1,720,974 research outputs found
ABSTRACT DI CONFERENZA INTERNAZIONALE. Colonia (Germania): Environmental Contrasts in Coastal Areas: the Artificial Neural Networks as a Strategic Method of Analysis.
No full textThe FP7 European project Secoa (Solutions for Environmental Contrasts in Coastal Areas) produced an elevated volume of data formalized in different complex matrices. Using statistical methods is now possible to explore the articulated picture of each data set complex world and hypothesize some tendencies useful to compare macroscopically the analogies and the differences between each area. The Artificial Neural Network methods give now the opportunity of creating a bottom-up model of this complexity that can be explored as a virtual hyper-surface of linear an/or non-linear, symmetrical and/or asymmetrical, regular and/or fuzzy relations between variables. The results of these explorations on the virtual hyper-surface can also be organized and displayed in the geographical space using GIS technology and Graph Theory, in other words the results of these explorations will produce a synthetic interpretation of some tendencies related to selected aspects of the so called SECOA human mobility
Are ERPs responses to harmonical changes related to spontaneous rhythm and musical intelligence?
No full textCombination of ICA and Granger’s Causality to extract patterns of brain network connectivity.
No full textMapping temporal expectancies for different rhytmical surfaces: The role of metric structure and phenomenal accents
No full textThis study explores the rules regulating the formation of temporal expectancies when we listen to a rhythmic sequence and extract regularities (or invariant temporal information) projecting them in the near future. Our ability to generate these expectancies is widely dependant on the metric structure suggested by the patterns we entrain to. In Experiment 1, we mapped temporal expectancies evoked by three different repeating patterns in which the phenomenal accents strength was manipulated keeping the metric structure constant in all three patterns. Results of the test tone timing evaluation reveal that expectancy waves are quite short (after the stimulus stops) and very dependent on phenomenal accent strength. In Experiment 2, we used four patterns with different metric structures and lengths: two patterns inducing isochronous meters, and a pattern inducing a Non-Isochronous structure. All the patterns were composed following a rhythm complexity evaluation algorithm. The timing evaluation judgment task after entraining to the patterns was identical to Exp. 1. Results confirm the crucial role of phenomenal accents time position and strength, and show that Isochronous meters generate strong and periodic expectancy waves, while Non-Isochronous meters tend to evoke periodicities of a different level. Our results are consistent with the recent oscillator models of attending. Discussion proposes an interpretation of the results with special attention devoted to the interpretation of N-I meters effects
Learning by interaction: Implementing digital biofeedback interfaces for overtone singing
No full textThe present work proposes a live demonstration of a learning and artistic interactive digital interface, applying the idea of digital biofeedback to a traditional Mongolian singing technique.
The basic aim was to create a visual and acoustical biofeedback which reacts to particular parameters of overtone singing, stimulating the singer’s performance. The feedback provided to the user should also help him to gain control of complex motor
abilities.
The well-established Max/MSP+Jitter (by Cycling ’74) programming environment was used to develop five different patches following a pedagogical path inspired by the ethnomusicologist Tran-Quang-Hai. By means of an online FFT analysis we segmented the resulting frequency spectrum in order to detect the most significant components of the vocal signal. The following stages are included in all the patches: 1. normalization; 2. FFT; 3. segmentation; 4. threshold. Depending on the specific didactical step, other modules are included for extracting the salient features under analysis. Such parameters are sent to the visual environment (Jitter) for the final visual processing related to the visual biofeedback.
The specific Max/MSP+Jitter application to overtone singing gave excellent results because of the integrated sound-visual characteristics of such software environment. With respect to the classical didactical procedures, presentation of the five pedagogical steps to inexpert subjects allowed a rapid learning of the techniques on which this kind of singing is based on.
Every subject was able to find his own specific singing modalities just by observing a suitable graphical representation of the produced vocal sound.
The digital biofeedback applied here to overtone singing can be adapted to develop interactive environments with artistic,
pedagogical, and rehabilitative purposes. The possibility of a cross-modal relationship between user’s input (e.g. acoustic)
and the machine’s output (e.g. visual) can be crucial to applications with disables with sensorial deficits (e.g. speech learning for the deaf)
Developing interactive environments: A digital biofeedback approach to overtone singing performance
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Cooperative behavior of artificial neural agents based on evolutionary architectures.
No full textArtificial agents modeled by evolutionary neural networks have been diffusely described in the specific case of static architectures and synaptic weights coded in genetic strings. At present, more attractive theories devoted to a general theory of mind consider the biological and structural levels as necessary elements for an appropriate natural information processing. In this paper, an evolutionary approach has been taken into account for the selection of neural architectures Of agents embedded in an artificial environment. Several correspondences between natural and artificial neural behavior has been detected (perception, multimodal integration, memory). Moreover, a cooperative social behavior emerged among the agents for a suitable exploration of the environment and the exploitation of the resources
Comparing data-driven to hypothesis-driven techniques for analyzing fMRI data of music perception.
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