ...

Now called “Wilson-Cowan equations,” they became a mainstay of neural network research. “But I always knew that those equations were inadequate, so I kept thinking about them,” Cowan said.

In 1972, he and postdoctoral fellow Hugh Wilson, now of Canada's York University, formulated a set of equations that could describe the dynamics of neural networks. Now called "Wilson-Cowan equations, ...