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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
It is shown that a learning algorithm that attempts to find sparse linear codes for natural scenes will develop a complete family of localized, oriented, bandpass receptive fields, similar to those found in the primary visual cortex.
Sparse coding with an overcomplete basis set: A strategy employed by V1?
Natural image statistics and neural representation.
It has long been assumed that sensory neurons are adapted to the statistical properties of the signals to which they are exposed, but recent developments in statistical modeling have enabled researchers to study more sophisticated statistical models for visual images, to validate these models empirically against large sets of data, and to begin experimentally testing the efficient coding hypothesis.
Sparse Coding via Thresholding and Local Competition in Neural Circuits
- C. Rozell, Don H. Johnson, Richard Baraniuk, B. Olshausen
- Computer Science, BiologyNeural Computation
- 1 October 2008
A locally competitive algorithm (LCA) is described that solves a collection of sparse coding principles minimizing a weighted combination of mean-squared error and a coefficient cost function to produce coefficients with sparsity levels comparable to the most popular centralized sparse coding algorithms while being readily suited for neural implementation.
Sparse coding of sensory inputs
Tent: Fully Test-Time Adaptation by Entropy Minimization
Tent reduces generalization error for image classification on corrupted ImageNet and CIFAR-10/100 and reaches a new state-of-the-art error on ImageNet-C, and optimize the model for confidence as measured by the entropy of its predictions.
Natural image statistics and efficient coding.
It is suggested that a good objective for an efficient coding of natural Scenes is to maximize the sparseness of the representation, and it is shown that a network that learns sparse codes of natural scenes succeeds in developing localized, oriented, bandpass receptive fields similar to those in the mammalian striate cortex.
Shape perception reduces activity in human primary visual cortex
- S. Murray, D. Kersten, B. Olshausen, Paul Schrater, D. Woods
- Psychology, BiologyProceedings of the National Academy of Sciences…
- 4 November 2002
Functional MRI is used to measure activity in a higher object processing area, the lateral occipital complex, and in primary visual cortex in response to visual elements that were either grouped into objects or randomly arranged, suggesting that activity in early visual areas is reduced as a result of grouping processes performed in higher areas.
Do We Know What the Early Visual System Does?
Research is progressing with the goals of defining a single “standard model” for each stage of the visual pathway and testing the predictive power of these models on the responses to movies of natural scenes, which would be an invaluable guide for understanding the underlying biophysical and anatomical mechanisms and relating neural responses to visual perception.
PROBABILISTIC FRAMEWORK FOR THE ADAPTATION AND COMPARISON OF IMAGE CODES
The learned bases are shown to have better coding efficiency than traditional Fourier and wavelet bases and to provide a Bayesian solution to the problems of image denoising and filling in of missing pixels.