ePoster · Computational Neuroscience
Adaptive coding efficiency through joint gain control in neural populations
Lyndon Duong, David Lipshutz, David Heeger, Dmitri Chklovskii, Eero Simoncelli · COSYNE 2023
Fri, Mar 10, 2023
Efficiently transmitting information from dynamic environments necessitates sensory systems that rapidly and reversibly adapt to changes in input statistics. Single neurons adjust their input-output gains to adaptively normalize their stimulus-driven response variance (Fairhall et al. 2001). In neural populations, statistical whitening and related adaptations have been observed (Dan et al. 1996; Benucci et al. 2013; Wanner and Friedrich 2020), whereby joint statistics of neurons are decorrelated in addition to being re-scaled to have equal variance. Existing models of neural population adapt