f_{L} and f_{R} 
The left and the right RFs of a simple energy neuron 
I

The image patch that falls on the RFs of the simple neurons 
Gauss

The Gaussian function of the simple neuron RF 
Sin 
The sinusoid of the simple neuron RF 
φ_{L} and φ_{R} 
The left and the right phase shifts of the simple neuron RFs 
σ_{x} and σ_{y} 
The horizontal and vertical widths of Gauss_{L/R} 
θ

The preferred orientation of the simple neuron RF 
ω_{0}

The peak preferred spatial frequency of the simple neuron RF 
C_{0}

Classical complex energy neuron 
C

Complex energy neuron with a normalized response 
C_{x,y,d}

Response of a population of C neurons with RFs at x,y and tuned to disparity d pooled over scales and orientations 
(−d_{m}, d_{m}) 
The range of disparities to which the complex energy neurons C are tuned 

The response C_{x,y,d} for all disparities (−d_{m}, d_{m}), referred to throughout as the disparity profile 
MG_{x,y}

Neurons computing the match goodness metric for occlusion detection 
M*

A neuron computing the maximal response of the whole population of disparity detectors 

Rectification with respect to the threshold θ_{n} or 0, respectively 
and 
The response of a population of complex neurons with all the left eye/right eye RFs fixed at location x,y 
n(x)

A normalization function 
R_{x,y,d}

Neurons computing the difference between disparity profiles and 
LRC_{x,y}

Neurons computing the leftright match correspondence 
OCC_{x,y}

Monocular occlusion detectors combining the outputs of LRC_{x,y} and MG_{x,y} 
ES_{x,y,w,s}

Endstopped neurons, receiving input from OCC_{x,y} neurons with an excitatory center of width w, which is shifted by s with respect to location x,y 
W_{x,y,w}

Neurons computing the likelihood that x,y is located within a monocularly occluded region of size w 

The response of a population of W_{x,y,w} neurons tuned to different widths, referred to as the occlusion width profile 
γ_{n}

The weight of inhibitory interneural connections 

The disparity profile at location x,y with the response to disparity d zeroed 
RE_{x,y,d}

Neurons computing the difference between the maximum response in and the maximum response in 

The response of a population of RE_{x,y,d} neurons with different disparities zeroed 
REL_{x,y}

Neurons computing the reliability of disparity estimates at location x,y 
OMG_{x,y}

Neurons computing the overall match goodness 
DE_{x,y}

Disparity edge detectors 
LE_{x,y}

Luminance edge detectors 
ED_{x,y}

Combined edge detectors 
OBJ_{x,y,x′,y′}

Neurons signaling whether x,y and x′,y′ belong to the same object 
BIN_{x,y,d}

Neurons computing final disparities for binocular locations 
MON_{x,y,d}

Neurons computing final disparities for monocularly occluded locations 
3D_{x,y,d}

Neurons computing final disparities by combining BIN_{x,y,d} and MON_{x,y,d} responses 
BS_{x,y,d}

Neurons aggregating support from binocular regions around monocularly occluded locations 
MS_{x,y,d}

Neurons aggregating support from monocular regions around monocularly occluded locations 
NL, NA, NB, NR

Regions to the left, above, below, and to the right of a monocularly occluded region from where support is aggregated 
H × W

The height and the width of the support regions NL, NA, NB, NR 
3D
_{ΣNX,d}

Summed and weighted response to disparity d in the support region NX 
Gauss_{x,y,σ}

A 2D Gaussian function centered on x,y with a standard deviation σ 
PROP_{x+s,y,d}

Neurons propagating disparity signals from monocularly occluded locations x,y to binocular locations x + s, y 