Relative alpha desynchronization and synchronization during perception of music

Relative desynchronization (ERD) and synchronization (ERS) of the 8–10 Hz and 10–12 Hz alpha freqency bands elicited by music were studied in ten musically untrained right-handed subjects. The subjects listened to two five-minute musical excerpts representing two different musical genres, popular and classical, presented both foward and backward. ERD/ERS of the two alpha frequency bands was examined during the first four minutes of stimulus presentation using one-minute time windows. The results demonstrated that both the 8–10 Hz and the 10–12Hz frequency band exhibited reactivity to musical stimuli. The responses of the 8–10Hz and 10–12 Hz alpha frequency bands were dissimilar, dymanic and dependent on both time and stimulation type. The dynamics of these changes over time may explain some discrepancies in earlier EEG studies during listening to music.     

E-wave and heart rate responses during anticipation of nonmotor events

This study concentrated on three main questions: 1) can anticipatory late negative shift (expectancy wave, E-wave) be elicited in nonmotor S1-S2 paradigm, 2) is it sensitive to variation of emotional aspects of the task and 3) is there a connection between heart rate (HR) responses and E-wave. S1 was a letter row that was replaced tachistoscopically by another letter row (S2). The task of the subjects (n=12) was to detect if the critical aspects of S2 were similar to S1. After their delayed response they received feedback of their performance. The emotional aspects of the task were varied by presenting aversive noise bursts at the end of the feedback period either always, contingently to their performance or not at all. A negative shift was present both before S2 and aversive noise (when presented). Varying the emotional aspects of the task had an effect on the amplitude of the E-wave. There was also a connection between E-wave and heart rate responses: heart rate response seemed to be a precondition for E-wave elicitation. The results support Simons’s conclusion that nonmotor E-wave reflects specifically emotional anticipation.     

An experience sampling study of emotional reactions to music: listener, music, and situation

The Experience Sampling Method was used to explore emotions to music as they naturally occurred in everyday life, with a focus on the prevalence of different musical emotions and how such emotions are related to various factors in the listener, the music, and the situation. Thirty-two college students, 20 to 31 years old, carried a palmtop that emitted a sound signal seven times per day at random intervals for 2 weeks. When signaled, participants were required to complete a questionnaire on the palmtop. Results showed that music occurred in 37% of the episodes, and in 64% of the music episodes, the participants reported that the music affected how they felt. Comparisons showed that happiness-elation and nostalgia-longing were more frequent in episodes with musical emotions, whereas anger-irritation, boredom-indifference, and anxiety-fear were more frequent in episodes with nonmusical emotions. The prevalence of specific musical emotions correlated with personality measures and also varied depending on the situation (e.g., current activity, other people present), thus highlighting the need to use representative samples of situations to obtain valid estimates of prevalence.     

The effects of background noise on dichotic listening to consonant-vowel syllables

Lateralization of verbal processing is frequently studied with the dichotic listening technique, yielding a so called right ear advantage (REA) to consonant-vowel (CV) syllables. However, little is known about how background noise affects the REA. To address this issue, we presented CV-syllables either in silence or with traffic background noise vs. 'babble'. Both 'babble' and traffic noise resulted in a smaller REA compared to the silent condition. The traffic noise, moreover, had a significantly greater negative effect on the REA than the 'babble', caused both by a decreased right ear response as well as an increased left ear response. The results are discussed in terms of alertness and attentional factors.     

Constructivist coding: learning from selective feedback

Although much learning in real-life environments relies on highly selective feedback about outcomes, virtually all cognitive models of learning, judgment, and categorization assume complete and representative feedback. We investigated empirically the effect of selective feedback on decision making and how people code experience with selective feedback. The results showed that, in contrast to a commonly raised concern, performance was not impaired following learning with selective and biased feedback. Furthermore, even in a simple decision task, the experience that people acquired was not a mere recording of the observed outcomes, but rather a reconstruction from general task knowledge.     

Adaptive changes between cue abstraction and exemplar memory in a multiple-cue judgment task with continuous cues

The majority of previous studies on multiple-cue judgment with continuous cues have involved comparisons between judgments and multiple linear regression models that integrated cues into a judgment. The authors present an experiment indicating that in a judgment task withadditive combination of multiple continuous cues, people indeed displayed abstract knowledge of the cue criterion relations that was mentally integrated into a judgment, but in a task withmultiplicative combination of continuous cues, people instead relied on retrieval of memory traces of similar judgment cases (exemplars). These results suggest that people may adopt qualitatively distinct forms of knowledge, depending on the structure of a multiple-cue judgment task. The authors discuss implications for theories of multiple-cue judgment.     

The naïve intuitive statistician: a naïve sampling model of intuitive confidence intervals

The perspective of the na?ve intuitive statistician is outlined and applied to explain overconfidence when people produce intuitive confidence intervals and why this format leads to more overconfidence than other formally equivalent formats. The na?ve sampling model implies that people accurately describe the sample information they have but are na?ve in the sense that they uncritically take sample properties as estimates of population properties. A review demonstrates that the na?ve sampling model accounts for the robust and important findings in previous research as well as provides novel predictions that are confirmed, including a way to minimize the overconfidence with interval production. The authors discuss the na?ve sampling model as a representative of models inspired by the na?ve intuitive statistician.