What is he best known for?
The fields of study he is best known for:
- Linguistics
- Artificial intelligence
- Cognitive science
His primary areas of investigation include Cognitive science, Linguistics, Artificial intelligence, Cognition and Past tense.
The Cognitive science study combines topics in areas such as Nature versus nurture, Connectionism, Contradiction, Developmental psychology and Cognitive neuroscience.
The study incorporates disciplines such as Verbal learning and Genome in addition to Linguistics.
His Cognition research is multidisciplinary, incorporating elements of Analogy, Communication and Conceptualization.
His Past tense research is multidisciplinary, relying on both Plural and Inflection.
Gary Marcus interconnects Artificial neural network, Constructed language and Natural language processing in the investigation of issues within Language acquisition.
His most cited work include:
- Rule Learning by Seven-Month-Old Infants (855 citations)
- Overregularization in Language Acquisition (578 citations)
- German inflection: The exception that proves the rule (437 citations)
What are the main themes of his work throughout his whole career to date?
Gary Marcus mainly focuses on Cognitive science, Linguistics, Artificial intelligence, Cognition and Language acquisition.
Gary Marcus has researched Cognitive science in several fields, including Cognitive development, Connectionism and Developmental psychology, Flexibility.
His studies link Psycholinguistics with Linguistics.
Artificial intelligence is closely attributed to Natural language processing in his work.
His work carried out in the field of Cognition brings together such families of science as Epistemology and Cognitive psychology.
His Language acquisition study frequently links to related topics such as Verbal learning.
He most often published in these fields:
- Cognitive science (27.10%)
- Linguistics (18.06%)
- Artificial intelligence (15.48%)
What were the highlights of his more recent work (between 2013-2020)?
- Artificial intelligence (15.48%)
- Cognitive science (27.10%)
- Cognition (15.48%)
In recent papers he was focusing on the following fields of study:
Gary Marcus focuses on Artificial intelligence, Cognitive science, Cognition, Speech recognition and Neuroscience.
He regularly links together related areas like Natural language processing in his Artificial intelligence studies.
The various areas that Gary Marcus examines in his Cognitive science study include Associationism, Connectionism, Deep learning, Models of neural computation and Flexibility.
His Deep learning study combines topics in areas such as Field and Enthusiasm.
His research in Cognition intersects with topics in Value, Contrast and Computation.
His study looks at the relationship between Speech recognition and topics such as Sequence learning, which overlap with Syntax, Phonology, Gesture and Syllable.
Between 2013 and 2020, his most popular works were:
- Deep Learning: A Critical Appraisal (342 citations)
- Commonsense reasoning and commonsense knowledge in artificial intelligence (165 citations)
- The atoms of neural computation (59 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Linguistics
- Cognitive science
His primary areas of investigation include Artificial intelligence, Cognitive science, Cognition, Commonsense knowledge and Commonsense reasoning.
Gary Marcus merges Artificial intelligence with Reboot in his study.
Gary Marcus performs integrative study on Cognitive science and Conceptual clarity.
His Cognition study incorporates themes from Simple, Contrast, Natural language understanding and Motor control.
His studies in Commonsense knowledge integrate themes in fields like Human–computer interaction, Model-based reasoning and Deductive reasoning.
His Deep learning research integrates issues from Field and Enthusiasm.
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