What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Artificial neural network
His primary areas of investigation include Artificial intelligence, Computer vision, Illusory contours, Visual cortex and Optics.
His studies in Artificial intelligence integrate themes in fields like Perception, Communication and Pattern recognition.
His studies deal with areas such as Brightness and Surface as well as Computer vision.
He has researched Illusory contours in several fields, including Visual processing and Neon color spreading.
Ennio Mingolla combines subjects such as Psychophysics and Form perception with his study of Visual cortex.
His Optics research integrates issues from Motion perception, Orientation and Line.
His most cited work include:
- Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading. (952 citations)
- Neural dynamics of perceptual grouping: textures, boundaries, and emergent segmentations. (738 citations)
- A Neural Theory of Attentive Visual Search: Interactions of Boundary, Surface, Spatial, and Object Representations (206 citations)
What are the main themes of his work throughout his whole career to date?
Ennio Mingolla mostly deals with Artificial intelligence, Computer vision, Optics, Perception and Artificial neural network.
His Artificial intelligence study integrates concerns from other disciplines, such as Communication and Pattern recognition.
His Communication research focuses on Visual cortex and how it relates to Illusory contours and Form perception.
His study in Computer vision is interdisciplinary in nature, drawing from both Brightness, Visual perception and Eye movement.
Ennio Mingolla works mostly in the field of Brightness, limiting it down to topics relating to Contrast and, in certain cases, Neon color spreading.
Many of his research projects under Perception are closely connected to Gloss with Gloss, tying the diverse disciplines of science together.
He most often published in these fields:
- Artificial intelligence (62.07%)
- Computer vision (48.28%)
- Optics (19.31%)
What were the highlights of his more recent work (between 2009-2017)?
- Artificial intelligence (62.07%)
- Computer vision (48.28%)
- Optics (19.31%)
In recent papers he was focusing on the following fields of study:
Ennio Mingolla focuses on Artificial intelligence, Computer vision, Optics, Motion and Cognitive psychology.
His work in the fields of Computer vision, such as Segmentation, overlaps with other areas such as Heading.
His Optics study incorporates themes from Figure–ground and Visual cortex.
His Visual cortex research is multidisciplinary, incorporating elements of Stimulus, Motion detection and Constant of motion.
His study in the field of Object motion is also linked to topics like Open peer review.
Within one scientific family, Ennio Mingolla focuses on topics pertaining to Spatial ability under Cognitive psychology, and may sometimes address concerns connected to Visual perception.
Between 2009 and 2017, his most popular works were:
- From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain (82 citations)
- Neural dynamics of object-based multifocal visual spatial attention and priming: object cueing, useful-field-of-view, and crowding. (39 citations)
- A motion pooling model of visually guided navigation explains human behavior in the presence of independently moving objects. (28 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Artificial neural network
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Cognitive psychology, Illusion and Grating.
In his work, Ennio Mingolla performs multidisciplinary research in Artificial intelligence and Adaptive behavior.
His Computer vision research incorporates elements of Robustness and Eye movement.
Ennio Mingolla works mostly in the field of Cognitive psychology, limiting it down to topics relating to Spatial ability and, in certain cases, Visual perception, as a part of the same area of interest.
His Illusion research incorporates themes from Speech recognition and Cognitive science.
His Grating study combines topics from a wide range of disciplines, such as Curvature, Perpendicular, Machine vision and Optical illusion.
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