Model circuit of spiking neurons generating directional selectivity in simple cells.

By R. Maex, Guy A. Orban. 1996

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Deep learning in neural networks: An overview (2014, methodology): “Many computational models of such spiking neurons have been proposed and analyzed (e.g., Gerstner and van Hemmen, 1992; Zipser et al., 1993; Stemmler, 1996; Tsodyks et al., 1996; Maex and Orban, 1996; Maass, 1996, 1997; Kistler et al., 1997; Amit and Brunel, 1997; Kempter et al., 1999; Song et al., ”
Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex (1997, background): “This proposal differs from a number of recent recurrent models that generally consider intracortical feedback crucial in sharpening the selectivity conferred by the inputs from the lateral geniculate nucleus (Ben-Yishai et al., 1995; Douglas et al., 1995; Somers et al., 1995; Suarez et al., 1995; Ma”
Analysis of Direction Selectivity Arising from Recurrent Cortical Interactions (1998, background): “More recently biophysically detailed simulations have demonstrated that physiologically realistic direction selectivity could arise from recurrent i n teractions between cortical cells with non-direction selective feedforward input (Suarez, Koch & Douglas, 19955 Maex & Orban, 1996).”