Simple Cells and Complex Cells
Simple cells vs Complex cells
simple cells | complex cells | |
---|---|---|
feature | with excitatory and inhibitory regions in RFs | with no inhibitory and excitatory regions in RFs |
example | the cell responds to a horizontal slit and responds higher when the slit is positioned somewhere in RFs; similarly, the cell will respond to drifiting gratings | the cell responds to a horizontal slit anyway, the position does not matter; similarly, the cell will not respond to drifting gratings |
orientation selectivity (e.g. is the slit horizontal?) | Y | Y |
spatial-frequency selectivity | Y | Y |
spatial-phase selectivity | Y | N (phase invariance) |
model | Gabor filter | combination of simple cell responses |
Simple cell model: Gabor filter (linear)
A Gabor filter can be viewed as a sinusoidal signal of particular frequency and orientation, modulated by a Gaussian wave.
Real-valued Gabor filter in the space domain:
Simple cell receptive fields (e.g. in cat striate cortex) are often found to be well fit by Gabor functions.
If including the orientation angle
- with
, G is an even-symmetrical Gabor - with
, G is an odd-symmetrical Gabor
Complex cell model: Quadrature pair of simple cell models
To model the phase-invariance, the model of complex cells is the summation of responses of simple cells with phase difference
For example, Pollen & Ronner (1981) found neighboring simple cells in cat primary visual cortex with similar orientation and spatial-frequency tuning, but 90 degree phase shift.