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To reach this we discuss in the following shortly the method of linear realization as developed originally by the work of Rudolf Kalman [3],[4],[5]. T denotes the time scale and M(p×m) is the set of matrices of size p×m over a field K. The impulse response A can be interpreted as a multiple I/O experiment on Σ. If T=R (continuous time) and K=R, then Σ is a linear differential system if T=Z (discrete time) and K=R, Σ is a linear difference system if T=Z (discrete time),and K=GF(q),we have for Σ a linear finite state machine LFSM.

Neuron 30, 771–780 (2001) 8. : Systems Methods in Visual Modelling. Sys. Anal. Model Simul. 43, 1159–1171 (2003) 9. : Freeman and Company, San Fransisco (1982) 10. : Response of Cat Retinal Ganglion Cells to Moving Visual Patterns. J. Neurophysiol. 28, 819–832 (1965) 11. : What the Frog’s Eye Tells the Frog’s Brain? Proc. E. 47(11), 1940–1951 (1959) 12. : Contrasts in Spatial Organization of Receptive Fields at Geniculate and Retinal Levels: Centre Surround and Outer Surround. J. Physiol. 228, 115–137 (1973) 13.

These models provide an interesting and fruitful insight into the neurophysiological processes. For the discrete case, this is equivalent to modelling a generalized shift register, which provides for the transformation of space into time. g. a local spatial pulse of light) is equivalent to a time pulse. For the temporal local modelling (linear and non-linear ON, OFF and ONOFF neurons) we consider the modelling based on the interaction of fast and retarded processes. Spatial local contrast detectors are modelled by a similar mechanism [1], [2], [3].

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A Theory of Color Production I by Stieglitz J.

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