What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Programming language
His primary areas of investigation include Cognitive science, Neuroscience, Mirror neuron, Artificial neural network and Artificial intelligence.
The various areas that Michael A. Arbib examines in his Cognitive science study include Control, Neurolinguistics, Perception and Cognition, Connectionism.
The Neuroscience study which covers Premotor cortex that intersects with Motor control.
His research integrates issues of Imitation and Communication in his study of Mirror neuron.
His Artificial neural network research includes themes of Associative learning, Affordance and Motor learning.
His Artificial intelligence research is multidisciplinary, incorporating elements of Neurophysiology and Biological neural network.
His most cited work include:
- The Handbook of Brain Theory and Neural Networks (2854 citations)
- Language within our grasp (2289 citations)
- Introduction to formal language theory (1270 citations)
What are the main themes of his work throughout his whole career to date?
Michael A. Arbib focuses on Cognitive science, Artificial intelligence, Neuroscience, Artificial neural network and Mirror neuron.
His Cognitive science study incorporates themes from Neurolinguistics, Perception, Communication, Action and Perspective.
His research in Artificial intelligence intersects with topics in Schema, Machine learning and Computer vision.
In general Neuroscience study, his work on Cerebellum, Saccade, Stimulus and Neurophysiology often relates to the realm of Tectum, thereby connecting several areas of interest.
He interconnects Imitation and Gesture in the investigation of issues within Mirror neuron.
He most often published in these fields:
- Cognitive science (26.70%)
- Artificial intelligence (25.16%)
- Neuroscience (15.75%)
What were the highlights of his more recent work (between 2010-2021)?
- Cognitive science (26.70%)
- Mirror neuron (12.04%)
- Gesture (5.25%)
In recent papers he was focusing on the following fields of study:
Michael A. Arbib mostly deals with Cognitive science, Mirror neuron, Gesture, Neuroscience and Artificial intelligence.
His Cognitive science research includes elements of Construction grammar, Perception, Action, Perspective and Sociocultural evolution.
His studies in Perception integrate themes in fields like Communication, Motor control, Feed forward, Cybernetics and Human brain.
His Mirror neuron research includes elements of Comprehension, Optics, Macaque, Imitation and Homo sapiens.
His Gesture study also includes
- Ritualization which connect with Mechanism, Dyad and Variation,
- Speech recognition that intertwine with fields like Motor theory of speech perception and Interpersonal communication,
- Representation, which have a strong connection to First language, Relevance, Psychological research and Set.
The various areas that he examines in his Artificial intelligence study include Chaining and Machine learning.
Between 2010 and 2021, his most popular works were:
- How the Brain Got Language: The Mirror System Hypothesis (132 citations)
- Mirror neurons: functions, mechanisms and models. (79 citations)
- How to Bootstrap a Human Communication System. (68 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Programming language
Michael A. Arbib mainly investigates Cognitive science, Mirror neuron, Gesture, Imitation and Action.
His study in Cognitive science is interdisciplinary in nature, drawing from both Perception, Embodied cognition, Argument, Sociocultural evolution and Performance art.
His Perception research is multidisciplinary, incorporating elements of Perspective, Motor control, Feed forward, Cybernetics and Control theory.
His Mirror neuron research integrates issues from Homo sapiens and Macaque.
Michael A. Arbib combines subjects such as Cognitive psychology and Praxis with his study of Imitation.
His Tics study in the realm of Neuroscience connects with subjects such as Basal.
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