1.3k citations · 3.2k across the 26 of their papers we have counts for
27 papers
Adaptive whitening with fast gain modulation and slow synaptic plasticity
Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii +1
Neurons in early sensory areas rapidly adapt to changing sensory statistics, both by normalizing the variance of their individual responses and by reducing correlations between the…
Adaptive coding efficiency in recurrent cortical circuits via gain control
Lyndon R. Duong, Colin Bredenberg, David J. Heeger +1
Sensory systems across all modalities and species exhibit adaptation to continuously changing input statistics. Individual neurons have been shown to modulate their response gains…
Learning multi-scale local conditional probability models of images
Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat +1
Deep neural networks can learn powerful prior probability models for images, as evidenced by the high-quality generations obtained with recent score-based diffusion methods. But th…
A polar prediction model for learning to represent visual transformations
Pierre-Étienne H. Fiquet, Eero P. Simoncelli
All organisms make temporal predictions, and their evolutionary fitness level depends on the accuracy of these predictions. In the context of visual perception, the motions of both…
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
Thomas Yerxa, Yilun Kuang, Eero Simoncelli +1
The efficient coding hypothesis proposes that the response properties of sensory systems are adapted to the statistics of their inputs such that they capture maximal information ab…
Adaptive whitening in neural populations with gain-modulating interneurons
Lyndon R. Duong, David Lipshutz, David J. Heeger +2
Statistical whitening transformations play a fundamental role in many computational systems, and may also play an important role in biological sensory systems. Existing neural circ…