A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems

Convergence and Rate Analysis of Neural Networks for Sparse Approximation

(2012) A. Balavoine et al.   IEEE Transactions on Neural Networks and Learning Systems

Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics

(2012) Ruben Coen-Cagli et al.   PLoS Computational Biology

Learning Intermediate-Level Representations of Form and Motion from Natural Movies

(2011) Charles F. Cadieu et al.   NEURAL COMPUTATION

A single functional model accounts for the distinct properties of suppression in cortical area V1

(2011) M.W. Spratling   VISION RESEARCH

A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields

(2011) Joel Zylberberg et al.   PLoS Computational Biology

Iterative Reweighted $\ell_1$ and $\ell_2$ Methods for Finding Sparse Solutions

(2010) D. Wipf et al.   IEEE Journal of Selected Topics in Signal Processing

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

(2010) Yonina C. Eldar et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Synaptic and Network Mechanisms of Sparse and Reliable Visual Cortical Activity during Nonclassical Receptive Field Stimulation

(2010) Bilal Haider et al.   NEURON

On the Role of Sparse and Redundant Representations in Image Processing

(2010) Michael Elad et al.   PROCEEDINGS OF THE IEEE

Sparse Representation for Computer Vision and Pattern Recognition

(2010) John Wright et al.   PROCEEDINGS OF THE IEEE

Enhancing Sparsity by Reweighted ℓ 1 Minimization

(2008) Emmanuel J. Candès et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS

Emergence of complex cell properties by learning to generalize in natural scenes

(2008) Yan Karklin et al.   NATURE

Sparse Coding via Thresholding and Local Competition in Neural Circuits

(2008) Christopher J. Rozell et al.   NEURAL COMPUTATION

Configurable analog signal processing

(2007) Chris Twigg et al.   DIGITAL SIGNAL PROCESSING