Efficient coding theory

…of noise in the scene decreases, efficient coding theory predicts a transition in sensory processing. At low light levels, sensory systems should integrate spatial and temporal information, while at high light levels, neural processing should differentiate incoming signals to subtract predictive components. Previous experimental work has shown that, indeed, the center-surround structure of spatia

…Classical efficient coding theory describes how sensory systems can maximize information transmission given such capacity constraints, but it treats all input features equally. Not all inp

The efficient coding theory postulates that sensory neurons compress relevant information before sending it to the rest of the brain. To this end, these neurons are thought not to signal all input features, but only surprising events, e.g. mismatches between expected and perceived inputs. In the retina, it has been shown that ganglion cells, the retinal output, strongly respond when a periodic sequence of flashes suddenly ends. Strikingly, the latency of this response shifts by the same amount as the period of the flash sequence, as if ganglion cells responded to the omitted flash with constan

Efficient coding theory, which stipulates that the nervous system attempts to minimize redundancy in stimulus coding, has proven widely successful in predicting observed features in early sensory systems, including center-surround receptive fields (RFs), ON and OFF parallel pathways, and the relative arrangement of ON and OFF RF mosaics. However, relatively limited work has addressed the encoding of spatiotemporal stimuli. Ocko et al. (2018) examined spatiotemporal encoding in the retina using an approach based on a convolutional autoencoder, replicating known features of retinal ganglion cell

…statistics -- a core tenet of Barlow's efficient coding theory. However, experimental measureme