Sparse coding and high-order correlations in fine-scale cortical networks

Sensory cortical neurons are interconnected at different scales, and this could be related to differences in functional interactions. Using maximum entropy models, these authors explore the correlation structure of neurons in primary visual cortex of anaesthetized monkeys recorded using multiple tetrodes. They conclude that distant neurons display pairwise correlations but that local networks can have more complex interactions that may act to sparsify the neural code.