On the complex dynamics of intracellular ganglion cell light responses in the cat retina

• Published in: Biological cybernetics 1996-04, Vol.74 (4), p.299-308
• Main Authors: Przybyszewski, A W, Lankheet, M J, van de Grind, W A
• Format: Article
• Language: English
• Subjects: Action Potentials; Animals; Cats; Ion Channels - metabolism; Models, Neurological; Patch-Clamp Techniques; Periodicity; Photic Stimulation; Retinal Ganglion Cells - physiology; Retinal Ganglion Cells - radiation effects; Signal Detection, Psychological - physiology; Space life sciences; Species Specificity; Visual Perception - physiology
• ISSN: 0340-1200; 1432-0770
• DOI: 10.1007/BF00194922

We recorded intracellular responses from cat retinal ganglion cells to sinusoidal flickering lights, and compared the response dynamics with a theoretical model based on coupled nonlinear oscillators. Flicker responses for several different spot sizes were separated in a "smooth" generator (G) potential and corresponding spike trains. We have previously shown that the G-potential reveals complex, stimulus-dependent, oscillatory behavior in response to sinusoidally flickering lights. Such behavior could be simulated by a modified van der Pol oscillator. In this paper, we extend the model to account for spike generation as well, by including extended Hodgkin-Huxley equations describing local membrane properties. We quantified spike responses by several parameters describing the mean and standard deviation of spike burst duration, timing (phase shift) of bursts, and the number of spikes in a burst. The dependence of these response parameters on stimulus frequency and spot size could be reproduced in great detail by coupling the van der Pol oscillator and Hodgkin-Huxley equations. The model mimics many experimentally observed response patterns, including non-phase-locked irregular oscillations. Our findings suggest that the information in the ganglion cell spike train reflects both intraretinal processing, simulated by the van der Pol oscillator, and local membrane properties described by Hodgkin-Huxley equations. The interplay between these complex processes can be simulated by changing the coupling coefficients between the two oscillators. Our simulations therefore show that irregularities in spike trains, which normally are considered to be noise, may be interpreted as complex oscillations that might carry information.