Many neural systems extend their dynamic range by adaptation. We examine the timescales of adaptation in the context of dynamically modulated rapidly-varying stimuli, and demonstrate in the fly visual system that adaptation to the statistical ensemble of the stimulus dynamically maximizes information transmission about the time-dependent stimulus. Further, while the rate response has long transients, the adaptation takes place on timescales consistent with optimal variance estimation.
['Adrienne L. Fairhall', 'Geoffrey D. Lewen', 'William Bialek', 'Rob de Ruyter van Steveninck']
Multiple Timescales of Adaptation in a Neural Code