iModel
Related models

BDE_Gabor
BDE_Gabor_DS
BDE_CWQ
ME_Gabor
MEO_Gabor


Parameter Text Files

BDE_RPC.TE
BDE_RPC.TI
BDE_RPC.NE
BDE_RPC.FA

BDE_RPC
Binocular Disparity Energy after Read, Parker and Cumming

Summary

This binocular disparity energy (BDE) model has linear spatial filters as in the BDE_Gabor model, but with the modification that the monocular outputs of each initial stage filter are rectified before being binocularly combined as described by Read et al (2002). There are 4 variants based on those some of thise shown in their Figure 8: tuned excitatory (TE), tuned inhibitory (TI), near (NE), and far (FA) models.

Results

Please get a Java compatible browser to see this.

Data Browser

Please get a Java compatible browser to see this.
References
  • Read JCA, Parker AJ, Cumming BG (2002) A simple model accounts for the response of disparity-tuned V1 neurons to anticorrelated images. Vis Neurosci 19:735-753.
  • Ohzawa I, DeAngelis GA, Freeman RD (1990) Stereoscopic Depth Discrimination in the Visual Cortex: Neurons Ideally Suited as Disparity Detectors. Science 239:1047-1051.

BDE_RPC

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 then half-wave rectified before being combined via addition or subtraction, and half-squared. The four resulting signals are then added to generate bde, the binocular disparity energy.

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.