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Comment
. 2006 Dec 1;577(Pt 2):463-6.
doi: 10.1113/jphysiol.2006.118976. Epub 2006 Sep 14.

What simple and complex cells compute

Matteo Carandini  1
Affiliations
Comment

What simple and complex cells compute

Matteo Carandini. J Physiol. .
No abstract available

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Figures

Figure 1
Figure 1. The models of simple and complex cells proposed by Movshon, Thompson and Tolhurst (Movshon et al. 1978a,b)
A, linear model of simple cells. The first stage is linear filtering, i. e. aweighted sum of the image intensities, with weights given by the receptive field. The second stage isrectification: only the part of the responses that is larger than a threshold is seen in the firing rate response. B, subunit model of complex cells. The first stage is linear filtering by a number of receptive fields such asthose of simple cells (here we show four of them with spatial phases offset by 90 deg). The subsequent stages involve rectification, and then summation.
Figure 2
Figure 2. Linearity of spatial summation in simple cells the experiment in Fig. 9 of the first 1978 article by Movshon, Thompson and Tolhurst (Movshon et al. 1978a)
Responses were simulated from a model simple cell with a linear spatial receptive field that summates strongly distorted thalamic inputs (Carandini et al. 2002). A, spatial frequency tuning of the simple cell. The ordinate marks the amplitude of the sinusoidal modulation caused by drifting sinusoidal gratings, whose spatial frequency is plotted on the abscissa. B, profile of the receptive field of the simple cell. The histogram shows the firing rate elicited by flashing bars in various spatial positions across the receptive field. Negative responses indicate responses elicited when withdrawing the bar. The curve shows the prediction based on linearity, obtained by Fourier transform of the data in A.
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References

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