iModel
Related models

DS_Gabor_One
MEO_Gabor
ME_Gabor
MEO_Gabor_Rot
ME_Gabor_Rot
RD_Exp_T
RD_2Gabor
RD_2Gabor_Rect


Variations

GaborSimp
GaborSimp.hid.01

GaborSimp
Gabor Filter, Simple
Browse model output
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Summary

References
Hubel DH, Wiesel TN (1962) Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology160:106--154.

Movshon JA, Thompson ID, Tolhurst DJ (1978) Spatial summation in the receptive fields of simple cells in the cat's striate cortex. Journal of Physiology283:53--77.

Marcelja S (1980) Mathematical description of the responses of simple cortical cells. Journal of the Optical Society of America 70:1297--1300.

Jones JP, Palmer LA (1987) The two-dimensional spatial structure of simple receptive fields in cat striate cortex. J Neurophysiol 58:1187--1211.

DeAngelis GC, Ohzawa I, Freeman RD (1993) Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. I. General characteristics and postnatal development. J Neurophysiol 69:1091--1117.

DeAngelis GC, Ohzawa I, Freeman RD (1993) Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. II. Linearity of spatial and temporal summation. J Neurophysiol 69:1118--1135.



GaborSimp

The biphasic temporal filter (upper left) is the scaled difference between two Maxwell distribution functions. The temporal filter is multiplied by the spatial Gabor function (lower left) to produce a separable 3D spatio-temporal filter.

The visual stimulus is processed (convolved) by the 3D space-time separable linear filter. The result is scaled and used to drive a Poisson spike generator. A temporal delay is added to the spikes to simulate visual response latency.