Topic: noise correlation

Sensory cortex exhibits highly variable responses to the same stimulus across trials. This variability is correlated across neurons. The pattern of correlated variability is important because it informs us about stimulus encoding and the underlying structural connectivity. In visual areas, it has been shown that correlated variability depends on orientation tuning. However, it is challenging to interpret this tuning dependence when the spikes are generated from a doubly stochastic Poisson process, which is commonly assumed. In this case, spikes can exhibit tuning-dependent noise correlation, e

The accuracy of behavior is constrained by the encoding of sensory information. However little is known about how reliable encoding emerges as animals develop during early life. A better understanding of these developmental processes has the potential to aid in the design of artificial learning systems, and help reveal how neurodevelopmental disorders alter information processing. Here we examine the developmental changes in signal and noise correlation structure of neural activity by analyzing neural recordings of the zebrafish optic tectum evoked by prey-like visual stimuli. We found that si