We present several variations of a model of gain control in the retina
of the toad Bufo marinus, and use them to fit the threshold-vs-intens
ity data of an actual toad ganglion cell [Donner et al, (1990), Journa
l of General Physiology, 95, 733-753], Our models are based on a propo
sal by Donner et al, that the gain (neural spike per photon ratio) of
toad ganglion cells is set by a sequence of two retinal gain control s
tages, The first stage consists of a Weber gain control mechanism at t
he level of the red rods, The second is a more proximal ''noise gain''
stage, which multiplies the (incremental) input signal by a factor th
at is inversely proportional to the standard deviation of the random g
anglion cell input and, under conditions that produce the de Vries-Ros
e threshold law, is also proportional to the standard deviation of the
photon fluctuations within the ganglion cell receptive field, We demo
nstrate that noise gain control arises naturally from modeling ganglio
n cell spike generation with either of two common types of spike gener
ation models: integrate-and-fire models or threshold accommodation mod
els, We simulate the process of spike generation in both types of mode
ls and show that either model can account for the basic overall shape
of the toad t.v.i. curve, However, although integrate-and-fire models
appropriately generate noise gain control, they cannot quantitatively
fit the threshold data with realistic retinal parameters, Integrate-an
d-fire models also fail to account for the observed relationship betwe
en the generator potential of the ganglion cell and its spiking probab
ility, A threshold accommodation model with realistic retinal paramete
rs, on the other hand, can account for both the threshold data and the
generator potential-spike probability relationship, When a Weber gain
stage is added to the model at the photoreceptor level, the resulting
two-stage gain control model is shown to account quantitatively for t
he ganglion cell t.v.i. curve of Bufo marinus over the full range of b
ackground levels studied by Donner et al. (C) 1997 Elsevier Science Lt
d.