The scientist’s investigation covers issues in Neuroscience, Cognition, Cognitive psychology, Perception and Hippocampus. His work on Brain mapping, Neuroimaging and Functional neuroimaging as part of general Neuroscience research is often related to Neurofeedback, thus linking different fields of science. His Cognition research includes themes of Space, Cognitive science and Human brain.
His Cognitive psychology study combines topics from a wide range of disciplines, such as Reconstructive memory, Semantic memory, Episodic memory, Explicit memory and Visual cortex. His Perception research focuses on Visual perception in particular. Nicholas B. Turk-Browne combines subjects such as Hippocampal formation, Structure, Statistical learning and Prefrontal cortex with his study of Hippocampus.
Nicholas B. Turk-Browne mainly focuses on Cognitive psychology, Neuroscience, Perception, Artificial intelligence and Visual cortex. The concepts of his Cognitive psychology study are interwoven with issues in Context, Statistical learning, Long-term memory and Episodic memory. His study in the fields of Hippocampal formation, Stimulus and Brain mapping under the domain of Neuroscience overlaps with other disciplines such as Neurofeedback.
His work is dedicated to discovering how Perception, Cognition are connected with Functional magnetic resonance imaging and other disciplines. His study looks at the relationship between Artificial intelligence and topics such as Pattern recognition, which overlap with Feature. His biological study spans a wide range of topics, including Space, Cognitive neuroscience of visual object recognition and Visual memory.
His scientific interests lie mostly in Neuroscience, Cognitive psychology, Functional magnetic resonance imaging, Artificial intelligence and Perception. He has researched Cognitive psychology in several fields, including Cognitive development, Cognition, Cognitive neuroscience, Episodic memory and Motor skill. Nicholas B. Turk-Browne has included themes like Cluster analysis, Representation, Data set and Noise in his Cognition study.
As a part of the same scientific family, Nicholas B. Turk-Browne mostly works in the field of Episodic memory, focusing on Recall and, on occasion, Reminiscence and Neuroimaging. The various areas that Nicholas B. Turk-Browne examines in his Artificial intelligence study include Text mining, Natural language processing and Pattern recognition. His Perception research includes elements of Stimulus, Sensory system, Sensation, Cognitive science and Visual cortex.
His main research concerns Neuroscience, Statistical learning, Hippocampus, Cognitive psychology and Encoding. The Hippocampal formation, Frontal regions, Anterior cingulate cortex and Fixation research Nicholas B. Turk-Browne does as part of his general Neuroscience study is frequently linked to other disciplines of science, such as Young infants, therefore creating a link between diverse domains of science. His research ties Cognition and Statistical learning together.
Many of his studies on Hippocampus involve topics that are commonly interrelated, such as Pattern recognition. His Cognitive psychology research incorporates themes from Functional magnetic resonance imaging, Neuroimaging, Episodic memory and Elementary cognitive task. Nicholas B. Turk-Browne interconnects Sequence, Cortex and Sequence learning in the investigation of issues within Encoding.
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A taxonomy of external and internal attention.
Marvin M. Chun;Julie D. Golomb;Nicholas B. Turk-Browne.
Annual Review of Psychology (2011)
The Automaticity of Visual Statistical Learning
Nicholas B. Turk-Browne;Justin A. Jungé;Brian J. Scholl.
Journal of Experimental Psychology: General (2005)
Interactions between attention and memory.
Marvin M Chun;Nicholas B Turk-Browne.
Current Opinion in Neurobiology (2007)
Neural evidence of statistical learning: Efficient detection of visual regularities without awareness
Nicholas B. Turk-Browne;Brian J. Scholl;Marvin M. Chun;Marcia K. Johnson.
Journal of Cognitive Neuroscience (2009)
Shaping of Object Representations in the Human Medial Temporal Lobe Based on Temporal Regularities
Anna C. Schapiro;Lauren V. Kustner;Nicholas B. Turk-Browne.
Current Biology (2012)
Implicit Perceptual Anticipation Triggered by Statistical Learning
Nicholas B. Turk-Browne;Brian J. Scholl;Marcia K. Johnson;Marvin M. Chun.
The Journal of Neuroscience (2010)
Neural representations of events arise from temporal community structure
Anna C Schapiro;Timothy T Rogers;Natalia I Cordova;Nicholas B Turk-Browne.
Nature Neuroscience (2013)
Closed-loop training of attention with real-time brain imaging
Megan T. DeBettencourt;Jonathan D. Cohen;Ray F. Lee;Kenneth Andrew Norman.
Nature Neuroscience (2015)
Attention Is Spontaneously Biased Toward Regularities
Jiaying Zhao;Naseem Al-Aidroos;Nicholas B. Turk-Browne.
Psychological Science (2013)
Linking Implicit and Explicit Memory: Common Encoding Factors and Shared Representations
Nicholas B. Turk-Browne;Do Joon Yi;Marvin M. Chun.
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