Wiener-kernel analysis can separate excitatory from suppressive components in auditory nerve responses

Evidence

We characterized suppression using two approaches: adaptive tracking of two-tone-suppression threshold (62 NH, and 35 HI fibers), and Wiener-kernel analyses of responses to broadband noise (91 NH, and 148 HI fibers). … We factored second-order Wiener-kernels into excitatory and suppressive sub-kernels to quantify the relative strength of suppression. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3812

Using spike-triggered characterization, we probed suppressive influences on firing rate in response to broadband-noise stimulation (e.g., Lewis and van Dijk 2004 ; Schwartz et al. 2006 ). Our implementation is based on singular-value decomposition of the second-order Wiener kernel (h 2 ) in response to 16.5-kHz bandwidth, 15-dB SL noise (Lewis et al. 2002a , 2002b ; Recio-Spinoso et al. 2005 ). We collected ~ 10–20 K spike times per fiber. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3836

Categorization

• DEFINE: Introduces Wiener-kernel system identification as a method for decomposing excitatory and suppressive sub-kernels in broadband responses.
• XREF: Wiener-kernel/system-identification methods connect to the reader’s broader interest in psychoacoustic signal-processing methods and nonlinear system theory.
• corroborated: 2 independent passages support this claim — Dijk, Pim van, Physiology, Psychoacoustics and…, 3812; Dijk, Pim van, Physiology, Psychoacoustics and…, 3836