1,720,984 research outputs found
Raw EEG data
Raw EEG data for Damsma, A., De Roo, M., Doelling, K., Bazin, P.L., & Bouwer, F.L. (preprint). Tempo-dependent selective enhancement of neural responses at the beat frequency can be explained by both an oscillator and an evoked model
Clean EEG data
Clean EEG data for Damsma, A., De Roo, M., Doelling, K., Bazin, P.L., & Bouwer, F.L. (preprint). Tempo-dependent selective enhancement of neural responses at the beat frequency can be explained by both an oscillator and an evoked model
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Tempo-dependent selective enhancement of neural responses at the beat frequency can be mimicked by both an oscillator and an evoked model
All scripts and data for the paper Damsma, A., De Roo, M., Doelling, K., Bazin, P.L., & Bouwer, F.L. (submitted). Tempo-dependent selective enhancement of neural responses at the beat frequency can be explained by both an oscillator and an evoked model
Tempo-dependent selective enhancement of neural responses at the beat frequency can be mimicked by both an oscillator and an evoked model
All scripts and data for the paper Damsma, A., De Roo, M., Doelling, K., Bazin, P.L., & Bouwer, F.L. (submitted). Tempo-dependent selective enhancement of neural responses at the beat frequency can be explained by both an oscillator and an evoked model
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
What do we need to hear a beat? The influence of attention, musical abilities, and accents on the perception of metrical rhythm
In this dissertation, I examine beat perception, the process that allows us to make music together. I explore the effects of attention, musical abilities, and accents on beat perception. Additionally, I address several methodological issues that arise when probing beat perception with event-related potentials (ERPs).Using a web-based setup, we show that musical training increases the sensitivity of listeners to the structure of accents in rhythm that indicates the beat. Furthermore, listeners responded qualitatively differently to different types of accents. Using a speeded detection task, we show that the influence of a perceived beat on processing of rhythmic events can be characterized both by temporal fluctuations in attention and temporal predictions. Using EEG, we provide evidence for the presence of beat perception when attention is directed away from rhythm. In highly trained musicians we found that the P1 response, an obligatory ERP response to sound, was larger for events on the beat than off the beat. In both musically trained and untrained participants, unexpected silences and intensity decreases elicited larger mismatch negativity (MMN) and P3a responses on the beat than off the beat, even when attention was not directed at a rhythm. Throughout this dissertation, I show the importance of differentiating between beat perception and other factors that may influence ERP responses, such as acoustic variation and statistical learning of a sound sequence. Finally, I propose that beat perception can be regarded as an ability that consists of several different mechanisms that together allow us to synchronize to music
What do we need to hear a beat? The influence of attention, musical abilities, and accents on the perception of metrical rhythm
In this dissertation, I examine beat perception, the process that allows us to make music together. I explore the effects of attention, musical abilities, and accents on beat perception. Additionally, I address several methodological issues that arise when probing beat perception with event-related potentials (ERPs). Using a web-based setup, we show that musical training increases the sensitivity of listeners to the structure of accents in rhythm that indicates the beat. Furthermore, listeners responded qualitatively differently to different types of accents. Using a speeded detection task, we show that the influence of a perceived beat on processing of rhythmic events can be characterized both by temporal fluctuations in attention and temporal predictions. Using EEG, we provide evidence for the presence of beat perception when attention is directed away from rhythm. In highly trained musicians we found that the P1 response, an obligatory ERP response to sound, was larger for events on the beat than off the beat. In both musically trained and untrained participants, unexpected silences and intensity decreases elicited larger mismatch negativity (MMN) and P3a responses on the beat than off the beat, even when attention was not directed at a rhythm. Throughout this dissertation, I show the importance of differentiating between beat perception and other factors that may influence ERP responses, such as acoustic variation and statistical learning of a sound sequence. Finally, I propose that beat perception can be regarded as an ability that consists of several different mechanisms that together allow us to synchronize to music
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