Joshua W. Brown focuses on Cognition, Neuroscience, Anterior cingulate cortex, Cognitive psychology and Prefrontal cortex. His work focuses on many connections between Cognition and other disciplines, such as Error detection and correction, that overlap with his field of interest in Medial wall and Reinforcement learning. His study in the field of Dopamine, Dopaminergic and Saccade is also linked to topics like Basal ganglia.
His Anterior cingulate cortex research includes elements of Risk aversion, Visual perception, Frontal lobe and Neuroimaging. His study in Cognitive psychology is interdisciplinary in nature, drawing from both Artificial neural network, Backward inhibition, Task switching and Facilitation. His Prefrontal cortex research incorporates elements of Working memory and Neurophysiology.
The scientist’s investigation covers issues in Cognitive psychology, Prefrontal cortex, Cognition, Anterior cingulate cortex and Neuroscience. His biological study spans a wide range of topics, including Counterfactual thinking, Social psychology, Outcome and Neuroimaging. His work carried out in the field of Prefrontal cortex brings together such families of science as Working memory, Neurophysiology, Functional magnetic resonance imaging and Neural activity.
The various areas that Joshua W. Brown examines in his Cognition study include Control, Artificial intelligence and Reinforcement learning. His Error-related negativity study in the realm of Anterior cingulate cortex connects with subjects such as Cingulate cortex. In the field of Neuroscience, his study on Saccade, Macaque, Frontal cortex and Frontal lobe overlaps with subjects such as Basal ganglia.
His primary areas of study are Cognitive psychology, Anterior cingulate cortex, Speech recognition, Stop signal and Prefrontal cortex. His studies deal with areas such as Cognition, Regret, Facial expression and Pleasure as well as Cognitive psychology. His work deals with themes such as Disappointment and Empirical research, which intersect with Regret.
Joshua W. Brown incorporates Anterior cingulate cortex and Important research in his research. His Speech recognition research is multidisciplinary, incorporating perspectives in Recurrent neural network, State, Object, Orientation and Two-streams hypothesis. His research integrates issues of Neuroimaging, Addiction and Nicotine in his study of Prefrontal cortex.
Joshua W. Brown mostly deals with Stop signal, Speech recognition, Intercessory prayer, Pyloromyotomy and Vomiting. His Stop signal investigation overlaps with other areas such as Derailment, Impulsivity, Job design, Human–computer interaction and Point. Stomach, Gastrostomy tube, Feeding jejunostomy, Surgery and Gastroparesis are fields of study that intersect with his Intercessory prayer research.
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.
Learned Predictions of Error Likelihood in the Anterior Cingulate Cortex
Joshua W. Brown;Todd S. Braver.
Medial prefrontal cortex as an action-outcome predictor
William H Alexander;Joshua W Brown.
Nature Neuroscience (2011)
Performance Monitoring by the Anterior Cingulate Cortex During Saccade Countermanding
Shigehiko Ito;Veit Stuphorn;Joshua W. Brown;Jeffrey D. Schall.
Computational perspectives on dopamine function in prefrontal cortex.
Jonathan D Cohen;Todd S Braver;Joshua W Brown.
Current Opinion in Neurobiology (2002)
A Meta-analysis of Executive Components of Working Memory
Derek Evan Nee;Joshua W. Brown;Mary K. Askren;Mary K. Askren;Marc G. Berman.
Cerebral Cortex (2013)
HOW THE BASAL GANGLIA USE PARALLEL EXCITATORY AND INHIBITORY LEARNING PATHWAYS TO SELECTIVELY RESPOND TO UNEXPECTED REWARDING CUES
Joshua Brown;Daniel Bullock;Stephen Grossberg.
The Journal of Neuroscience (1999)
Monitoring and Control of Action by the Frontal Lobes
Jeffrey D. Schall;Veit Stuphorn;Joshua W. Brown.
How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades
Joshua W. Brown;Daniel Bullock;Stephen Grossberg.
Neural Networks (2004)
A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task
Frederick Verbruggen;Adam R. Aron;Guido Ph Band;Christian Beste.
A computational model of fractionated conflict-control mechanisms in task-switching.
Joshua W. Brown;Jeremy R. Reynolds;Todd S. Braver.
Cognitive Psychology (2007)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: