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5
Feb
A new study reports for the first time functional interactions among brain rhythms in music perception using a novel, elegant, multiplex-aware approach based on a community detection algorithm.
A new study reports for the first time functional interactions among brain rhythms in music perception using a novel, elegant, multiplex-aware approach based on a community detection algorithm.
We investigated the possibility of using a machine-learning scheme in conjunction with commercial wearable EEG-devices for translating listener’s subjective experience of music into scores that can be used in popular on-demand music streaming services.
The decision about the actual number of active neurons is an open issue in spike sorting, with sparsely firing neurons and background activity the most influencing factors. Dominant-sets clustering algorithm is a graph-theoretical algorithmic procedure that successfully addresses this issue. The quality of grouping in the data is evaluated with the estimation of ‘cohesiveness’, i.e. a cluster-quality measure, for each group.
Applications of clustering algorithms in biomedical research are ubiquitous. However, due to the diversity of cluster analysis, the diversity of critical elements underlying different clustering algorithms can be daunting.
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neuroethics Retinal prosthesis Exoskeleton human to human interface tCS Trajectories CPG Biometrics Plasticity Graph Theory Connectomics modularity multiplexing network neuroscience music neuroscience systems-neuroscience community detection brain networks Conferences music recommendation music perception transcranial direct current stimulation brain to brain interface music TMS Neural coding LFP Sparse neurons Noise Deep Brain Stimulation Computational Neuroscience Wavelets Brain-inspired Computing Neuro-inspired Computing Neuroimaging EEG neuroprosthetics Bionics Machine Learning neural recordings Information Theory Dimensionality Reduction Neural Networks Modelling Clustering Statistical Analysis Neurophysiology Spike Sorting Brain Research Brain Interfaces
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