Research Interests:
- Signal/Image Processing
- Functional Magnetic Resonance Imaging
- Machine Learning
- Multimodal Data Fusion
- Neuroscience and Neuroimaging
Keywords/Tags:
- Functional magnetic resonance imaging
- Signal and image processing
- Artificial intelligence
- Machine learning
- Data mining and fusion
- Pattern recognition
- Knowledge discovery
- Computational neuroscience.
Research Interests:
- Methodological
- Signal and Image Processing
- Functional Magnetic Resonance Imaging (fMRI)
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Research Interests:
- Signal/Image Processing
- Functional Magnetic Resonance Imaging
- Machine Learning
- Multimodal Data Fusion
- Neuroscience and Neuroimaging
Keywords/Tags:
- Functional magnetic resonance imaging
- Signal and image processing
- Artificial intelligence
- Machine learning
- Data mining and fusion
- Pattern recognition
- Knowledge discovery
- Computational neuroscience.
Research Interests:
- Methodological
- Signal and Image Processing
- Functional Magnetic Resonance Imaging (fMRI)
- Multimodal Imaging and Data Fusion (e.g. Electroencephalography (EEG) and fMRI)
- Network Modeling of Brain Function (Autoregressive, Bayesian, Wavelet and State-space models)
- Real-time Brain State Classification using Machine Learning
- Nonlinear Dynamics and Chaos in Biomedical Systems
- Applications
- Sensory, Motor and Cognitive Neuroscience
- Social and Affective Neuroscience
- Consciousness
- Complementary Medicine, specifically Meditation
- Clinical Populations such as Autism, Alzheimer’s, Developmental Psychopathologies, PTSD
- Neuroeconomics and Neuromarketing
- fMRI in awake dogs.
Research interests: functional MRI, combined EEG/MRI, functional connectivity, cognitive neuroscience
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