Differences between electroretinograms of cat and primate

1986 ◽  
Vol 56 (3) ◽  
pp. 747-768 ◽  
Author(s):  
R. F. Hess ◽  
C. L. Baker ◽  
E. Zrenner ◽  
J. Schwarzer

We compared the electroretinogram (ERG) evoked by pattern and uniform field stimulation using steady-state analysis in cat, monkey, and human. Evidence is provided that the pattern-evoked ERG is different in cat and primate. In primate it exhibits a resonance at 8 Hz, a spatial band-pass characteristic, contrast linearity, and no scotopic component. None of these properties are seen in the response to 8-Hz modulation in cat. The ERG evoked by a sinusoidally modulated uniform field of light is composed of a fundamental and a second harmonic component. Although the properties of the fundamental response are similar in cat and primate, the second harmonic response exhibits important differences in its temporal response and luminance dependence. The correspondence between the properties of the pattern-evoked ERG and those of the second harmonic component of the uniform field stimulus in primates suggests a common generator that is different from that of the fundamental response to uniform field stimulation. These differences in the properties of the pattern ERG in cat and primate may suggest either a different generator in cat or one with substantially different properties. This should be taken into account in animal models for the generators of the human pattern ERG response.

1989 ◽  
Vol 2 (2) ◽  
pp. 137-145 ◽  
Author(s):  
V. Porciatti ◽  
R. Alesci ◽  
P. Bagnoli

AbstractTectal evoked potentials (TEPs) in response to sinusoidal gratings of different contrast, spatial and temporal frequency have been recorded from the tectal surface of the pigeon. Responses have been digitally filtered in order to isolate transient oscillatory (fast) potentials (50–150 Hz), transient slow potentials (1–50 Hz), and the steady-state second-harmonic component (16.6 Hz). Transient slow potentials, as well as the steady-state second-harmonic component, are band-pass spatially tuned with a maximum at 0.5 cycles/deg and attenuation at higher and lower spatial frequencies. The high spatial frequency cutoff is 4–5 cycles/deg. Both transient slow potentials and the steady-state second-harmonic component increase in amplitude as a function of log contrast and saturate at about 20% contrast. The contrast sensitivity, as determined by extrapolating TEP amplitude to 0 V is 0.1–0.2%. These characteristics of spatial-frequency selectivity and contrast sensitivity are similar to those reported for single tectal cells. Unlike slow potentials, oscillatory potentials are not band-pass spatially tuned. In addition, their contrast response function does not saturate at moderate contrast. These differences suggest that tectal evoked slow and fast potentials reflect the activity of different neuronal mechanisms.


Author(s):  
Thomas Y.S. Lee

Models and analytical techniques are developed to evaluate the performance of two variations of single buffers (conventional and buffer relaxation system) multiple queues system. In the conventional system, each queue can have at most one customer at any time and newly arriving customers find the buffer full are lost. In the buffer relaxation system, the queue being served may have two customers, while each of the other queues may have at most one customer. Thomas Y.S. Lee developed a state-dependent non-linear model of uncertainty for analyzing a random polling system with server breakdown/repair, multi-phase service, correlated input processes, and single buffers. The state-dependent non-linear model of uncertainty introduced in this paper allows us to incorporate correlated arrival processes where the customer arrival rate depends on the location of the server and/or the server's mode of operation into the polling model. The author allows the possibility that the server is unreliable. Specifically, when the server visits a queue, Lee assumes that the system is subject to two types of failures: queue-dependent, and general. General failures are observed upon server arrival at a queue. But there are two possibilities that a queue-dependent breakdown (if occurs) can be observed; (i) is observed immediately when it occurs and (ii) is observed only at the end of the current service. In both cases, a repair process is initiated immediately after the queue-dependent breakdown is observed. The author's model allows the possibility of the server breakdowns/repair process to be non-stationary in the number of breakdowns/repairs to reflect that breakdowns/repairs or customer processing may be progressively easier or harder, or that they follow a more general learning curve. Thomas Y.S. Lee will show that his model encompasses a variety of examples. He was able to perform both transient and steady state analysis. The steady state analysis allows us to compute several performance measures including the average customer waiting time, loss probability, throughput and mean cycle time.


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