Quantitative stimulus-response studies on sustained ganglion cells in the frog retina

Modeling the physiological responses of anuran R3 ganglion cells

Teeters and Arbib (Bio Cybernet 1991;64:197-207) presented a model of the anuran retina which qualitatively accounts for some of the characteristic response properties used to distinguish ganglion cell type in anurans. Teeters et al. (Vis Res 1993;33:2361-2379) tested the model's ability to reproduce data of Ewert and Hock (Exp Brain Res 1972;16:41-59) relating toad R2, R3 and R4 ganglion cell responses to moving worm, antiworm and square-shaped stimuli of various edge lengths for stimulus shape and size dependency. In this paper we provide an exhaustive analysis of the performance of the modeled R3 cells with respect to most of the known qualitative and quantitative physiological properties of natural R3 ganglion cells. We also introduce several relevant predictions of the model relating different responses of R3 cells under the effect of changes in different model components. In some cases the predictions have been tested in neurophysiological experiments.

Stimulation, data acquisition, spikes detection and time/rate analysis with a graphical programming system: an application to vision studies

A Macintosh-based system performs stimulus control and data acquisition, and an off-line analysis, in experiments on visually driven neurons in frog. The stimulus is a target moved on a modified XY recorder. The computer is equipped with a multifunction input/output board to perform stimulus control and data acquisition. The graphical programming system LabVIEW 2 was used to develop the 'Vision 93' package made of 4 main 'virtual instruments' (VIs). By means of DOCS-Exp, the user controls the experiment via screen displays which look like front panels of electronic instruments. DOCS-Preproc performs a user-controlled spike detection and computes mean impulse rate values. DOCS-SAS displays the instantaneous frequency, mean impulse rate, spike counts or interspike time intervals as staircase histograms and/or spline smoothed curves. Finally, DOCS-x-Functions computes and graphs quantitative stimulus/response relationships in terms of velocity, diameter, orientation and configuration of the target. The functionalities of these main VIs are presented and original software components are detailed. System operation is illustrated by using the successive VIs to process a sample signal record.