What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Cognition
Peter Ford Dominey mainly investigates Neuroscience, Artificial neural network, Artificial intelligence, Cognition and Sentence.
His research integrates issues of Neurophysiology and Sequence learning in his study of Artificial neural network.
In most of his Artificial intelligence studies, his work intersects topics such as Context.
His Cognition study frequently intersects with other fields, such as Cognitive psychology.
His Sentence study combines topics from a wide range of disciplines, such as Grammatical construction and Construction grammar.
Peter Ford Dominey combines subjects such as Synapse and Frontal cortex with his study of Natural language processing.
His most cited work include:
- Motor imagery of a lateralized sequential task is asymmetrically slowed in hemi-Parkinson's patients (184 citations)
- A model of corticostriatal plasticity for learning oculomotor associations and sequences (158 citations)
- Neurological basis of language and sequential cognition: evidence from simulation, aphasia, and ERP studies. (143 citations)
What are the main themes of his work throughout his whole career to date?
Peter Ford Dominey spends much of his time researching Artificial intelligence, Context, Cognitive psychology, Neuroscience and Cognition.
His Artificial intelligence study incorporates themes from Human–computer interaction and Natural language processing.
When carried out as part of a general Natural language processing research project, his work on Sentence is frequently linked to work in Structure, therefore connecting diverse disciplines of study.
His study in Cognitive psychology is interdisciplinary in nature, drawing from both Visual perception, Comprehension and Embodied cognition.
His research investigates the link between Neuroscience and topics such as Artificial neural network that cross with problems in Neurophysiology and Sensory system.
His Cognition research incorporates elements of Cognitive science and Communication.
He most often published in these fields:
- Artificial intelligence (48.40%)
- Context (20.21%)
- Cognitive psychology (21.28%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (48.40%)
- Cognitive science (17.02%)
- Cognitive psychology (21.28%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Cognitive science, Cognitive psychology, Reinforcement learning and Reservoir computing.
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Natural language processing.
His Cognitive psychology study combines topics in areas such as Cognition, Social cognition, Comprehension and Embodied cognition.
His Reinforcement learning research focuses on Prefrontal cortex and how it relates to Reinforcement and Flexibility.
His Reservoir computing research is multidisciplinary, incorporating elements of Context, Narrative structure, Place cell and Sequence learning.
His work deals with themes such as Event, Robot, Human–robot interaction and Class, which intersect with Context.
Between 2014 and 2021, his most popular works were:
- Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex. (96 citations)
- Behavioral Regulation and the Modulation of Information Coding in the Lateral Prefrontal and Cingulate Cortex (51 citations)
- Behavioral Regulation and the Modulation of Information Coding in the Lateral Prefrontal and Cingulate Cortex (51 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Neuroscience
His primary areas of study are Artificial intelligence, Context, Cognitive science, Artificial neural network and Cognition.
His Artificial intelligence research focuses on Social robot, Human–robot interaction and Humanoid robot.
His studies examine the connections between Cognitive science and genetics, as well as such issues in Narrative, with regards to Function word, Argument and Grammatical construction.
His studies in Artificial neural network integrate themes in fields like Language production and Event.
The various areas that Peter Ford Dominey examines in his Cognition study include Sentence, Representation, Sensory system and Cortex.
Peter Ford Dominey focuses mostly in the field of Sentence, narrowing it down to topics relating to Embodied cognition and, in certain cases, Cognitive psychology.
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