What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Neuroscience
His main research concerns Cognition, Event-related potential, Information processing, Stimulus and Electroencephalography.
Emanuel Donchin works in the field of Cognition, namely P3 latency.
He combines subjects such as Amplitude, Multivariate analysis and Data mining with his study of Event-related potential.
The subject of his Information processing research is within the realm of Cognitive psychology.
His Stimulus study combines topics in areas such as Audiology and Communication.
Emanuel Donchin works mostly in the field of Electroencephalography, limiting it down to topics relating to Artificial intelligence and, in certain cases, Machine learning and Rare events, as a part of the same area of interest.
His most cited work include:
- A new method for off-line removal of ocular artifact. (4160 citations)
- Is the P300 component a manifestation of context updating (2974 citations)
- Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials (2438 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cognitive psychology, Cognition, Stimulus, Event-related potential and Electroencephalography.
His Cognitive psychology research is multidisciplinary, relying on both Developmental psychology, Social psychology and Perception.
His Cognition research integrates issues from Psychophysiology and Information processing.
His Stimulus study integrates concerns from other disciplines, such as Evoked potential, Audiology, Communication and P300 amplitude.
His work in Event-related potential addresses subjects such as Novelty, which are connected to disciplines such as Principal component analysis.
His Electroencephalography study combines topics from a wide range of disciplines, such as Speech recognition, Artificial intelligence and Pattern recognition.
He most often published in these fields:
- Cognitive psychology (33.60%)
- Cognition (22.40%)
- Stimulus (23.60%)
What were the highlights of his more recent work (between 2003-2021)?
- Event-related potential (22.80%)
- Cognitive psychology (33.60%)
- Brain–computer interface (6.40%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Event-related potential, Cognitive psychology, Brain–computer interface, Developmental psychology and Electroencephalography.
His Event-related potential study incorporates themes from Stimulus, Novelty and Communication.
The various areas that he examines in his Cognitive psychology study include Error-related negativity, Social psychology and Brain activity and meditation.
His Brain–computer interface research incorporates elements of Speech recognition and Human–computer interaction.
His Developmental psychology research integrates issues from Anterior cingulate cortex, Cognition and Audiology.
The study incorporates disciplines such as Electrophysiology and Artificial intelligence in addition to Electroencephalography.
Between 2003 and 2021, his most popular works were:
- A P300-based brain-computer interface: initial tests by ALS patients. (613 citations)
- Parsing the late positive complex: Mental chronometry and the ERP components that inhabit the neighborhood of the P300 (256 citations)
- Parsing the late positive complex: Mental chronometry and the ERP components that inhabit the neighborhood of the P300 (256 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Neuroscience
Emanuel Donchin mostly deals with Event-related potential, Cognitive psychology, Cognition, Error-related negativity and Brain–computer interface.
Emanuel Donchin frequently studies issues relating to Stimulus and Event-related potential.
Emanuel Donchin has researched Cognitive psychology in several fields, including Focus and Action.
His study looks at the intersection of Cognition and topics like Novelty with Mental chronometry, Information processing, P3a, Time perception and Communication.
His Error-related negativity research is multidisciplinary, relying on both Feedback related negativity, Context, Neuroimaging and Pattern recognition.
His research integrates issues of Rehabilitation, Speech recognition and Oddball paradigm in his study of Brain–computer interface.
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