What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Statistics
His primary areas of investigation include Neuroscience, Functional magnetic resonance imaging, Magnetic resonance imaging, Resting state fMRI and Artificial intelligence.
His work blends Neuroscience and Communication noise studies together.
His research in Functional magnetic resonance imaging intersects with topics in Primary motor cortex, Task, Sensory system and Cortex.
His studies deal with areas such as Nuclear magnetic resonance and Perfusion as well as Magnetic resonance imaging.
Peter A. Bandettini has researched Resting state fMRI in several fields, including Nerve net, Connectome and Default mode network.
His Artificial intelligence research integrates issues from Theoretical computer science, Visual Objects, Computer vision and Pattern recognition.
His most cited work include:
- The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? (1802 citations)
- Information-based functional brain mapping (1644 citations)
- Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience (1642 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Artificial intelligence, Functional magnetic resonance imaging, Resting state fMRI and Pattern recognition.
As part of his studies on Neuroscience, Peter A. Bandettini frequently links adjacent subjects like Task.
The study incorporates disciplines such as Machine learning and Computer vision in addition to Artificial intelligence.
His Functional magnetic resonance imaging research is multidisciplinary, incorporating elements of Visual cortex, Stimulus, Sensory system, Magnetic resonance imaging and Nuclear magnetic resonance.
His Resting state fMRI research incorporates themes from Independent component analysis and Brain activity and meditation.
His Brain mapping research is multidisciplinary, incorporating perspectives in Neuroimaging and Default mode network.
He most often published in these fields:
- Neuroscience (40.74%)
- Artificial intelligence (25.19%)
- Functional magnetic resonance imaging (22.96%)
What were the highlights of his more recent work (between 2015-2021)?
- Neuroscience (40.74%)
- Artificial intelligence (25.19%)
- Pattern recognition (14.44%)
In recent papers he was focusing on the following fields of study:
Peter A. Bandettini mainly focuses on Neuroscience, Artificial intelligence, Pattern recognition, Resting state fMRI and Cognition.
The Human brain, Motor cortex, Functional magnetic resonance imaging and Visual cortex research Peter A. Bandettini does as part of his general Neuroscience study is frequently linked to other disciplines of science, such as Layer, therefore creating a link between diverse domains of science.
His Functional magnetic resonance imaging research is multidisciplinary, incorporating elements of Stimulus, Flicker, Sensory system and Computer vision.
His study in the field of Artificial neural network, Inference and Bayesian probability also crosses realms of Brain segmentation.
The Pattern recognition study combines topics in areas such as Voxel, Magnetic resonance imaging and Sensitivity.
His research on Cognition also deals with topics like
- Functional connectivity which is related to area like Cognitive psychology,
- Task which connect with Set and Functional neuroimaging.
Between 2015 and 2021, his most popular works were:
- Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data. (152 citations)
- High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1 (131 citations)
- Task-based dynamic functional connectivity: Recent findings and open questions (125 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Statistics
His primary areas of study are Neuroscience, Artificial intelligence, Task, Functional connectivity and Pattern recognition.
In his research, Peter A. Bandettini undertakes multidisciplinary study on Neuroscience and Layer.
His Artificial intelligence research includes themes of Data mining and Brain mapping.
Peter A. Bandettini interconnects Cognitive psychology, Set and Residual in the investigation of issues within Task.
His Pattern recognition research integrates issues from Resting state fMRI, Repetition Time, Scanner and Sensitivity.
His study focuses on the intersection of Somatosensory system and fields such as Sensory input with connections in the field of Functional magnetic resonance imaging.
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