Efficient processing of sensory data requires adapting the neuronal encoding strategy to the
statistics of natural stimuli. Previously, in Hermundstad et al., 2014, we showed that local …

A key hypothesis in sensory system neuroscience is that sensory representations are
adapted to the statistical regularities in sensory signals and thereby incorporate knowledge …

A central hypothesis concerning sensory processing is that the neuronal circuits are
specifically adapted to represent natural stimuli efficiently. Here we show a novel effect in …

Since all properties (anatomy, physiology and sensory processing mechanisms) of the
human visual system are the product of evolution and postnatal development, it is …

A fundamental component of interacting with our environment is gathering and interpretation
of sensory information. When investigating how perceptual information influences decision …

Intrinsic neuronal variability significantly limits information encoding in the primary visual
cortex (V1). Certain stimuli can suppress this intertrial variability to increase the reliability of …

It has been suggested that the overall organisation of the visual system, including the
response properties of individual neurons, might be optimised for encoding the statistical …

Improvements in perception are frequently accompanied by decreases in correlated
variability in sensory cortex. This relationship is puzzling because overall changes in …

Using the visual system as a model, we recently showed that the efficient coding principle
accounted for the allocation of computational resources in central sensory processing: when …

To model the responses of neurons in the early visual system, at least three basic
components are required: a receptive field, a normalization term, and a specification of …