An application of the principle of maximum information preservation to linear systems
Advances in neural information processing systems 1
Optimal sampling of natural images: a design principle for the visual system?
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Exploring cortical microcircuits: a combined anatomical, physiological, and computational approach
Single neuron computation
What does the retina know about natural scenes?
Neural Computation
Understanding retinal color coding from first principles
Neural Computation
Toward a theory of the striate cortex
Neural Computation
Feature extraction through LOCOCODE
Neural Computation
A survey of architecture and function of the primary visual cortex (V1)
EURASIP Journal on Applied Signal Processing
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This paper demonstrates that much of visual motion coding in the primary visual cortex can be understood from a theory of efficient motion coding in a multiscale representation. The theory predicts that cortical cells can have a spectrum of directional indices, be tuned to different directions of motion, and have spatiotemporally separable or inseparable receptive fields (RF). The predictions also include the following correlations between motion coding and spatial, chromatic, and stereo codings: the preferred speed is greater when the cell receptive field size is larger, the color channel prefers lower speed than the luminance channel, and both the optimal speeds and the preferred directions of motion can be different for inputs from different eyes to the same neuron. These predictions agree with experimental observations. In addition, this theory makes predictions that have not been experimentally investigated systematically and provides a testing ground for an efficient multiscale coding framework. These predictions are as follows: (1) if nearby cortical cells of a given preferred orientation and scale prefer opposite directions of motion and have a quadrature RF phase relationship with each other, then they will have the same directional index, (2) a single neuron can have different optimal motion speeds for opposite motion directions of monocular stimuli, and (3) a neuron's ocular dominance may change with motion direction if the neuron prefers opposite directions for inputs from different eyes.