Reduce noise v4 after effects9/2/2023 ![]() ![]() There was, however, some variability in evoked firing rates arising from adaptation. Restricting the analysis to target responses that were not interrupted is possible, but such conditioning on a behavioral state (and likely a modulator state) would complicate any interpretation. ![]() This is difficult to assess in the context of the V4 attentional dataset, since the standard stimuli were all identical, and responses to the targets were often interrupted by saccades. The statistical argument that these inputs are multiplicative (rather than additive) is based on a consideration of their effects as a function of firing rate: multiplicative noise has its greatest effects on response variance (and covariance) for stimuli evoking high firing rates, while additive noise has its greatest effects on response variance (and covariance) for stimuli evoking low firing rates. Evidence for fluctuating modulation of sensory responses was recently provided in ( Goris et al., 2014). The shared modulator model is based on the assumption that the stimulus-driven firing rates of sensory neurons are modulated (multiplied) by a set of additional inputs. ![]()
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