1980 - Fellow of the American Psychological Association (APA)
1977 - Fellow of the American Association for the Advancement of Science (AAAS)
His main research concerns Perception, Communication, Cognitive neuroscience of visual object recognition, Artificial intelligence and Cognitive psychology. His biological study spans a wide range of topics, including Cued speech, Word recognition, Stroop effect and Information processing. His research integrates issues of Temporal cortex, Psychophysics, Visual cortex and Priming in his study of Communication.
His research in Cognitive neuroscience of visual object recognition intersects with topics in Depth perception, Curvature and Form perception. His Artificial intelligence research is multidisciplinary, relying on both Object perception, Computer vision and Pattern recognition. His Cognitive psychology research integrates issues from Visual perception, Dissociation, Cognition and Iconic memory.
His scientific interests lie mostly in Artificial intelligence, Communication, Pattern recognition, Cognitive neuroscience of visual object recognition and Cognitive psychology. Irving Biederman has included themes like Form perception, Perception and Computer vision in his Artificial intelligence study. His Communication research incorporates elements of Object, Psychophysics, Visual cortex and Priming.
His Pattern recognition research is multidisciplinary, incorporating elements of Metric and Contrast. His work on 3D single-object recognition as part of general Cognitive neuroscience of visual object recognition research is often related to Geon, thus linking different fields of science. He has researched Cognitive psychology in several fields, including Stimulus, Face, Social psychology and Cognition.
His primary areas of study are Artificial intelligence, Pattern recognition, Cognitive psychology, Communication and Perception. His Artificial intelligence research includes elements of Invariant and Computer vision. His research investigates the connection with Pattern recognition and areas like Contrast which intersect with concerns in Fusiform face area.
His study in Communication is interdisciplinary in nature, drawing from both Occipital lobe, Object, Lateral occipital complex and Lateral occipital cortex. His studies deal with areas such as Bold response, Blood-oxygen-level dependent and Functional magnetic resonance imaging as well as Perception. His Cognitive neuroscience of visual object recognition research includes themes of Visual perception, Spatial relation and Fusiform gyrus.
Irving Biederman mainly investigates Cognitive psychology, Communication, Artificial intelligence, Pattern recognition and Perception. His work deals with themes such as Basis, fMRI adaptation, Lateral occipital cortex, Object and Neural activity, which intersect with Communication. In the subject of general Artificial intelligence, his work in Cognitive neuroscience of visual object recognition is often linked to Geon, thereby combining diverse domains of study.
His Cognitive neuroscience of visual object recognition research is classified as research in Computer vision. His Pattern recognition research is multidisciplinary, incorporating perspectives in Receptive field, Face perception, Form perception, Invariant and Rendering. His Perception study combines topics in areas such as Mathematical analysis, Lateral occipital complex, Facial recognition system and Blood-oxygen-level dependent, Functional magnetic resonance imaging.
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Recognition-by-Components: A Theory of Human Image Understanding.
Psychological Review (1987)
Scene Perception" Detecting and Judging Objects Undergoing Relational Violations
Irving Biederman;Robert J. Mezzanotte;Jan C. Rabinowitz.
Cognitive Psychology (1982)
Dynamic binding in a neural network for shape recognition.
John E. Hummel;Irving Biederman.
Psychological Review (1992)
Human image understanding : Recent research and a theory
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1985)
Perceiving Real-World Scenes
Recognizing depth-rotated objects: Evidence and conditions for three-dimensional viewpoint invariance.
Irving Biederman;Peter C. Gerhardstein.
Journal of Experimental Psychology: Human Perception and Performance (1993)
Surface versus Edge-Based Determinants of Visual Recognition.
Irving Biederman;Ginny Ju.
Cognitive Psychology (1988)
On the Semantics of a Glance at a Scene
Sexing day-old chicks: A case study and expert systems analysis of a difficult perceptual-learning task.
Irving Biederman;Margaret M. Shiffrar.
Journal of Experimental Psychology: Learning, Memory and Cognition (1987)
Priming contour-deleted images: evidence for intermediate representations in visual object recognition.
Irving Biederman;Eric E Cooper.
Cognitive Psychology (1991)
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