A. Standard deviation for the On and Off pathway outputs of LNK models of eight amacrine and ganglion cells as a function of contrast after normalizing the standard deviation of the entire output to one. Numbers do not sum to one because signals from the On and Off pathways partially cancel. B. Standard deviation (circles) and mean (squares) of the nonlinearity output u(t) in each pathway as a function of contrast. C. Standard deviation of the kinetics block output A(t) in each pathway as a function of the mean input to the kinetics block 〈u〉. A canonical nonlinearity N0 with a threshold at zero was used to generate u(t) as a function of contrast.</p
ng, depressing or facilitating synapse. To derive a learning rule we again make the hypothesis that ...
<p>A. Example of a unit whose gain did not adapt. A1. Tuning curve computed from spikes evoked durin...
For LNK models for a set of eight cells, two parameters of the Off pathway were varied, the rate of ...
A. Output vs contrast for the On (top) and Off (bottom) pathways of an On-Off amacrine cell, compare...
A. Linear–nonlinear–kinetic (LNK) model of an On-Off ganglion cell. Each of two pathways (Top, On pa...
<p>(A) Schematic of adaptive-LN model. Top/bottom, DRC stimuli. DRCs are filtered through a STRF, th...
A. Linear filters computed from the On and Off pathway contributions at high contrast (top) and low ...
<p>A: Scheme of the linear-nonlinear model to fit <b>PostE</b> responses. The stimulus is first conv...
(a) Performance improvement (increase in correlation coefficient relative to an LN model) as a funct...
<p>Examples of single cell response tuning to drifting gratings of varying contrasts are shown in A-...
<p>The distribution histograms show response amplitude obtained, for a given contrast, in constant c...
In the early visual system, a contrast gain control mechanism sets the gain of responses based on th...
(a) Relative firing rate distribution (normalized to population mean) for counter-intuitive shifters...
<p>A. Schematic of LNP model. In the L (linear) step, a stimulus time series is convolved with one o...
A. Top. Contrast of a randomly flickering stimulus drawn from a Gaussian intensity distribution with...
ng, depressing or facilitating synapse. To derive a learning rule we again make the hypothesis that ...
<p>A. Example of a unit whose gain did not adapt. A1. Tuning curve computed from spikes evoked durin...
For LNK models for a set of eight cells, two parameters of the Off pathway were varied, the rate of ...
A. Output vs contrast for the On (top) and Off (bottom) pathways of an On-Off amacrine cell, compare...
A. Linear–nonlinear–kinetic (LNK) model of an On-Off ganglion cell. Each of two pathways (Top, On pa...
<p>(A) Schematic of adaptive-LN model. Top/bottom, DRC stimuli. DRCs are filtered through a STRF, th...
A. Linear filters computed from the On and Off pathway contributions at high contrast (top) and low ...
<p>A: Scheme of the linear-nonlinear model to fit <b>PostE</b> responses. The stimulus is first conv...
(a) Performance improvement (increase in correlation coefficient relative to an LN model) as a funct...
<p>Examples of single cell response tuning to drifting gratings of varying contrasts are shown in A-...
<p>The distribution histograms show response amplitude obtained, for a given contrast, in constant c...
In the early visual system, a contrast gain control mechanism sets the gain of responses based on th...
(a) Relative firing rate distribution (normalized to population mean) for counter-intuitive shifters...
<p>A. Schematic of LNP model. In the L (linear) step, a stimulus time series is convolved with one o...
A. Top. Contrast of a randomly flickering stimulus drawn from a Gaussian intensity distribution with...
ng, depressing or facilitating synapse. To derive a learning rule we again make the hypothesis that ...
<p>A. Example of a unit whose gain did not adapt. A1. Tuning curve computed from spikes evoked durin...
For LNK models for a set of eight cells, two parameters of the Off pathway were varied, the rate of ...