What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Perception
His main research concerns Artificial intelligence, Optics, Developmental psychology, Psychophysics and Computer vision.
His Artificial intelligence research includes themes of Visual perception and Pattern recognition.
The study incorporates disciplines such as Contrast and Contrast in addition to Optics.
The concepts of his Developmental psychology study are interwoven with issues in Isolation rearing, Genetic model, Reinforcement and Physiology.
His study in Psychophysics is interdisciplinary in nature, drawing from both Algorithm, Statistics and Colour Vision.
The concepts of his Computer vision study are interwoven with issues in Camouflage, Form perception, Communication and Numerosity adaptation effect.
His most cited work include:
- Compulsory averaging of crowded orientation signals in human vision (702 citations)
- On the biological basis of human laterality: I. Evidence for a maturational left–right gradient (376 citations)
- A theory of the primitive spatial code in human vision. (327 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Optics, Computer vision, Psychophysics and Communication.
His Artificial intelligence research is multidisciplinary, incorporating elements of Perception and Pattern recognition.
His Perception study integrates concerns from other disciplines, such as Illusion and Social psychology.
His work in Luminance, Spatial frequency, Vernier acuity, Vernier scale and Spatial filter is related to Optics.
His Psychophysics study frequently links to other fields, such as Statistics.
His Communication research focuses on subjects like Cognitive psychology, which are linked to Stimulus.
He most often published in these fields:
- Artificial intelligence (29.23%)
- Optics (26.46%)
- Computer vision (17.54%)
What were the highlights of his more recent work (between 2009-2021)?
- Artificial intelligence (29.23%)
- Computer vision (17.54%)
- Cognitive psychology (10.46%)
In recent papers he was focusing on the following fields of study:
Michael J. Morgan mostly deals with Artificial intelligence, Computer vision, Cognitive psychology, Eye movement and Pattern recognition.
His Artificial intelligence research includes themes of Spatial frequency, Communication and Numerosity adaptation effect.
His study on Motion is often connected to Aperture synthesis as part of broader study in Computer vision.
His Cognitive psychology study incorporates themes from Stimulus and Response bias.
Michael J. Morgan has included themes like Visual perception and Luminance in his Pattern recognition study.
His work deals with themes such as Social psychology and Psychophysics, which intersect with Illusion.
Between 2009 and 2021, his most popular works were:
- A texture-processing model of the 'visual sense of number' (235 citations)
- A common visual metric for approximate number and density. (167 citations)
- Observers can voluntarily shift their psychometric functions without losing sensitivity. (80 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Perception
Michael J. Morgan mainly focuses on Artificial intelligence, Communication, Illusion, Psychophysics and Cognitive psychology.
His biological study spans a wide range of topics, including Visual perception, Numerosity adaptation effect, Computer vision and Pattern recognition.
The various areas that he examines in his Communication study include Fixation and Attentional modulation.
He interconnects Social psychology and Perception in the investigation of issues within Illusion.
His research integrates issues of Stimulus and Response bias in his study of Cognitive psychology.
His Psychometric function research integrates issues from Vernier scale, Optics, Saccade, Eye movement and Observer.
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