A wide range of experimental data characterizing properties of individ
ual salamander retinal cells and synaptic interactions are integrated
to form a quantitative computational model of Visual function in the s
alamander retina. The model is used to show how specific interactions
between neurons and between networks of neurons can lead to the integr
ated response behavior of individual cells deep in the retina. The mod
el is also used to illustrate how the representation of moving and sta
tionary stimuli is encoded in a series of layer-by-layer transformatio
ns leading to the final retinal output at the ganglion cell layer.