What is he best known for?
The fields of study he is best known for:
- Epistemology
- Cognition
- Neuroscience
His primary areas of study are Amygdala, Neuroscience, Cognition, Resting state fMRI and Prefrontal cortex.
His research in Amygdala intersects with topics in Functional magnetic resonance imaging, Impulsivity and Borderline personality disorder.
His Neuroscience study frequently intersects with other fields, such as Aggression.
His Cognition research is multidisciplinary, relying on both Cognitive psychology, Facial feedback hypothesis, Simulated reality, Anger and Neuroimaging.
Chandra Sripada combines subjects such as Insula, Default mode network and Attention deficit hyperactivity disorder with his study of Resting state fMRI.
His Prefrontal cortex research incorporates elements of Developmental psychology, Young adult, Anterior cingulate cortex and Stressor.
His most cited work include:
- The functional neuroanatomy of PTSD: a critical review (429 citations)
- Simulationist models of face-based emotion recognition (422 citations)
- Navigating Into the Future or Driven by the Past (338 citations)
What are the main themes of his work throughout his whole career to date?
Chandra Sripada mainly focuses on Cognitive psychology, Cognition, Neuroscience, Resting state fMRI and Epistemology.
His Cognitive psychology research focuses on Experimental philosophy and how it relates to Intentionality and Folk psychology.
His study looks at the relationship between Cognition and fields such as Neuroimaging, as well as how they intersect with chemical problems.
His Amygdala, Functional magnetic resonance imaging, Anterior cingulate cortex and Insula investigations are all subjects of Neuroscience research.
His study explores the link between Amygdala and topics such as Prefrontal cortex that cross with problems in Impulsivity.
His research integrates issues of Connectome, Connectomics, Artificial intelligence, Human Connectome Project and Default mode network in his study of Resting state fMRI.
He most often published in these fields:
- Cognitive psychology (24.78%)
- Cognition (18.58%)
- Neuroscience (17.70%)
What were the highlights of his more recent work (between 2018-2021)?
- Cognitive psychology (24.78%)
- Cognition (18.58%)
- Artificial intelligence (14.16%)
In recent papers he was focusing on the following fields of study:
Cognitive psychology, Cognition, Artificial intelligence, Psychopathology and Neurocognitive are his primary areas of study.
His Cognitive psychology research integrates issues from Mood, Mind-wandering, Default mode network and Elementary cognitive task.
His Cognition research is multidisciplinary, incorporating perspectives in Perception and Mechanism.
In Mechanism, Chandra Sripada works on issues like Stimulant, which are connected to Neuroscience.
The study incorporates disciplines such as Machine learning, Resting state fMRI, Neuroimaging and Pattern recognition in addition to Artificial intelligence.
He interconnects Developmental psychology, Substance use and Risk factor in the investigation of issues within Psychopathology.
Between 2018 and 2021, his most popular works were:
- Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. (121 citations)
- Basic Units of Inter-Individual Variation in Resting State Connectomes. (26 citations)
- Prediction of neurocognition in youth from resting state fMRI. (25 citations)
In his most recent research, the most cited papers focused on:
- Epistemology
- Cognition
- Neuroscience
His primary scientific interests are in Cognition, Artificial intelligence, Cognitive psychology, Resting state fMRI and Cognitive development.
His work deals with themes such as Machine learning, Outcome and Pattern recognition, which intersect with Artificial intelligence.
His work focuses on many connections between Pattern recognition and other disciplines, such as Interpretability, that overlap with his field of interest in Functional magnetic resonance imaging.
His studies deal with areas such as Working memory and Default mode network as well as Cognitive psychology.
Many of his studies on Resting state fMRI involve topics that are commonly interrelated, such as Connectome.
His research investigates the connection between Cognitive development and topics such as Neurocognitive that intersect with issues in Functional neuroimaging.
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