Gary Marcus
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American psycholinguist
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Gary Marcuscomputer-science Degrees
Computer Science
#78
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#83
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Artificial Intelligence
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#15
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Information Systems
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#26
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Gary Marcuspsychology Degrees
Psychology
#284
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#405
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#191
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Psycholinguistics
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#26
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#9
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Cognitive Science
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#29
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#14
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Cognitive Psychology
#32
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#33
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#17
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Computer Science Psychology
Why Is Gary Marcus Influential?
(Suggest an Edit or Addition)According to Wikipedia, Gary Fred Marcus is an American psychologist, cognitive scientist, and author, known for his research on the intersection of cognitive psychology, neuroscience, and artificial intelligence . Marcus is professor emeritus of psychology and neural science at New York University. In 2014 Marcus founded Geometric Intelligence, a machine learning company later acquired by Uber.
Gary Marcus's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Rule learning by seven-month-old infants. (1999) (1119)
- Overregularization in language acquisition. (1992) (845)
- Deep Learning: A Critical Appraisal (2018) (824)
- German Inflection: The Exception That Proves the Rule (1995) (582)
- The Algebraic Mind: Integrating Connectionism and Cognitive Science (2001) (542)
- Negative evidence in language acquisition (1993) (401)
- Commonsense reasoning and commonsense knowledge in artificial intelligence (2015) (356)
- Rethinking Eliminative Connectionism (1998) (323)
- The eloquent ape: genes, brains and the evolution of language (2006) (320)
- FOXP2 in focus: what can genes tell us about speech and language? (2003) (231)
- Regular and irregular inflection in the acquisition of German noun plurals (1992) (226)
- Infant Rule Learning Facilitated by Speech (2007) (213)
- The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (2020) (209)
- Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants (2013) (180)
- The topographic brain: from neural connectivity to cognition (2007) (139)
- How Robust Are Probabilistic Models of Higher-Level Cognition? (2013) (128)
- The Birth of the Mind (2003) (120)
- Abstract Rule Learning for Visual Sequences in 8- and 11-Month-Olds. (2009) (112)
- Can connectionism save constructivism? (1998) (111)
- Information from multiple modalities helps 5-month-olds learn abstract rules. (2009) (100)
- Children's overregularization of English plurals: a quantitative analysis (1995) (97)
- The Birth of the Mind: How a Tiny Number of Genes Creates The Complexities of Human Thought (2004) (94)
- Sensitivity of children's inflection to grammatical structure (1994) (91)
- Kluge: The Haphazard Construction of the Human Mind (2008) (82)
- Cognitive architecture and descent with modification (2006) (76)
- The atoms of neural computation (2014) (70)
- The acquisition of the English past tense in children and multilayered connectionist networks (1995) (68)
- From semantics to syntax and back again: Argument structure in the third year of life (2006) (67)
- Rule learning by cotton-top tamarins. (2002) (66)
- The scope of linguistic generalizations: evidence from Hebrew word formation (2002) (66)
- Kluge : the haphazard evolution of the human mind (2009) (63)
- The neural processing of hierarchical structure in music and speech at different timescales (2015) (61)
- Innateness, AlphaZero, and Artificial Intelligence (2018) (57)
- Rule Learning by Seven-Month-Old Infants and Neural Networks (1999) (52)
- Compounding and inflection in German child language (1996) (50)
- The scope and limits of simulation in automated reasoning (2016) (49)
- Does Broca's play by the rules? (2003) (48)
- RETRACTED: Rule learning by cotton-top tamarins (2002) (47)
- Why Do Children Say “Breaked”? (1996) (45)
- Songbirds work around computational complexity by learning song vocabulary independently of sequence (2017) (41)
- Roots, stems, and the universality of lexical representations: Evidence from Hebrew (2007) (39)
- Connectionism: with or without rules? Response to J.L. McClelland and D.C. Plaut (1999) (1999) (39)
- Plasticity and Nativism: Towards a Resolution of an Apparent Paradox (2001) (35)
- How Does the Mind Work? Insights from Biology (2009) (34)
- Vocal learning beyond imitation: mechanisms of adaptive vocal development in songbirds and human infants (2014) (33)
- On the Role of Variables in Phonology: Remarks on Hayes and Wilson 2008 (2012) (33)
- What developmental disorders can tell us about the nature and origins of language (2006) (30)
- A Review of Winograd Schema Challenge Datasets and Approaches (2020) (30)
- Shifting senses in lexical semantic development (2010) (28)
- Language acquisition in the absence of explicit negative evidence: can simple recurrent networks obviate the need for domain-specific learning devices? (1999) (28)
- Acquiring German noun plurals (1995) (28)
- Infant Rule Learning: Advantage Language, or Advantage Speech? (2012) (27)
- Language: Startling starlings (2006) (26)
- Top-down influence in young children's linguistic ambiguity resolution. (2013) (24)
- The future of the brain : essays by the world's leading neuroscientists (2015) (23)
- Commonsense reasoning about containers using radically incomplete information (2017) (23)
- Lessons from the Genome (2014) (23)
- Are There Limits to Statistical Learning? (2003) (23)
- Musicality: Instinct or Acquired Skill? (2012) (23)
- Children's overregularization and its implications for cognition (2000) (22)
- The Scope and Limits of Simulation in Cognitive Models (2015) (20)
- Rules, Radical Pragmatics and Restrictions on Regular Polysemy (2011) (20)
- Reply to Seidenberg and Elman (1999) (18)
- Still Searching for Principles (2015) (17)
- Reply to Christiansen and Curtin (1999) (16)
- What can individual differences tell us about the specialization of function? (2011) (16)
- Beyond the Turing Test (2016) (16)
- Temporal dynamics and the identification of musical key. (2013) (16)
- The Cambridge Handbook of Biolinguistics (2013) (15)
- Pabiku and Ga Ti Ga (2000) (15)
- Evolution, Perfection, and Theories of Language (2009) (15)
- Deep learning: A revolution in artificial intelligence (2012) (14)
- Before the word (2004) (13)
- Genes and domain specificity (2006) (13)
- Insights for AI from the human mind (2020) (13)
- Poverty of the stimulus arguments (1999) (12)
- Guitar Zero: The New Musician and the Science of Learning (2012) (9)
- Making the mind (2006) (9)
- Guitar zero : the science of becoming musical at any age (2012) (9)
- The Connectome As A DNA Sequencing Problem (2014) (8)
- Concepts, correlations, and some challenges for connectionist cognition (2008) (8)
- What's in a U? The Shapes of Cognitive Development (2004) (7)
- The Role of Association in Early Word-Learning (2012) (7)
- The roles of item repetition and position in infants' abstract rule learning. (2018) (6)
- Toward a Comprehension Challenge, Using Crowdsourcing as a Tool (2016) (6)
- Neither size fits all: comment on McClelland et al. and Griffiths et al. (2010) (6)
- Language acquisition, domain specificity, and descent with modification (2008) (6)
- NeuroGene: integrated simulation of gene regulation, neural activity and neurodevelopment (2005) (6)
- Lessons from Evolution (2014) (6)
- Decoding time for the identification of musical key (2015) (6)
- The web gets smarter (2012) (6)
- Genes and language (2011) (5)
- Children's inflection is sensitive to morphological structure (1991) (5)
- The Scope and Limits of Simulation in Cognition and Automated Reasoning (2014) (5)
- Neuroscience in 2064: A Look at the Last Century (2014) (5)
- What Developmental Biology Can Tell Us about Innateness (2005) (4)
- Morphology and mind: A unified approach to explanation in linguistics . Christopher J. Hall. New York: Routledge, 1992. Pp. xx + 224. (1993) (4)
- Computational limits don't fully explain human cognitive limitations (2020) (4)
- The Computational Brain (2014) (4)
- Infant Pathways to Language: Methods, Models and Research Directions (2008) (4)
- Behold the talking chimp (2004) (3)
- Programs of the Mind (2004) (3)
- Maths is the true language of science (2013) (3)
- L2 learners treat regular and irregular inflection differently in compounding (1995) (3)
- Frequently Asked Questions for: The Atoms of Neural Computation (2014) (3)
- Building Atlases Of The Brain (2014) (3)
- Recording from Many Neurons Simultaneously: From Measurement to Meaning (2014) (3)
- Generalizing argument structure in the third year of life (2005) (3)
- Ray Kurzweil's dubious new theory of mind (2012) (3)
- Cracking the brain's codes (2014) (3)
- The Neurobiology of Language (2014) (3)
- The effect of structure and rate variation on key-finding (2010) (2)
- Am I Human? (2017) (2)
- Review of Exercises in Rethinking Innateness (1997) (2)
- Something old, something new (2004) (2)
- Causal generative models are just a start (2017) (2)
- Understanding The Cortex Through Grid Cells (2014) (2)
- Running Head : Shifting senses in lexical semantic development Shifting senses in lexical semantic development (2010) (2)
- How the Brain Develops (2007) (2)
- Building a Behaving Brain (2014) (2)
- A grand unified theory of everything (2013) (2)
- What Nate Silver gets wrong : Review of The Noise and the Signal by Nate Silver (2013) (2)
- Neural Dust: An Untethered Approach to Chronic Brain-Machine Interfaces (2014) (2)
- Genes, proteins and domain-specificity (1999) (2)
- Do we really need to learn to code (2014) (2)
- Op Ed: Eight (no, nine) things wrong with big data (2014) (1)
- The Norton psychology reader (2006) (1)
- What can developmental disorders tell us about modularity? (2002) (1)
- Language evolution: evolutionary vestiges may provide clues to the ultimate origins of human language. (2004) (1)
- Opposites detract: Why rules and similarity should not be viewed as opposite ends of a continuum (2005) (1)
- The Cambridge Handbook of Biolinguistics: Modularity and descent-with-modification (2013) (1)
- Variation and Universals in Biolinguistics. North-Holland Linguistic Series: Linguistic Variations, Vol. 62, Lyle Jenkins (Ed.). Elsevier (2004) (2008) (1)
- Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity (2006) (1)
- Large-Scale Neuroscience: From Analytics to Insight (2014) (1)
- The Miswired Brain, Genes, and Mental Illness (2014) (1)
- The roles of item repetition and position in infant sequence learning (2017) (1)
- The modules behind the learning (2002) (1)
- Why making robots is so darn hard (2012) (1)
- Happy birthday, Noam Chomsky (2012) (1)
- Whole Brain Neuroimaging and Virtual Reality (2014) (1)
- Guitar Zero: The Science of Learning to be Musical (2012) (1)
- Editor's introduction to Best Of. (2009) (1)
- Proceedings of the 2015th International Conference on Cognitive Computation: Integrating Neural and Symbolic Approaches - Volume 1583 (2015) (1)
- Two kinds of representations (2000) (1)
- Reports on the 2015 AAAI workshop series (2015) (1)
- Spoken Language Comprehension: An Experimental Approach to Disordered and Normal Processing By LORRAINE KOMISARJEVSKY TYLER. Cambridge, MA.: MIT Press, 1992. Pp. xiv + 292. (1994) (0)
- Debates on Artificial Intelligence (2020) (0)
- Book Reviews (2002) (0)
- The Evolution of Mind; : Edited by Denise D. Cummins and Colin Allen, New York: Oxford University Press, 1998, vii + 264 pages, ISBN:0-19-511053-6, $35.00 (US) (2000) (0)
- Rule-learning: Advantage Language, or Advantage Speech? (2006) (0)
- Language as Kluge (2008) (0)
- Review of The Great Brain Debate: Nature or Nurture by J. Dowling (2007) (0)
- Held in reserve: An interview with Gill Marcus (2015) (0)
- Neural reuse and human individual differences (2010) (0)
- Whole Brain Simulation (2014) (0)
- PDP and Symbol Manipulation (2014) (0)
- Corrigendum (1999) (0)
- Analysis of the development of phonetic syntax in infant babbling (2013) (0)
- Extracting higher-level relationships in connectionist models (1997) (0)
- Genetics will help social engineers nurture the brain's nature (2004) (0)
- Erratum: Reply to Christiansen and Curtin (Trends in Cognitive Sciences (1999) 3 (290-291)) (1999) (0)
- The journey from gene to brains in 25,000 genes or less (2005) (0)
- An unfolding genetic story (2004) (0)
- Forget about survival of the 'fittest': Evolution usually makes do with 'good enough' (2009) (0)
- Small : Reasoning about Containers : Cognitive and Automated Models (2012) (0)
- Metacognition for kids (2007) (0)
- On rules and exceptions : an investigation of inflectional morphology (1993) (0)
- Symposium: Development and Cognitive Architecture (2003) (0)
- Genes and the Brain (2007) (0)
- Songbirds work around computational complexity by learning song vocabulary independently of sequence (2017) (0)
- How fast can music and speech be perceived? Key identification in time-compressed music with periodic insertions of silence (2012) (0)
- Total recall (Investigation of memory savant Jill Price) (2009) (0)
- The Human Mind Isn ’ t Perfect – Who Knew ? (2009) (0)
- Janet Cohen Sherman (massachusetts general hospital) and Barbara lust (cornell university) children are in control (1993) (0)
- Guitar tricks for a middle-aged dog (2011) (0)
- Review of Variation and Universals in Biolinguistics, edited by Lyle Jenkins (2008) (0)
- Connectionism: What’s structure got to do with it? (2020) (0)
- 10,000 Just so stories can't all be wrong (2009) (0)
- Physics Engines as Cognitive Models of Intuitive Physical Reasoning (2021) (0)
- The need for cooperation is in the genes (2004) (0)
- How evolution cobbled together a talking ape (2007) (0)
- Learn something new - your brain will thank you (2012) (0)
- Talking point: Interviewed by Helen Pilcher (2005) (0)
- If computers are made up of hardware and software, transistors and resistors, what are neural machines we know as minds made up of? (2006) (0)
- Review of The Evolution of Mind, edited by Denise D. Cummins and Colin Allen (2000) (0)
- The puzzle of pleasure (2009) (0)
- Did humans invent music (2012) (0)
- Consulting issue editor: The magic of language (2007) (0)
- Volume Contents, Volume 28, 2011 (2011) (0)
- Artificial Intelligence Applied to Assistive Technologies and Smart Environments, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016 (2016) (0)
- Does your brain have a mind of it own (2008) (0)
- Music and the Science of Learning (2012) (0)
- PDP and symbol manipulation: What’s been learned since 1986? (2014) (0)
- Marcus Rule Learning by Seven-Month-Old Infants (2011) (0)
- Tree structure and the representation of sentences: A reappraisal (2013) (0)
- A world of silent communication (2000) (0)
- The brain in the machine (2012) (0)
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Other Resources About Gary Marcus
What Schools Are Affiliated With Gary Marcus?
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What Are Gary Marcus's Academic Contributions?
Gary Marcus is most known for their academic work in the field of computer science. They are also known for their academic work in the fields of and psychology.
Gary Marcus has made the following academic contributions:
