Refractoriness in the maintained discharge of the cat's retinal ganglion cell.

When effects due to refractoriness (reduction of sensitivity following a nerve impulse) are taken into account, the Poisson process provides the basis for a model which accounts for all of the first-order statistical properties of the maintained discharge in-the retinal ganglion cell of the cat. The theoretical pulse-number distribution (PND) and pulse-interval distribution (PID) provide good fits to the experimental data reported by Barlow and Levick for on-center, off-center, and luminance units. The model correctly predicts changes in the shape of the empirical PND with adapting luminance and duration of the interval in which impulses are counted (counting interval). It also requires that a decrease in sensitivity to stimulation by light with increasing adapting luminance occur prior to the ganglion cell and is thus consistent with other data. Under the assumptions of the model, both on-center and off-center units appear to exhibit increasing refractoriness as the adapting luminance increases. Relationships are presented between the PND and PID for Poisson counting processes without refractoriness, with a fixed refractory period, and with a stochastically varying refractory period. It is assumed that events unable to produce impulses during the refractory period do not prolong the duration of the period (nonparalyzable counting). A short refractory period (e.g., 2% of the counting interval) drastically alters both the PND and PID, producing marked decreases in the mean and variance of the PND along with an increase in the ratio of mean to variance. In all cases of interest, a small amount of variability in refractory-period duration distinctly alters the PID from that obtainable with a fixed refractory period but has virtually no effect on the fixed-refractory period PND. Other two-parameter models that invoke scaling of a Poisson input and paralyzable counting yield predictions that do not match the data.

[1]  C. Enroth-Cugell,et al.  The contrast sensitivity of retinal ganglion cells of the cat , 1966, The Journal of physiology.

[2]  W. Levick,et al.  Temporal characteristics of responses to photic stimulation by single ganglion cells in the unopened eye of the cat. , 1966, Journal of neurophysiology.

[3]  R. Stein A THEORETICAL ANALYSIS OF NEURONAL VARIABILITY. , 1965, Biophysical journal.

[4]  Contributions to the Statistical Theory of Counter Data , 1953 .

[5]  Walter L. Smith On renewal theory, counter problems and quasi-Poisson processes , 1957 .

[6]  Jörg W. Müller Dead-time problems , 1973 .

[7]  J. E. Rose,et al.  Phase-locked response to low-frequency tones in single auditory nerve fibers of the squirrel monkey. , 1967, Journal of neurophysiology.

[8]  G. Bedard,et al.  Dead-time corrections to the statistical distribution of photoelectrons , 1967 .

[9]  G. Lachs,et al.  Photocount time interval distribution for superposed coherent and chaotic radiation , 1976 .

[10]  David R. Cox,et al.  THE SUPERPOSITION OF SEVERAL STRICTLY PERIODIC SEQUENCES OF EVENTS , 1953 .

[11]  A. Hodgkin,et al.  Changes in time scale and sensitivity in the ommatidia of Limulus , 1964, The Journal of physiology.

[12]  W. Stiles,et al.  Saturation of the Rod Mechanism of the Retina at High Levels of Stimulation , 1954 .

[13]  R. W. Rodieck Maintained activity of cat retinal ganglion cells. , 1967, Journal of neurophysiology.

[14]  H. Barlow,et al.  Responses to single quanta of light in retinal ganglion cells of the cat. , 1971, Vision research.

[15]  D H Johnson,et al.  Analysis of discharges recorded simultaneously from pairs of auditory nerve fibers. , 1976, Biophysical journal.

[16]  Jörg W. Müller Some formulae for a dead-time-distorted Poisson process , 1974 .

[17]  Photocounting distributions with variable dead time. , 1975, Applied optics.

[18]  O. Grüsser,et al.  Temporal Transfer Properties of the Afferent Visual System Psychophysical,Neurophysiological and Theoretical Investigations , 1973 .

[19]  M M Sondhi,et al.  Model for visual luminance discrimination and flicker detection. , 1968, Journal of the Optical Society of America.

[20]  A. Holden Models of the stochastic activity of neurones , 1976 .

[21]  H Ikeda,et al.  Receptive field organization of ‘sustained’ and ‘transient’ retinal ganglion cells which subserve different functional roles , 1972, The Journal of physiology.

[22]  R. Devoe A Nonlinear Model for Transient Responses from Light-Adapted Wolf Spider Eyes , 1967, The Journal of general physiology.

[23]  Scaling and refractoriness in pulse trains. , 1969, Journal of the Optical Society of America.

[24]  H. Barlow,et al.  MAINTAINED ACTIVITY IN THE CAT'S RETINA IN LIGHT AND DARKNESS , 1957, The Journal of general physiology.

[25]  Walter L. Smith Renewal Theory and its Ramifications , 1958 .

[26]  J. Kelsey Studies on Excitation and Inhibition in the Retina , 1976 .

[27]  R. Winters,et al.  Transient and steady state stimulus-response relations for cat retinal ganglion cells. , 1970, Vision research.

[28]  H. Barlow,et al.  Changes in the maintained discharge with adaptation level in the cat retina , 1969, The Journal of physiology.

[29]  C. G. Mueller A QUANTITATIVE THEORY OF VISUAL EXCITATION FOR THE SINGLE PHOTORECEPTOR. , 1954, Proceedings of the National Academy of Sciences of the United States of America.

[30]  M. Abramowitz,et al.  Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .

[31]  P. Manfredi,et al.  Statistical behaviour of systems with variable dead-time , 1965 .

[32]  C. Bendjaballah,et al.  Statistical properties of intensity‐modulated coherent radiation. Theoretical and experimental aspects , 1973 .

[33]  J. Goldberg,et al.  RESPONSE OF NEURONS OF THE SUPERIOR OLIVARY COMPLEX OF THE CAT TO ACOUSTIC STIMULI OF LONG DURATION. , 1964, Journal of neurophysiology.

[34]  W. J. McGill Neural counting mechanisms and energy detection in audition , 1967 .

[35]  R. Stein Some models of neuronal variability. , 1967, Biophysical journal.

[36]  E. A. Trabka Effect of scaling optic-nerve impulses on increment thresholds. , 1969, Journal of the Optical Society of America.

[37]  J. Levinson,et al.  One-stage model for visual temporal integration. , 1966, Journal of the Optical Society of America.

[38]  P. F. Manfredi,et al.  COUNTING STATISTICS AND DEAD-TIME LOSSES. PART 1 , 1964 .

[39]  Walter L. Smith,et al.  ON THE SUPERPOSITION OF RENEWAL PROCESSES , 1954 .

[40]  J. Roufs,et al.  Dynamic properties of vision. II. Theoretical relationships between flicker and flash thresholds. , 1972, Vision research.

[41]  Recovery from the discharge of an impulse in a single visual receptor unit , 1940 .

[42]  W. Levick,et al.  Maintained Discharge in the Visual System and its Role for Information Processing , 1973 .

[43]  ON THE ORIGIN OF THE DARK DISCHARGE OF RETINAL GANGLION CELLS. , 1965, Archives italiennes de biologie.

[44]  J. Stone,et al.  Properties of cat retinal ganglion cells: a comparison of W-cells with X- and Y-cells. , 1974, Journal of neurophysiology.

[45]  R. Marrocco,et al.  Maintained activity of monkey optic tract fibers and lateral geniculate nucleus cells. , 1972, Vision research.

[46]  L Matin,et al.  Critical duration, the differential luminance threshold, critical flicker frequency, and visual adaptation: a theoretical treatment. , 1968, Journal of the Optical Society of America.

[47]  Gertrud Hahlweg,et al.  Sog. fibroplastische Myocarditis bei Oxalose , 1966 .

[48]  Malvin C. Teich,et al.  Dead-time-corrected photocounting distributions for laser radiation* , 1975 .

[49]  H. Barlow,et al.  Three factors limiting the reliable detection of light by retinal ganglion cells of the cat , 1969, The Journal of physiology.

[50]  W. J. McGill,et al.  Neural Counting and Photon Counting in the Presence of Dead Time , 1976 .