Abstract
We study the effect of long-term habituation signatures of auditory selective attention reflected in the instantaneous phase information of the auditory event-related potentials (ERPs) at four distinct stimuli levels of 60, 70, 80, and 90 dB SPL. The analysis is based on the single-trial level. The effect of habituation can be observed in terms of the changes (jitter) in the instantaneous phase information of ERPs. In particular, the absence of habituation is correlated with a consistently high phase synchronization over ERP trials. We estimate the changes in phase concentration over trials using a Bayesian approach, in which the phase is modeled as being drawn from a von Mises distribution with a concentration parameter which varies smoothly over trials. The smoothness assumption reflects the fact that habituation is a gradual process. We differentiate between different stimuli based on the relative changes and absolute values of the estimated concentration parameter using the proposed Bayesian model.
Highlights
We describe: (1) Definition of the habituation-mechanism, (2) The importance of analyzing phase information of auditory event related potentials (ERPs), and (3) Methods for objectively characterizing such phase information.In almost all natural settings, animals are exposed to multiple concurrent streams of sensory information (Rosen, 1992; Chandrasekaran et al, 2010)
Since our ERP images contain a high level of selfsimilarity—because of the time-locked stimulation (Strauss et al, 2013)—we have previously shown that the nonlocal-means algorithm (NLM) algorithm is a good way to denoise our data while maintaining the regularities between multiple trials (Strauss et al, 2013)
After applying our Bayesian model, we compute the mean square error (MSE) of the estimated concentration and the actual concentration that was used for generating the data
Summary
We describe: (1) Definition of the habituation-mechanism, (2) The importance of analyzing phase information of auditory event related potentials (ERPs), and (3) Methods for objectively characterizing such phase information.In almost all natural settings, animals are exposed to multiple concurrent streams of sensory information (Rosen, 1992; Chandrasekaran et al, 2010). To make sense of this sensory overload, it is crucial to filter it by increasing attention to stimuli that are important or novel and by decreasing attention to those that are irrelevant. One way of filtering out irrelevant information is through habituation, a simple form of learning that reflects a decrease in attention to repeated stimuli not caused by sensory adaptation or sensory fatigue (Rankin et al, 2009; Thompson, 2009; Domjan, 2014). One neural signature of habituation can be found in the N100 wave component of auditory event related potentials (ERPs). Habituation is believed to be explained as the gradual reduction in the selective attention to the stimulus which is reflected as a reduction of the N100 component of measured ERPs (Thompson, 2009). The reduction of the N100 wave can be observed both in the amplitude (Butler et al, 1969; Öhman and Lader, 1972; Hillyard et al, 1973; Rosburg et al, 2006) and phase (Babiloni et al, 2002; Busch et al, 2009; Low and Strauss, 2011; Mortezapouraghdam et al, 2014) of the signal
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