His scientific interests lie mostly in Cognition, Neuroscience, Perception, Cognitive psychology and Artificial intelligence. His study in Cognition is interdisciplinary in nature, drawing from both Developmental psychology and Auditory perception. In his work, Communication is strongly intertwined with Selective auditory attention, which is a subfield of Auditory perception.
His Perception research is multidisciplinary, incorporating elements of Valence, Arousal, Active listening and Biofeedback. His biological study deals with issues like Functional magnetic resonance imaging, which deal with fields such as Perceptual learning, Sensory input, Working memory and Visual short-term memory. As a part of the same scientific family, Rhodri Cusack mostly works in the field of Artificial intelligence, focusing on Computer vision and, on occasion, Scanner and Statistical power.
His primary areas of study are Cognitive psychology, Artificial intelligence, Cognition, Perception and Neuroscience. His research in Cognitive psychology intersects with topics in Auditory cortex, Stimulus, Visual short-term memory, Visual perception and Neuroimaging. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Functional magnetic resonance imaging, Computer vision and Pattern recognition.
His work deals with themes such as Developmental psychology, Sensory system and Information processing, which intersect with Cognition. His Perception research includes themes of Occipital lobe, Speech recognition and Communication. His Communication research focuses on Visual cortex and how it connects with Voxel.
Rhodri Cusack spends much of his time researching Cognitive psychology, Artificial intelligence, Functional magnetic resonance imaging, Cognition and Pattern recognition. The Cognitive psychology study combines topics in areas such as Perception, Auditory cortex, Stimulus, Consciousness and Neuroimaging. Rhodri Cusack combines subjects such as Superior colliculus, Developmental Science and Computer vision with his study of Artificial intelligence.
His biological study spans a wide range of topics, including Visual cortex, Communication and Motor learning. Rhodri Cusack has included themes like Developmental psychology and Sensory system in his Cognition study. His Pattern recognition study combines topics in areas such as Object, Spatial frequency and Amygdala.
His primary scientific interests are in Functional magnetic resonance imaging, Cognition, Artificial intelligence, Sensory system and Cognitive psychology. The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Physical medicine and rehabilitation, Neonatal intensive care unit and Motor learning. His Cognition study is concerned with Neuroscience in general.
The study incorporates disciplines such as Coding, Visual cortex, Communication and Computer vision in addition to Artificial intelligence. His work carried out in the field of Sensory system brings together such families of science as Gyrification and Brain development. In his research on the topic of Cognitive psychology, Preference, Eye tracking and Speech perception is strongly related with Developmental psychology.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Listening to Your Heart How Interoception Shapes Emotion Experience and Intuitive Decision Making
Barnaby D. Dunn;Hannah C. Galton;Ruth Morgan;Davy Evans.
Psychological Science (2010)
Effects of attention and unilateral neglect on auditory stream segregation.
Robert P. Carlyon;Rhodri Cusack;Jessica M. Foxton;Ian H. Robertson.
Journal of Experimental Psychology: Human Perception and Performance (2001)
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing
Meredith A Shafto;Lorraine K Tyler;Marie Dixon;Jason R Taylor;Jason R Taylor.
BMC Neurology (2014)
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample.
Jason R. Taylor;Nitin Williams;Rhodri Cusack;Tibor Auer.
NeuroImage (2017)
Effects of Location, Frequency Region, and Time Course of Selective Attention on Auditory Scene Analysis
Rhodri Cusack;John Deeks;Genevieve Aikman;Robert P Carlyon.
Journal of Experimental Psychology: Human Perception and Performance (2004)
Top-Down Activation of Shape-Specific Population Codes in Visual Cortex during Mental Imagery
Mark Stokes;Russell Thompson;Rhodri Cusack;John Duncan.
The Journal of Neuroscience (2009)
New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images.
Rhodri Cusack;N. Papadakis.
NeuroImage (2002)
Improved noise-immune phase-unwrapping algorithm.
R. Cusack;J. M. Huntley;H. T. Goldrein.
Applied Optics (1995)
Using the talairach atlas with the MNI template
Matthew Brett;Kalina Christoff;Rhodri Cusack;Jack Lancaster.
NeuroImage (2001)
Attentional Functions of Parietal and Frontal Cortex
Polly V. Peers;Casimir J.H. Ludwig;Chris Rorden;Rhodri Cusack.
Cerebral Cortex (2005)
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