The Journal of Neuroscience, August 9, 2006, ():
Effects of Sensing Behavior on a Latency Code
J. Neurosci. Sawtell et al.
26: 8221
Supplemental data
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Figure S1, Static nonlinearity improves white-noise filter predictions for large amplitude modulations. Top row: actual versus predicted latency for an afferent driven by 1% SD amplitude modulations (same afferent as top row of Figure 7), (A) without static nonlinearity; (B) with static nonlinearity; (C) using present amplitude only, without static nonlinearity; (D) using present amplitude only, with static nonlinearity. Bottom row: (E-H) same as (A-D), but for an afferent driven by 5% SD amplitude modulations (same afferent as bottom row of Figure 7). Note the improvement in prediction accuracy with the addition of a static nonlinearity for large amplitude modulations (E,G) but not for small modulations (B,D).
