Astroglial-neural networks, diffusion-enhancement bilayers, and spatio-temporal grouping dynamics

Summary form only given, as follows. Spatiotemporal grouping phenomena were examined in the context of static and time-varying imagery. The dynamics of a biologically plausible diffusion-enhancement bilayer was developed that exhibits grouping of static features on multiple scales as a function of time, and long-range apparent motion between time-varying inputs. The architecture consists of a diffusion layer and a contrast-enhancement layer coupled by feedforward and feedback connections; input is provided by a separate feature-extracting layer. The model is cast as an analog circuit which is realizable in VLSI, and whose parameters are selected to satisfy a psychophysical database on apparent motion