BDE_Gabor
BDE_Gabor_DS
BDE_RPC
ME_Gabor
MEO_Gabor
Parameter Text Files
Summary
This binocular disparity energy (BDE) model has linear spatial filters that are
3-D Gabor functions (Gaussian times sinusoid) and varying temporal filter generating
a range of selectivities for both binocular disparity and motion direction.
This model was described by Chen et al (1990). There are 4 variants based on those shown in
their Figure 2: tuned excitatory (TE),
tuned inhibitory (TI), near (NE), and far (FA) models, which also vary in strength of
selectivity for motion direction.
Results
Data Browser
The raw signal (bde) is then offset, scaled and half-wave rectified (although the signal is typically already non-zero unless the scaling or offset has introduced negative values), and it is used to drive a Poisson spiking mechanism. The spikes are time shifted to simulate a neurobiological latency. See the model (.moo) files for the parameters that govern these computations.