Fig. 1: Schematic overview on deciphering variability across time and hierarchy.
From: Deciphering neuronal variability across states reveals dynamic sensory encoding
A Neuronal variability is a combined effect of influences from independent stochastic processes including external sensory factors, behavior, and fluctuations in internal brain states. The resulting neuronal responses exhibit a variable temporal structure across trials and individual neurons. Capturing these temporal dynamics is a challenging problem and lies at the core of understanding the functional role of neuronal variability. B Top: Schematic of the experimental setup. Bottom: Neuropixels probes in six visual cortical areas simultaneously record local field potentials and spiking activity. A retinotopic sign map overlaid on the vasculature image guides area-specific targeting. C Anatomical hierarchy scores of the six visual areas recomputed from ref. 25. Studying variability along the visual hierarchy can reveal important insights about information propagation and encoding at each stage of signal processing.
