Pattern vision

In animals, sensory systems appear optimized for the statistics of the external world. Here the authors take an artificial psychophysics approach, analysing sensory responses in artificial neural networks, and show why these demonstrate the same phenomenon as natural sensory systems.

An ensemble encoding approach uses existing individual encoding models with densely-sampled data to predict brain responses to visual stimuli in novel individuals with small amounts of data.

Perceptual segmentation, grouping distinct parts of the input for further processing, is a hard problem for sensory systems. Here, the authors report a link between spiking activity in primate visual cortical area MT and subjective segmentation.

Sequential light stimulation reduces the sensitivity of retinal ganglion cells via three different mechanisms which differentially affect ON and OFF cells.

The cerebral cortex contains different neural representations of the visual scene. Here, the authors show diverse and stereotyped tuning composing specialized representations in the dorsal and ventral areas of the mouse visual cortex, suggesting parallel processing channels and streams.