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Found 5 papers, 3 papers with code
Adaptive whitening with fast gain modulation and slow synaptic plasticity
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 their responses.
Adaptive coding efficiency in recurrent cortical circuits via gain control
Using published V1 population adaptation data, we show that propagation of single neuron gain changes in a recurrent network is sufficient to capture the entire set of observed adaptation effects.
Adaptive whitening in neural populations with gain-modulating interneurons
Statistical whitening transformations play a fundamental role in many computational systems, and may also play an important role in biological sensory systems.
Representational dissimilarity metric spaces for stochastic neural networks
Quantifying similarity between neural representations -- e. g. hidden layer activation vectors -- is a perennial problem in deep learning and neuroscience research.
Multi-rate adaptive transform coding for video compression
Contemporary lossy image and video coding standards rely on transform coding, the process through which pixels are mapped to an alternative representation to facilitate efficient data compression.
