Gary Marcus
#2,538
Most Influential Person
American psycholinguist
Why Is Gary Marcus Influential?
(Suggest an Edit or Addition)According to Wikipedia, Gary F. Marcus is an American scientist, author, and entrepreneur who is a professor in the Department of Psychology at New York University and was founder and CEO of 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 Papers
- Rule learning by seven-month-old infants. (1999) (1081)
- Overregularization in language acquisition. (1992) (837)
- Deep Learning: A Critical Appraisal (2018) (704)
- German Inflection: The Exception That Proves the Rule (1995) (569)
- The Algebraic Mind: Integrating Connectionism and Cognitive Science (2001) (527)
- Negative evidence in language acquisition (1993) (394)
- The eloquent ape: genes, brains and the evolution of language (2006) (318)
- Rethinking Eliminative Connectionism (1998) (314)
- Commonsense reasoning and commonsense knowledge in artificial intelligence (2015) (307)
- FOXP2 in focus: what can genes tell us about speech and language? (2003) (229)
- Regular and irregular inflection in the acquisition of German noun plurals (1992) (221)
- Infant Rule Learning Facilitated by Speech (2007) (205)
- Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants (2013) (168)
- The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (2020) (152)
- The topographic brain: from neural connectivity to cognition (2007) (133)
- How Robust Are Probabilistic Models of Higher-Level Cognition? (2013) (118)
- The Birth of the Mind (2003) (115)
- Can connectionism save constructivism? (1998) (111)
- Abstract Rule Learning for Visual Sequences in 8- and 11-Month-Olds. (2009) (109)
- Information from multiple modalities helps 5-month-olds learn abstract rules. (2009) (94)
- The Birth of the Mind: How a Tiny Number of Genes Creates The Complexities of Human Thought (2004) (92)
- Sensitivity of children's inflection to grammatical structure (1994) (92)
- Children's overregularization of English plurals: a quantitative analysis (1995) (91)
- Kluge: The Haphazard Construction of the Human Mind (2008) (89)
- Cognitive architecture and descent with modification (2006) (75)
- The acquisition of the English past tense in children and multilayered connectionist networks (1995) (68)
- The scope of linguistic generalizations: evidence from Hebrew word formation (2002) (66)
- From semantics to syntax and back again: Argument structure in the third year of life (2006) (65)
- Rule learning by cotton-top tamarins. (2002) (65)
- The atoms of neural computation (2014) (63)
- Kluge : the haphazard evolution of the human mind (2009) (58)
- The neural processing of hierarchical structure in music and speech at different timescales (2015) (55)
- Compounding and inflection in German child language (1996) (49)
- Does Broca's play by the rules? (2003) (48)
- The scope and limits of simulation in automated reasoning (2016) (48)
- Innateness, AlphaZero, and Artificial Intelligence (2018) (48)
- RETRACTED: Rule learning by cotton-top tamarins (2002) (47)
- Rule Learning by Seven-Month-Old Infants and Neural Networks (1999) (45)
- Why Do Children Say “Breaked”? (1996) (44)
- Roots, stems, and the universality of lexical representations: Evidence from Hebrew (2007) (37)
- Connectionism: with or without rules? Response to J.L. McClelland and D.C. Plaut (1999) (1999) (36)
- Plasticity and Nativism: Towards a Resolution of an Apparent Paradox (2001) (35)
- Songbirds work around computational complexity by learning song vocabulary independently of sequence (2017) (34)
- How Does the Mind Work? Insights from Biology (2009) (33)
- Vocal learning beyond imitation: mechanisms of adaptive vocal development in songbirds and human infants (2014) (32)
- On the Role of Variables in Phonology: Remarks on Hayes and Wilson 2008 (2012) (32)
- What developmental disorders can tell us about the nature and origins of language (2006) (29)
- Language acquisition in the absence of explicit negative evidence: can simple recurrent networks obviate the need for domain-specific learning devices? (1999) (27)
- Shifting senses in lexical semantic development (2010) (27)
- Acquiring German noun plurals (1995) (27)
- Infant Rule Learning: Advantage Language, or Advantage Speech? (2012) (26)
- A Review of Winograd Schema Challenge Datasets and Approaches (2020) (25)
- Language: Startling starlings (2006) (25)
- Are There Limits to Statistical Learning? (2003) (23)
- Top-down influence in young children's linguistic ambiguity resolution. (2013) (23)
- Commonsense reasoning about containers using radically incomplete information (2017) (22)
- Lessons from the Genome (2014) (22)
- Children's overregularization and its implications for cognition (2000) (21)
- Musicality: Instinct or Acquired Skill? (2012) (21)
- The future of the brain : essays by the world's leading neuroscientists (2015) (20)
- Rules, Radical Pragmatics and Restrictions on Regular Polysemy (2011) (20)
- The Scope and Limits of Simulation in Cognitive Models (2015) (20)
- Reply to Seidenberg and Elman (1999) (18)
- Beyond the Turing Test (2016) (17)
- Pabiku and Ga Ti Ga (2000) (17)
- The Cambridge Handbook of Biolinguistics (2013) (17)
- What can individual differences tell us about the specialization of function? (2011) (16)
- Reply to Christiansen and Curtin (1999) (16)
- Still Searching for Principles (2015) (14)
- Temporal dynamics and the identification of musical key. (2013) (14)
- Deep learning: A revolution in artificial intelligence (2012) (14)
- Before the word (2004) (13)
- Evolution, Perfection, and Theories of Language (2009) (13)
- Genes and domain specificity (2006) (13)
- Poverty of the stimulus arguments (1999) (11)
- Insights for AI from the human mind (2020) (9)
- Guitar Zero: The New Musician and the Science of Learning (2012) (9)
- Guitar zero : the science of becoming musical at any age (2012) (9)
- Concepts, correlations, and some challenges for connectionist cognition (2008) (8)
- Making the mind (2006) (8)
- The Role of Association in Early Word-Learning (2012) (7)
- What's in a U? The Shapes of Cognitive Development (2004) (7)
- Language acquisition, domain specificity, and descent with modification (2008) (6)
- Neither size fits all: comment on McClelland et al. and Griffiths et al. (2010) (6)
- NeuroGene: integrated simulation of gene regulation, neural activity and neurodevelopment (2005) (6)
- The Connectome As A DNA Sequencing Problem (2014) (6)
- Toward a Comprehension Challenge, Using Crowdsourcing as a Tool (2016) (6)
- Children's inflection is sensitive to morphological structure (1991) (5)
- Lessons from Evolution (2014) (5)
- Neuroscience in 2064: A Look at the Last Century (2014) (5)
- Decoding time for the identification of musical key (2015) (5)
- The Scope and Limits of Simulation in Cognition and Automated Reasoning (2014) (5)
- Morphology and mind: A unified approach to explanation in linguistics . Christopher J. Hall. New York: Routledge, 1992. Pp. xx + 224. (1993) (4)
- Infant Pathways to Language: Methods, Models and Research Directions (2008) (4)
- Genes and language (2011) (4)
- The Computational Brain (2014) (4)
- The roles of item repetition and position in infants' abstract rule learning. (2018) (4)
- What Developmental Biology Can Tell Us about Innateness (2005) (4)
- Computational limits don't fully explain human cognitive limitations (2020) (4)
- The web gets smarter (2012) (4)
- Programs of the Mind (2004) (3)
- The Neurobiology of Language (2014) (3)
- L2 learners treat regular and irregular inflection differently in compounding (1995) (3)
- Generalizing argument structure in the third year of life (2005) (3)
- Frequently Asked Questions for: The Atoms of Neural Computation (2014) (3)
- Something old, something new (2004) (2)
- Genes, proteins and domain-specificity (1999) (2)
- How the Brain Develops (2007) (2)
- Building a Behaving Brain (2014) (2)
- Neural Dust: An Untethered Approach to Chronic Brain-Machine Interfaces (2014) (2)
- Cracking the brain's codes (2014) (2)
- Behold the talking chimp (2004) (2)
- Review of Exercises in Rethinking Innateness (1997) (2)
- Causal generative models are just a start (2017) (2)
- Recording from Many Neurons Simultaneously: From Measurement to Meaning (2014) (2)
- Ray Kurzweil's dubious new theory of mind (2012) (2)
- Am I Human? (2017) (2)
- Running Head : Shifting senses in lexical semantic development Shifting senses in lexical semantic development (2010) (2)
- Variation and Universals in Biolinguistics. North-Holland Linguistic Series: Linguistic Variations, Vol. 62, Lyle Jenkins (Ed.). Elsevier (2004) (2008) (2)
- Maths is the true language of science (2013) (2)
- Building Atlases Of The Brain (2014) (2)
- The effect of structure and rate variation on key-finding (2010) (2)
- Editor's introduction to Best Of. (2009) (1)
- Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity (2006) (1)
- Understanding The Cortex Through Grid Cells (2014) (1)
- The modules behind the learning (2002) (1)
- Large-Scale Neuroscience: From Analytics to Insight (2014) (1)
- Guitar Zero: The Science of Learning to be Musical (2012) (1)
- Why making robots is so darn hard (2012) (1)
- The Miswired Brain, Genes, and Mental Illness (2014) (1)
- What Nate Silver gets wrong : Review of The Noise and the Signal by Nate Silver (2013) (1)
- Reports on the 2015 AAAI workshop series (2015) (1)
- The Cambridge Handbook of Biolinguistics: Modularity and descent-with-modification (2013) (1)
- The roles of item repetition and position in infant sequence learning (2017) (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)
- Two kinds of representations (2000) (1)
- What can developmental disorders tell us about modularity? (2002) (1)
- Whole Brain Neuroimaging and Virtual Reality (2014) (1)
- A grand unified theory of everything (2013) (1)
- Proceedings of the 2015th International Conference on Cognitive Computation: Integrating Neural and Symbolic Approaches - Volume 1583 (2015) (1)
- Do we really need to learn to code (2014) (1)
- The Norton psychology reader (2006) (1)
- Happy birthday, Noam Chomsky (2012) (1)
- Talking point: Interviewed by Helen Pilcher (2005) (0)
- 10,000 Just so stories can't all be wrong (2009) (0)
- Artificial Intelligence Applied to Assistive Technologies and Smart Environments, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016 (2016) (0)
- Held in reserve: An interview with Gill Marcus (2015) (0)
- Learn something new - your brain will thank you (2012) (0)
- Book Reviews (2002) (0)
- The journey from gene to brains in 25,000 genes or less (2005) (0)
- Review of The Great Brain Debate: Nature or Nurture by J. Dowling (2007) (0)
- Did humans invent music (2012) (0)
- Janet Cohen Sherman (massachusetts general hospital) and Barbara lust (cornell university) children are in control (1993) (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)
- Whole Brain Simulation (2014) (0)
- Connectionism: What’s structure got to do with it? (2020) (0)
- Forget about survival of the 'fittest': Evolution usually makes do with 'good enough' (2009) (0)
- PDP and symbol manipulation: What’s been learned since 1986? (2014) (0)
- Corrigendum (1999) (0)
- The puzzle of pleasure (2009) (0)
- Symposium: Development and Cognitive Architecture (2003) (0)
- Extracting higher-level relationships in connectionist models (1997) (0)
- Debates on Artificial Intelligence (2020) (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)
- Music and the Science of Learning (2012) (0)
- Metacognition for kids (2007) (0)
- Small : Reasoning about Containers : Cognitive and Automated Models (2012) (0)
- Rule-learning: Advantage Language, or Advantage Speech? (2006) (0)
- Neural reuse and human individual differences (2010) (0)
- On rules and exceptions : an investigation of inflectional morphology (1993) (0)
- An unfolding genetic story (2004) (0)
- Volume Contents, Volume 28, 2011 (2011) (0)
- Op Ed: Eight (no, nine) things wrong with big data (2014) (0)
- How fast can music and speech be perceived? Key identification in time-compressed music with periodic insertions of silence (2012) (0)
- The Human Mind Isn ’ t Perfect – Who Knew ? (2009) (0)
- Marcus Rule Learning by Seven-Month-Old Infants (2011) (0)
- Review of Variation and Universals in Biolinguistics, edited by Lyle Jenkins (2008) (0)
- Physics Engines as Cognitive Models of Intuitive Physical Reasoning (2021) (0)
- Total recall (Investigation of memory savant Jill Price) (2009) (0)
- Erratum: Reply to Christiansen and Curtin (Trends in Cognitive Sciences (1999) 3 (290-291)) (1999) (0)
- Tree structure and the representation of sentences: A reappraisal (2013) (0)
- Consulting issue editor: The magic of language (2007) (0)
- Language as Kluge (2008) (0)
- A world of silent communication (2000) (0)
- The brain in the machine (2012) (0)
- Analysis of the development of phonetic syntax in infant babbling (2013) (0)
- Does your brain have a mind of it own (2008) (0)
- PDP and Symbol Manipulation (2014) (0)
- The need for cooperation is in the genes (2004) (0)
- Guitar tricks for a middle-aged dog (2011) (0)
- Genes and the Brain (2007) (0)
- Genetics will help social engineers nurture the brain's nature (2004) (0)
- How evolution cobbled together a talking ape (2007) (0)
- 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)
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What Are Gary Marcus's Academic Contributions?
Gary Marcus is most known for their academic work in the field of psychology. They are also known for their academic work in the fields of
Gary Marcus has made the following academic contributions:
