iModel
BDE_Gabor_DS
Binocular Disparity Energy, Gabor Filter, Direction Selective
SummaryBinocular Disparity Energy, Gabor Filter, Direction Selective
This binocular disparity energy (BDE) model has linear spatial filters that are
3-D Gabor functions (Gaussian times sinusoid) and a Gaussian temporal filter.
This model combines the spatial filter model described by Ohzawa et al (1990)
with a temporal filter to generate direction selective responses.
Results
Data Browser
- Ohzawa I, DeAngelis GA, Freeman RD (1990) Stereoscopic Depth Discrimination in the Visual Cortex: Neurons Ideally Suited as Disparity Detectors. Science 239:1047-1051.
- Adelson EH, Bergen JR (1985) Spatiotemporal energy models for the perception of motion. J Opt Soc Am A 2:284-299.
The visual stimulus is processed (convolved) by four linear Gabor
filters. The icons on the top row show x-t slices of the 3D filters, while the
bottom row shows x-y slices for each subunit. The signals from the left and right
eyes fl1 and fr1 (even filters) and fl2 and fr2 (odd
filters) are also inverted, and these positive and negative filter outputs are
combined and half-squared. The four resulting signals are added to form
bde, the binocular disparity energy with direction selectivity.
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.