What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Software
Brendan Z. Allison mainly focuses on Brain–computer interface, Electroencephalography, Human–computer interaction, Speech recognition and Artificial intelligence.
His work in the fields of Brain–computer interface, such as Motor imagery, overlaps with other areas such as Matrix.
His study in the field of Event-related potential also crosses realms of Signal processing and Asynchronous communication.
The study incorporates disciplines such as Affect, Wheelchair, Taxonomy, Brain waves and Natural language in addition to Human–computer interaction.
His Speech recognition research is multidisciplinary, relying on both Eeg patterns, Steady state and Hand orthosis.
His biological study deals with issues like Pattern recognition, which deal with fields such as Data recording and Eeg recording.
His most cited work include:
- The Hybrid BCI (499 citations)
- Brain–computer interface systems: progress and prospects (294 citations)
- Towards an independent brain–computer interface using steady state visual evoked potentials (271 citations)
What are the main themes of his work throughout his whole career to date?
Brendan Z. Allison focuses on Brain–computer interface, Human–computer interaction, Electroencephalography, Speech recognition and Motor imagery.
With his scientific publications, his incorporates both Brain–computer interface and Task.
His work on Usability as part of general Human–computer interaction study is frequently linked to Software, Signal processing and User group, bridging the gap between disciplines.
His research investigates the connection between Electroencephalography and topics such as Consciousness that intersect with problems in Wakefulness.
Brendan Z. Allison has included themes like Hybrid approach, Event-related potential, Stimulus, Visual perception and Steady state in his Speech recognition study.
His Motor imagery study combines topics from a wide range of disciplines, such as Disorders of consciousness and Simulation.
He most often published in these fields:
- Brain–computer interface (88.72%)
- Human–computer interaction (36.84%)
- Electroencephalography (27.82%)
What were the highlights of his more recent work (between 2016-2021)?
- Brain–computer interface (88.72%)
- Physical medicine and rehabilitation (15.04%)
- Electroencephalography (27.82%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Brain–computer interface, Physical medicine and rehabilitation, Electroencephalography, Motor imagery and Audiology.
His Brain–computer interface study integrates concerns from other disciplines, such as Consciousness, Disorders of consciousness, Cognition, Human–computer interaction and Brain activity and meditation.
The study incorporates disciplines such as Multimedia and Immersion in addition to Human–computer interaction.
His study in Physical medicine and rehabilitation is interdisciplinary in nature, drawing from both Rehabilitation, Post stroke rehabilitation and Motor rehabilitation.
His work on Eeg data as part of general Electroencephalography research is often related to Correlation, thus linking different fields of science.
His Motor imagery research incorporates themes from Cognitive psychology and Simulation.
Between 2016 and 2021, his most popular works were:
- Complete locked-in and locked-in patients: Command following assessment and communication with vibro-tactile P300 and motor imagery brain-computer interface tools (48 citations)
- Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement (39 citations)
- Reaching and Grasping a Glass of Water by Locked-In ALS Patients through a BCI-Controlled Humanoid Robot. (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
Brendan Z. Allison focuses on Brain–computer interface, Electroencephalography, Motor imagery, Physical medicine and rehabilitation and Audiology.
His Brain–computer interface study incorporates themes from Robotics, Brain activity and meditation and Cognition.
His Cognition research includes themes of Wakefulness, Disorders of consciousness, Level of consciousness and Task.
His Eeg data study, which is part of a larger body of work in Electroencephalography, is frequently linked to In patient, bridging the gap between disciplines.
His work on Proprioception as part of general Physical medicine and rehabilitation research is frequently linked to Functional electrical stimulation and Middle finger, thereby connecting diverse disciplines of science.
His studies in Biofeedback integrate themes in fields like Humanoid robot and Artificial intelligence.
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