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Asko, Olgerta; Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingrid; Llorens, Ana?s & Ivanovic, Jugoslav
[Vis alle 12 forfattere av denne artikkelen]
(2024).
Predictive encoding of deviant tone sequences in the human prefrontal cortex.
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Asko, Olgerta; Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingrid; Anais, Llorens & Ivanovic, Jugoslav
[Vis alle 12 forfattere av denne artikkelen]
(2024).
Predictive encoding of deviant tone sequences in the human prefrontal cortex.
Vis sammendrag
The ability to use predictive information to guide perception and action relies heavily on the prefrontal cortex (PFC), yet the involvement of its subregions in predictive processes remains unclear. Recent perspectives propose that the orbitofrontal cortex (OFC) generates predictions about perceptual events, actions, and their outcomes while the lateral prefrontal cortex (LPFC) is involved in prospective functions, which support predictive processes, such as selective attention, working memory, response preparation or inhibition. To further delineate the roles of these PFC areas in predictive processing, we investigated whether lesions would impair the ability to build predictions of future events and detect deviations from expected regularities. We used an auditory deviance detection task, in which the structural regularities of played tones were controlled at two hierarchical levels by rules defined at a local (i.e., between tones within sequences) and global (i.e., between sequences) level.
We have recently shown that OFC lesions affect detecting prediction violations at two hierarchical levels of rule abstraction, i.e., altered MMN and P3a to local and simultaneous local + global prediction violations (https://doi.org/10.7554/eLife.86386). Now, we focus on the task's predictive aspect and present the latest results showing the involvement of PFC subregions in anticipation of deviances informed by implicit predictive information.
Behavioral data shows that deviance expectancy induced faster deviance detection in healthy adults (n=22), suggesting that participants track a state space representation of the task and anticipate upcoming deviant sequences.
The analysis of EEG data from patients with focal lesions to the OFC (n = 12) or LPFC (n = 10), and SEEG from the same areas in patients with epilepsy (n = 7), revealed interesting differences. Healthy adults (n = 15) showed modulations of the Contingent Negative Variation (CNV) – a marker of anticipatory activity - tracking the expectancy of deviant tone sequences. However, patients with OFC lesions lacked CNV sensitivity to the predictive context, while patients with LPFC lesions showed moderate sensitivity compared to healthy adults. These results were further supported by intracranial recordings, which revealed expectancy modulation of the high-frequency broadband signal from electrodes in OFC and LPFC, with an earlier latency of activity modulation for the OFC and a later one for the LPFC.
Altogether, the complementary approach from behavioral, intracerebral EEG, scalp EEG, and causal lesion data provides compelling evidence for the distinct engagement of the two prefrontal areas in predicting future events and signaling deviations.
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Blenkmann, Alejandro Omar
(2024).
Electrophysiological correlates of auditory regularity expectations and violations at short and long temporal scales: Studies in intracranial EEG and prefrontal cortex lesion patients.
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Blenkmann, Alejandro Omar; Volehaugen, Vegard Akselsson; Rezende Carvalho, Vinicius; Leske, Sabine Liliana; Llorens, Anais & Funderud, Ingrid
[Vis alle 14 forfattere av denne artikkelen]
(2024).
An intracranial EEG study on auditory deviance detection.
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Blenkmann, Alejandro Omar
(2024).
The role of the Orbitofrontal Cortex in building predictions and detecting violations.
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Jensenius, Alexander Refsum & Poutaraud, Joachim
(2023).
Video Visualization.
Vis sammendrag
This workshop is targeted at students and researchers working with video recordings. Even though the workshop will be based on quantitative tools, the aim is to provide solutions for qualitative research. This includes visualization techniques such as motion videos, motion history images, and motiongrams, which, in different ways, allow for looking at video recordings from different temporal and spatial perspectives. It also includes basic computer vision analysis modules, such as extracting quantity and centroid of motion, and using such features in analysis.
The participants will learn to use the Musical Gestures Toolbox for Python, a collection of high-level modules for easily generating all of the above-mentioned visualizations and analyses. This toolbox was initially developed for analyzing music-related body motion but is equally helpful for other disciplines working with video recordings of humans, such as linguistics, psychology, medicine, and educational sciences.
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Lesteberg, Mari & Jensenius, Alexander Refsum
(2022).
MICRO and MACRO - Developing New Accessible Musicking Technologies.
Vis sammendrag
This paper describes the development of two musical instrument prototypes developed to explore how non-haptic music technologies can be accessed from a web browser and how they can offer accessibility for people with low fine motor skills. Two approaches to browser-based motion capture were developed and tested during an iterative design process. This was followed by observational studies of two user groups: one with low fine motor skills and one with normal motor skills. Contrary to our expectations, we found that avoiding the use of buttons and mice did not make the apps more accessible for the participants with low fine motor skills. Furthermore, motion speed was considered more important for people with low motor skills than the size of the control action. The most important finding is that browser-based musical instruments using sensor-based and video-based motion tracking are not only feasible but allow for reaching much larger groups of people than previously possible. This may ultimately lead to both more personalized and accessible musical experiences.
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Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Llorens, Ana?s; Funderud, Ingrid & Collavini, Santiago
[Vis alle 13 forfattere av denne artikkelen]
(2022).
Human brain network involved in auditory deviance detection. An intracranial EEG study.
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Asko, Olgerta; Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Foldal, Maja Dyhre; Llorens, Ana?s & Funderud, Ingrid
[Vis alle 10 forfattere av denne artikkelen]
(2022).
Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex.
Vis sammendrag
In this study, we tested the causal involvement of the OFC in noticing breaches of predictions (i.e., PEs) at different hierarchical levels of task structural complexity. With this aim, we examined the event-related potentials (ERPs) of patients with focal OFC lesions and healthy adults while performing an auditory local-global oddball paradigm. Altogether, we found that after OFC damage, low-level PEs (i.e., processing of stimuli that are unpredicted at the local level) and combined low- and high-level PEs (i.e., processing of stimuli that are unpredicted at both the local and global level) were impacted. However, the processing of standard tones was not affected. We conclude that the OFC may contribute to a top-down process that modulates the deviance detection system in the primary auditory cortices, and may be involved in connecting PEs at lower hierarchical areas with predictions at higher areas. The study sheds new light on the poorly explored deficits of hierarchical auditory prediction in patients with damaged OFC.
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Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, P?l Gunnar; Bekinschtein, Tristan & Kochen, Silvia
[Vis alle 11 forfattere av denne artikkelen]
(2022).
Direct brain recordings reveal continuous encoding of structure in random stimuli.
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Jensenius, Alexander Refsum
(2022).
Erfaringer med ? lage 3xMOOC.
Vis sammendrag
I denne presentasjonen vil jeg presentere hvordan vi gjennom ?rene har utviklet tre komplette nettkurs ved Universitetet i Oslo: Music Moves (2016), Motion Capture (2022) og Pupillometry (2023). Fokuset vil ligge p? muligheter og utfordringer i video i utdanningssammenheng.
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Solbakk, Anne-Kristin; Endestad, Tor & Knight, Robert Thomas
(2022).
Oslo - Berkeley collaboration in cognitive neuroscience and neuropsychology.
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Jensenius, Alexander Refsum; Furmyr, Frida; Poutaraud, Joachim; Widmer, Marcus & Laczko, Balint
(2022).
The Musical Gestures Toolbox for Python.
Vis sammendrag
The Musical Gestures Toolbox for Python is a collection of tools for video visualization and video analysis.
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Masu, Raul; Melbye, Adam Pultz; Sullivan, John & Jensenius, Alexander Refsum
(2021).
NIME Eco Wiki: A Crash Course.
Vis sammendrag
In this workshop, hosted by the three NIME environmental officers, participants will be introduced to the NIME Eco Wiki, a repository for addressing environmental and sustainability issues within the NIME community. During the workshop, the participants will discuss how practices on the communal as well as the individual level may become more sustainable and they will create new additions and ideas for the Wiki.
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Laczko, Balint & Jensenius, Alexander Refsum
(2021).
Reflections on the Development of the Musical Gestures Toolbox for Python.
Vis sammendrag
The paper presents the Musical Gestures Toolbox (MGT) for Python, a collection of modules targeted at researchers working with video recordings. The toolbox includes video visualization techniques such as creating motion videos, motion history images, and motiongrams. These visualizations allow for studying video recordings from different temporal and spatial perspectives. The toolbox also includes basic computer vision methods, and it is designed to integrate well with audio analysis toolboxes. The MGT was initially developed to analyze music-related body motion (of musicians, dancers, and perceivers) but is equally helpful for other disciplines working with video recordings of humans, such as linguistics, pedagogy, psychology, and medicine.
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Jensenius, Alexander Refsum
(2021).
Visibility for researchers on university web pages.
Vis sammendrag
Academics need to be visible online. If you don’t publish and disseminate your research, it won’t have an impact. So it is in our own interest to have up-to-date personal pages with information about what we do. I would argue that it is also in the interest of universities that their employee’s personal pages are up-to-date and look good.
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Masu, Raul; Melbye, Adam Pultz; Sullivan, John & Jensenius, Alexander Refsum
(2021).
NIME and the Environment: Toward a More Sustainable NIME Practice.
Vis sammendrag
This paper addresses environmental issues around NIME research and practice. We discuss the formulation of an environmental statement for the conference as well as the initiation of a NIME Eco Wiki containing information on environmental concerns related to the creation of new musical instruments. We outline a number of these concerns and, by systematically reviewing the proceedings of all previous NIME conferences, identify a general lack of reflection on the environmental impact of the research undertaken. Finally, we propose a framework for addressing the making, testing, using, and disposal of NIMEs in the hope that sustainability may become a central concern to researchers.
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Solbakk, Anne-Kristin; Leske, Sabine Liliana; Lubell, James Isaac; Blenkmann, Alejandro Omar; Llorens, Anais & Funderud, Ingrid
[Vis alle 13 forfattere av denne artikkelen]
(2021).
Auditory prediction and prediction error in self-generated tones.
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Jensenius, Alexander Refsum
(2020).
Video Visualization Strategies at RITMO.
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T?rresen, Jim
(2020).
Interdisciplinary Research Collaboration in Rhythm, Time and Motion.
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T?rresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav
(2019).
Intelligent, Adaptive Robots in Real-World Scenarios.
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T?rresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav
(2019).
Adaptive Robot Body and Control for Real-World Environments.
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Endestad, Tor; Solbakk, Anne-Kristin; Ivanovic, Jugoslav; Larsson, P?l Gunnar; Knight, Robert T. & Blenkmann, Alejandro Omar
(2019).
A robust intracranial electrode localization algorithm.
Vis sammendrag
The accurate localization of electrodes in relationship to the brain’s anatomy is the foundation of the spatial resolution of intracranial EEG recordings. However, in “difficult cases“ the localization needs to be done manually since automatic methods fails, e.g high density arrays up to 3 mm inter-electrode distance, overlapping electrodes, low resolution CT images, or connection cables ovelaying grids. Here, we present a new automatic method that models a flexible array of electrodes and fits it to the artifacts observed in post implantation CT images.
We evaluated data from 18 adult patients with drug resistant epilepsy implanted with depth electrodes and/or subdural grids (18 patients, 3261 electrodes). The automatic method was contrasted against manual localization.
The main processing steps (Fig. 1 A) were:
Thresholding and selection of a cloud of CT voxels containing the electrode artifacts
Assembling a model of the grid (depth) array of electrodes
Fitting the model to a smooth surface (line) approximation of CT artifacts
Fitting the model to the cloud of voxels by minimizing the energy function
E = -Ec + Et + Ed
Ec was the gaussian weighted spatial correlation between the electrodes and the cloud of voxels. Et penalized the translation of electrodes, and Ed the deformation of a spring grid connecting the electrodes.
Automatic localization resulted to be more precise than manual selection, observed as a significant reduction of the inter-electrode distance variance (Fig. 1 B).
We provide a robust method for intracranial electrode localization that is applicable to “difficult cases” were previous automatic methods fail (Fig. 1 C).
The method was implemented in the open-source iElectrodes toolbox and is available to the research community (Blenkmann et al., 2017).
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Spiech, Connor
(2019).
Predicting the Groove: A Combined EEG-Pupillometry Study.
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Spiech, Connor
(2019).
Predicting the Groove: A Combined EEG-Pupillometry Study.
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Nygaard, T?nnes Frostad; Martin, Charles Patrick; T?rresen, Jim & Glette, Kyrre
(2019).
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.
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Nygaard, T?nnes Frostad; Nordmoen, J?rgen Halvorsen; Martin, Charles Patrick; T?rresen, Jim & Glette, Kyrre
(2019).
Lessons Learned from Real-World Experiments with
DyRET: the Dynamic Robot for Embodied Testing.
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Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & T?rresen, Jim
(2019).
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN.
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Leske, Sabine Liliana; Lubell, James; Blenkmann, Alejandro Omar; Llorens, Ana?s; Funderud, Ingrid & Foldal, Maja Dyhre
[Vis alle 13 forfattere av denne artikkelen]
(2019).
Action-based auditory predictions.
Vis sammendrag
Sensory consequences of actions are predicted by the brain via an internal forward model to prepare sensory cortical areas, referred to as motor prediction. In a similar vein, the predictive coding framework suggests that perception is based on internal models making predictions about sensory events, based on statistical probabilities of the stimuli.
In the current study we investigated action-based sensory predictions. We used a self-paced, two-choice random generation task, infrequently inducing deviant outcomes of voluntary action. Participants repeatedly pressed a right and a left button normatively associated with a 70 ms long 1 kHz and 2 kHz tone, respectively. Occasional deviants occurred, inverting the learned button-tone association. Participants were instructed that their button presses should be random, at a regular but self-paced tempo of one press per 1-2 s, and that they should press both buttons with equal probability. They were informed that the tones are task-irrelevant.
We used intracranial EEG (iEEG) data recorded from 10 adult patients with electrodes localized in frontal and temporal lobes. The patients had drug resistant epilepsy and were undergoing presurgical monitoring via implanted stereotactic electrodes. Electrode coordinates and anatomical labels were obtained from coregistered MRI and CT images using iElectrodes toolbox. Initial results indicate that violations of action intentions modulated high frequency band activity (HFA, 75-145 Hz) in distributed brain regions including temporal and prefrontal cortices.
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Leske, Sabine Liliana; Lubell, James Isaac; Blenkmann, Alejandro Omar; Llorens, Ana?s; Funderud, Ingrid & Foldal, Maja Dyhre
[Vis alle 13 forfattere av denne artikkelen]
(2019).
Auditory prediction and prediction error in self-generated tones.
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Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Lubell, James; Leske, Sabine Liliana; Llorens, Ana?s & Funderud, Ingrid
[Vis alle 14 forfattere av denne artikkelen]
(2019).
Human brain network involved in auditory deviance detection: Evidence from intracranial EEG recordings.
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Blenkmann, Alejandro Omar
(2019).
Auditory deviance detection network in the human brain.
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Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Lubell, James; Leske, Sabine Liliana; Llorens, Ana?s & Funderud, Ingrid
[Vis alle 14 forfattere av denne artikkelen]
(2019).
Human brain network involved in auditory deviance detection: Evidence from intracranial EEG recordings.
Vis sammendrag
The neural network underlying human auditory deviance detection is not fully understood. To address this, we recorded intracranial EEG from 22 adult patients with drug resistant epilepsy undergoing presurgical monitoring who had depth electrodes implanted in all brain lobes (1193 channels in total). Patients passively heard a stream of bilaterally presented tones while reading. We used the Optimum-1 paradigm, that consisted of 300 standard tones interleaved with 300 randomly presented deviant tones per block. Patients completed between 3 to 10 blocks. Deviant tones differed from standards in: 1) intensity (louder or softer), 2) frequency (higher or lower), 3) sound source location (right or left), 4) a shorter duration, or 5) a silent gap in the middle of the tone (N??t?nen et al., 2004). Electrode coordinates were obtained from coregistered MRI and CT images using iElectrodes toolbox (Blenkmann et al., 2017). Channels were bipolar referenced and high frequency band activity (HFA) analytic amplitude signal was obtained using the Hilbert transform (75-145 Hz).
Compared to the baseline period, significant HFA responses to tones in general were observed in 31% of the channels.
We used an ANOVA to quantify the HFA response variance across trials that could be explained by the different factors of the stimuli: Intensity, Laterality, Frequency, Duration and Gap. We estimated the amount of explained variance by using ?2 (Siegel et al., 2015). Eighteen % of the channels showed a significant increase of the condition-specific explained variance. Some channels showed condition-specific activations to one particular deviant, while others showed activations to a combination of two or more deviants.
The channels showing responses to tones in general and condition-specific effects were mostly observed bilaterally in temporal cortex. Frontal, anterior cingulate, and parietal cortices were also involved to a lesser extent. Our results, in line with the predictive coding framework, reveal that a distributed brain network is involved in auditory processing and deviance detection.
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Foldal, Maja Dyhre; Blenkmann, Alejandro Omar; Llorens, Ana?s; Knight, Robert Thomas; Solbakk, Anne-Kristin & Endestad, Tor
(2019).
The brain tracks global temporal regularity in auditory patterns.
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Jensenius, Alexander Refsum
(2019).
Sound actions: An embodied approach to a digital organology.
Vis sammendrag
What is an instrument in our increasingly electrified world? In this talk I will present a set of theoretical building blocks from my forthcoming book on "musicking in an electronic world". At the core of the argument is the observation that the introduction of new music technologies has led to an increased separation between action and sound in musical performance. This has happened gradually, with pianos and organs being important early examples of instruments that introduced mechanical components between the performer and resonating objects. Today's network-based instruments represent an extreme case of a spatiotemporal dislocation between action and sound. They challenge our ideas of what an instrument can be, who can perform on them, and how they should be analyzed. In the lecture I will explain how we can use the concepts of action-sound couplings and mappings to structure our thinking about such instruments. This will be used at the heart of a new organology that embraces the qualities of both acoustic and electroacoustic instruments.
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Jensenius, Alexander Refsum
(2019).
Lecture-demo: Music-Related Micromotion.
Vis sammendrag
This presentation will summarize findings from my research into music-related micromotion. This includes the smallest human motion that we can perform and perceive, typically measured at at a scale of millimeters. We have carried out a series of studies of such micromotion, in which people have been asked to try to stand still on the floor, both in silence and with (musical) sound. By measuring their bodily responses with different types of motion tracking and physiological devices we find a number of similarities between people's quantity and quality of motion. This has been the starting point for exploring the use of micromotion in musical practice, what I call 'sonic microinteraction'. This includes standstill performances with interactive sound and light. It also includes several installations with our ensemble of self-playing guitars. These are hybrid instruments, using digital sound-production through acoustically resonating guitars. They are controlled through inverse microinteraction, meaning that you need to focus on standing still to produce any sound. This challenges our traditional understanding of the affordance of musical instruments, and opens for both artistically and scientifically interesting perspectives.
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Jensenius, Alexander Refsum
(2019).
Sound actions: An embodied approach to a digital organology.
Vis sammendrag
What is an instrument in our increasingly electrified world? In this talk I will present a set of theoretical building blocks from my forthcoming book on "musicking in an electronic world". At the core of the argument is the observation that the introduction of new music technologies has led to an increased separation between action and sound in musical performance. This has happened gradually, with pianos and organs being important early examples of instruments that introduced mechanical components between the performer and resonating objects. Today's network-based instruments represent an extreme case of a spatiotemporal dislocation between action and sound. They challenge our ideas of what an instrument can be, who can perform on them, and how they should be analyzed. In the lecture I will explain how we can use the concepts of action-sound couplings and mappings to structure our thinking about such instruments. This will be used at the heart of a new organology that embraces the qualities of both acoustic and electroacoustic instruments.
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Gonzalez Sanchez, Victor Evaristo
(2019).
MICRO: Human Bodily Micromotion in Music Perception and Interaction.
Vis sammendrag
This talk will highlight links between music and human movement, aiming at providing insight into crucial aspects of human perception, cognition, and sensorimotor systems. It will analyze responses to a wide range of music and sound features, exploiting concepts such as the groove, embodied music cognition, and entrainment. Victor will be glad to discuss potential implications of movement-analysis research for embodiment perspectives on technologically enabled conceptual learning.
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Gonzalez Sanchez, Victor Evaristo
(2019).
Characterizing Movement Fluency in Musical Performance.
Vis sammendrag
Virtuosity in music performance is often associated with fast, precise, and efficient sound-producing movements. The generation of such highly skilled movements involves complex joint and muscle control by the central nervous system, and depends on the ability to anticipate, segment, and coarticulate motor elements, all within the biomechanical constraints of the human body. When successful, such motor skill should lead to what we characterize as fluency in musical performance. Detecting typical features of fluency could be very useful for technology-enhanced learning systems, assisting and supporting students during their individual practice sessions by giving feedback and helping them to adopt sustainable movement patterns. In this study, we propose to assess fluency in musical performance as the ability to smoothly and efficiently coordinate while accurately performing slow, transitionary, and rapid movements.
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Gonzalez Sanchez, Victor Evaristo
(2019).
Toward a Generic Measure of Fluency.
Vis sammendrag
Virtuosity in music performance is often associated with fast, precise, and efficient sound-producing movements. The generation of such highly skilled movements involves complex joint and muscle control by the central nervous system, and depends on the ability to anticipate, segment, and coarticulate motor elements, all within the biomechanical constraints of the human body. When successful, such motor skill should lead to what we characterize as fluency in musical performance. Detecting typical features of fluency could be very useful for technology-enhanced learning systems, assisting and supporting students during their individual practice sessions by giving feedback and helping them to adopt sustainable movement patterns. In this study, we propose to assess fluency in musical performance as the ability to smoothly and efficiently coordinate while accurately performing slow, transitionary, and rapid movements.
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T?rresen, Jim & Laeng, Bruno
(2018).
UiO/ROBIN – Toyohashi University of Technology/Japan seminar .
Vis sammendrag
Seminar with collaborators from University of Technology, Japan: Shigeki Nakauchi <https://www.tut.ac.jp/english/schools/faculty/cs/169.html> og Tetsuto Minami <https://www.tut.ac.jp/english/schools/faculty/eiiris/573.html> and their students.
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Vestre, Eskil Olaf; Danielsen, Anne; Jensenius, Alexander Refsum; London, Justin; Schia, Katja Henriksen & Abramczyk, Filip
(2018).
Rytmen er en danser.
[Fagblad].
Ballade.
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Kam, Julia W.Y.; Lin, Jack J.; Solbakk, Anne-Kristin; Endestad, Tor; Larsson, P?l Gunnar & Knight, Robert T.
(2018).
Functional coupling between default network and fronto-parietal control network supports internally directed attention. .
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Jensenius, Alexander Refsum & Zhou, Bo
(2018).
Musical Gestures Toolbox for Matlab.
Vis sammendrag
The Musical Gestures Toolbox (MGT) is a Matlab toolbox for analysing music-related body motion, using sets of audio, video and motion capture data as source material.
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Blenkmann, Alejandro Omar; Lubell, James; Llorens, Anais; Funderud, Ingrid; Collavini, Santiago & Larsson, PG
[Vis alle 13 forfattere av denne artikkelen]
(2018).
Human insula response to auditory deviants: Evidence from intracranial EEG recordings.
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Suzuki, Yuta; Minami, Tetsuto; Laeng, Bruno & Nakauchi, Shigeki
(2018).
The differential effect of glowing appearance in the glare illusion: evidence from pupillometry.
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Sato, Fumiyaki; Laeng, Bruno; Nakauchi, Shigeki & Minami, Tetsuto
(2018).
Pupil dilation reflects "Viewing from above bias" in the effort to control perception.
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Kam, Julia W.Y.; Solbakk, Anne-Kristin; Funderud, Ingrid; Endestad, Tor; Meling, Torstein Ragnar & Knight, Robert Thomas
(2018).
Orbitofrontal damage reduces auditory sensory response in humans.
Cortex.
ISSN 0010-9452.
101,
s. 309–312.
doi:
10.1016/j.cortex.2017.12.023.
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Solbakk, Anne-Kristin; Endestad, Tor & Knight, Robert T.
(2018).
Neural oscillations and human behavior.
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Kam, J.W.Y.; Lin, J.J.; Endestad, Tor; Solbakk, Anne-Kristin; Larsson, P.G. & Griffin, S.
[Vis alle 7 forfattere av denne artikkelen]
(2017).
Contributions of medial prefrontal cortex to internally directed attention.
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Johnson, Elizabeth L.; Dewar, C.; Solbakk, Anne-Kristin; Endestad, Tor; Meling, Torstein Ragnar & Knight, Robert T.
(2017).
Causal evidence that bidirectional frontoparietal rhythms support working memory.
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Slama, S.J.K.; Solbakk, Anne-Kristin; Endestad, Tor; Larsson, P.G.; Lin, Jack J. & King-Stephens, D.
[Vis alle 9 forfattere av denne artikkelen]
(2017).
Intracranial recordings define a cortical-mesial temporal network in top-down and bottom-up attention.
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Sato, Fumiyaki; Laeng, Bruno; Nakauchi, Shigeki & Minami, Tetsuto
(2017).
Pupil dilation during perception of the Necker cube reflects the viewing-from-above bias.
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Johnson, Elizabeth L.; Adams, J.N.; Griffin, S.M.; Solbakk, Anne-Kristin; Endestad, Tor & Larsson, P.G.
[Vis alle 9 forfattere av denne artikkelen]
(2017).
Dynamic frontotemporal systems for episodic working memory.