Parallel Processing in the Visual System [electronic resource] : The Classification of Retinal Ganglion Cells and its Impact on the Neurobiology of Vision / by Jonathan Stone
In the mid-sixties, John Robson and Christina Enroth-Cugell, without realizing what they were doing, set off a virtual revolution in the study of the visual system. They were trying to apply the methods of linear systems analysis (which were already being used to describe the optics of the eye and the psychophysical performance of the human visual system) to the properties of retinal ganglion cells in the cat. Their idea was to stimulate the retina with patterns of stripes and to look at the way that the signals from the center and the antagonistic surround of the respective field of each ganglion cell (first described by Stephen Kuffier) interact to generate the cell's responses. Many of the ganglion cells behaved themselves very nicely and John and Christina got into the habit (they now say) of calling them I (interesting) cells. However. to their annoyance, the majority of neurons they recorded had nasty, nonlinear properties that couldn't be predicted on the basis of simple summ4tion of light within the center and the surround. These uncoopยญ erative ganglion cells, which Enroth-Cugell and Robson at first called D (dull) cells, produced transient bursts of impulses every time the distribution of light falling on the receptive field was changed, even if the total light flux was unaltered
CONTENT
I. The Classification of Retinal Ganglion Cells -- 1. From the Beginning: Ganglion Cell Classification to 1966 -- 2. The Y/X/W Classification of Cat Retinal Ganglion Cells -- 3. Ganglion Cell Classification in Other Species -- II. On the Methodology of Classification -- 4. Toward Certainty, Objectivity, or Testability? Two Notes on Alternative Methodologies of Classification -- 5. Epistemological Background: Inductivism, Essentialism, Instrumentalism, Falsificationism, and Paradigms -- III. The Impact of Ganglion Cell Classification -- 6. On the Understanding of Visual Processing in the Diencephalon -- 7. On the Understanding of the Visual Centers of the Midbrain -- 8. On the Understanding of Visual Cortex -- 9. On the Understanding of Retinal Topography: A โ{128}{156}Two-Axisโ{128}{157} Model of Mammalian Retina -- 10. On the Understanding of the Visual Pathwaysโ{128}{153} Dependence on the Visual Environment -- 11. On the Understanding of Visual Psychophysics and Behavior -- 12. Extensions and Limits of the Parallel Processing Analysis -- References
