Wiener and Volterra analyses applied to the auditory system
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Cited by (106)
Incorporating behavioral and sensory context into spectro-temporal models of auditory encoding
2018, Hearing ResearchCitation Excerpt :Incorporating multiple contextual variables into a single model will also reveal how the underlying modulatory processes emerge and interact in auditory pathways. As theories of auditory coding have developed, the STRF has been identified as a special case of a much broader class of sensory encoding models (Eggermont, 1993; Wu et al., 2006). Encoding models represent any solution to the general problem of characterizing the functional relationship between sensory stimuli and neural responses.
Selective processing of auditory evoked responses with iterative-randomized stimulation and averaging: A strategy for evaluating the time-invariant assumption
2016, Hearing ResearchCitation Excerpt :The maximum length sequence (MLS) technique was developed by Eysholdt and Schreiner (1982) to overcome the rate limitation imposed by the conventional technique. This technique was extensively used not only to record AEPs at fast stimulation rates, when the responses are overlapped (Burkard and Palmer, 1997; Eggermont, 1993; Lasky et al., 1995), but also to analyze the linear and non-linear interaction components of otoacoustic emissions (de Boer et al., 2007; Hine et al., 1997, 2001; Lineton et al., 2006). Stimulus-onset asynchrony (SOA), i.e. the distribution of time intervals between adjacent stimuli, are multiples of a minimum pulse interval in MLS sequences, which leads to stimulation sequences of a large jitter (Burkard et al., 1990; Özdamar et al., 2007).
The immediate effects of acoustic trauma on excitation and inhibition in the inferior colliculus: A Wiener-kernel analysis
2016, Hearing ResearchCitation Excerpt :These components cannot be separated by studying responses to tones, unless excitation and inhibition are clearly separated in time. Wiener-kernel analysis is a technique that is able to disentangle inhibition that is hidden within the excitatory passband (Eggermont, 1993; van Dijk et al., 1997; Yamada and Lewis, 1999; Temchin et al., 2005; van Dijk et al., 2011). To apply this analysis, neural responses from the auditory system to broadband Gaussian noise are measured.
Treefrogs as animal models for research on auditory scene analysis and the cocktail party problem
2015, International Journal of PsychophysiologySystem identification of point-process neural systems using Probability Based Volterra kernels
2015, Journal of Neuroscience MethodsCitation Excerpt :An additional benefit of the nonparametric approach is that the model will not change with future discoveries (Song et al., 2009, 2009). The nonparametric approach has a long history in sensory neuroscience and has been successfully applied to diverse areas such as the retina (Marmarelis and Naka, 1973), visual cortex (Rapela et al., 2006; Touryan et al., 2005), and auditory cortex (Eggermont, 1993; Slee et al., 2005). The problem of modeling transformations between spike trains necessitates a nonlinear approach not only because this transformation is intrinsically nonlinear due to the presence of a threshold (Marmarelis et al., 1986), but also because nonlinear interactions are known to occur in the nervous system between pairs and triplets of input spikes (Dittman et al., 2000; Song et al., 2009).