Gary Marcus | Academic Influence

Why Is Gary Marcus Influential?

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. (1067)
Overregularization in language acquisition. (816)
Deep Learning: A Critical Appraisal (624)
German Inflection: The Exception That Proves the Rule (554)
The Algebraic Mind: Integrating Connectionism and Cognitive Science (509)
Negative evidence in language acquisition (392)
The eloquent ape: genes, brains and the evolution of language (320)
Rethinking Eliminative Connectionism (300)
Commonsense reasoning and commonsense knowledge in artificial intelligence (269)
FOXP2 in focus: what can genes tell us about speech and language? (234)
Regular and irregular inflection in the acquisition of German noun plurals (215)
Infant Rule Learning Facilitated by Speech (205)
Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants (158)
The topographic brain: from neural connectivity to cognition (133)
How Robust Are Probabilistic Models of Higher-Level Cognition? (112)
Can connectionism save constructivism? (110)
The Birth of the Mind (109)
Abstract Rule Learning for Visual Sequences in 8- and 11-Month-Olds. (107)
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (105)
Sensitivity of children's inflection to grammatical structure. (94)
Information from multiple modalities helps 5-month-olds learn abstract rules. (94)
Kluge: The Haphazard Construction of the Human Mind (93)
Children's overregularization of English plurals: a quantitative analysis. (88)
The Birth of the Mind: How a Tiny Number of Genes Creates The Complexities of Human Thought (86)
Cognitive architecture and descent with modification (74)
The acquisition of the English past tense in children and multilayered connectionist networks (69)
The atoms of neural computation (67)
From semantics to syntax and back again: Argument structure in the third year of life (65)
Rule learning by cotton-top tamarins. (64)
The scope of linguistic generalizations: evidence from Hebrew word formation (61)
Kluge : the haphazard evolution of the human mind (55)
The neural processing of hierarchical structure in music and speech at different timescales (52)
Compounding and inflection in German child language (49)
Does Broca's play by the rules? (49)
RETRACTED: Rule learning by cotton-top tamarins (47)
Innateness, AlphaZero, and Artificial Intelligence (46)
The scope and limits of simulation in automated reasoning (42)
Why Do Children Say “Breaked”? (42)
Roots, stems, and the universality of lexical representations: Evidence from Hebrew (37)
Connectionism: with or without rules? Response to J.L. McClelland and D.C. Plaut (1999) (36)
How Does the Mind Work? Insights from Biology (35)
Plasticity and Nativism: Towards a Resolution of an Apparent Paradox (35)
Songbirds work around computational complexity by learning song vocabulary independently of sequence (34)
Rule Learning by Seven-Month-Old Infants and Neural Networks (34)
Vocal learning beyond imitation: mechanisms of adaptive vocal development in songbirds and human infants (33)
On the Role of Variables in Phonology: Remarks on Hayes and Wilson 2008 (32)
What developmental disorders can tell us about the nature and origins of language (29)
Language acquisition in the absence of explicit negative evidence: can simple recurrent networks obviate the need for domain-specific learning devices? (27)
Shifting senses in lexical semantic development (27)
Acquiring German noun plurals (26)
Infant Rule Learning: Advantage Language, or Advantage Speech? (26)
Language: Startling starlings (26)
The Cambridge Handbook of Biolinguistics (24)
Are There Limits to Statistical Learning? (23)
Pabiku and Ga Ti Ga (23)
Top-down influence in young children's linguistic ambiguity resolution. (22)
Children's overregularization and its implications for cognition (22)
The future of the brain : essays by the world's leading neuroscientists (20)
Lessons from the Genome (19)
Beyond the Turing Test (19)
Musicality: Instinct or Acquired Skill? (19)
Rules, Radical Pragmatics and Restrictions on Regular Polysemy (18)
Commonsense reasoning about containers using radically incomplete information (18)
Reply to Seidenberg and Elman (18)
The Scope and Limits of Simulation in Cognitive Models (17)
Reply to Christiansen and Curtin (16)
What can individual differences tell us about the specialization of function? (16)
A Review of Winograd Schema Challenge Datasets and Approaches (15)
Temporal dynamics and the identification of musical key. (14)
Still Searching for Principles (14)
Deep learning: A revolution in artificial intelligence (14)
Genes and domain specificity (13)
Before the word (13)
Evolution, perfection, and theories of language (12)
Poverty of the stimulus arguments (11)
Guitar zero : the science of becoming musical at any age (9)
Guitar Zero: The New Musician and the Science of Learning (8)
Concepts, correlations, and some challenges for connectionist cognition (8)
The Role of Association in Early Word-Learning (7)
Making the mind (7)
Neither size fits all: comment on McClelland et al. and Griffiths et al. (6)
The Connectome As A DNA Sequencing Problem (6)
Language acquisition, domain specificity, and descent with modification (6)
Insights for AI from the human mind (6)
What's in a U? The Shapes of Cognitive Development (6)
NeuroGene: integrated simulation of gene regulation, neural activity and neurodevelopment (6)
The roles of item repetition and position in infants' abstract rule learning. (5)
Lessons from Evolution (5)
Toward a Comprehension Challenge, Using Crowdsourcing as a Tool (5)
Decoding time for the identification of musical key (5)
Neuroscience in 2064: A Look at the Last Century (5)
The Scope and Limits of Simulation in Cognition and Automated Reasoning (5)
Children's inflection is sensitive to morphological structure (5)
The Computational Brain (4)
Infant Pathways to Language: Methods, Models and Research Directions (4)
The web gets smarter (4)
Genes and language (4)
What Developmental Biology Can Tell Us about Innateness (3)
Morphology and mind: A unified approach to explanation in linguistics . Christopher J. Hall. New York: Routledge, 1992. Pp. xx + 224. (3)
Frequently Asked Questions for: The Atoms of Neural Computation (3)
The Neurobiology of Language (3)
L2 learners treat regular and irregular inflection differently in compounding (3)
Running Head : Shifting senses in lexical semantic development Shifting senses in lexical semantic development (2)
Cracking the brain's codes (2)
Review of Exercises in Rethinking Innateness (2)
Maths is the true language of science (2)
Variation and Universals in Biolinguistics. North-Holland Linguistic Series: Linguistic Variations, Vol. 62, Lyle Jenkins (Ed.). Elsevier (2004) (2)
Causal generative models are just a start (2)
How the Brain Develops (2)
Building a Behaving Brain (2)
Am I Human? (2)
Something old, something new (2)
Building Atlases Of The Brain (2)
Recording from Many Neurons Simultaneously: From Measurement to Meaning (2)
Computational limits don't fully explain human cognitive limitations (2)
Programs of the Mind (2)
Generalizing argument structure in the third year of life (2)
Behold the talking chimp (2)
Neural Dust: An Untethered Approach to Chronic Brain-Machine Interfaces (2)
The effect of structure and rate variation on key-finding (2)
Genes, proteins and domain-specificity (2)
Ray Kurzweil's dubious new theory of mind (2)
Proceedings of the 2015th International Conference on Cognitive Computation: Integrating Neural and Symbolic Approaches - Volume 1583 (1)
Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity (1)
Guitar Zero: The Science of Learning to be Musical (1)
Editor's introduction to Best Of. (1)
Do we really need to learn to code (1)
Language evolution: evolutionary vestiges may provide clues to the ultimate origins of human language. (1)
The Cambridge Handbook of Biolinguistics: Modularity and descent-with-modification (1)
What can developmental disorders tell us about modularity? (1)
Opposites detract: Why rules and similarity should not be viewed as opposite ends of a continuum (1)
Whole Brain Neuroimaging and Virtual Reality (1)
The roles of item repetition and position in infant sequence learning (1)
What Nate Silver gets wrong : Review of The Noise and the Signal by Nate Silver (1)
Understanding The Cortex Through Grid Cells (1)
The Norton psychology reader (1)
The Miswired Brain, Genes, and Mental Illness (1)
Large-Scale Neuroscience: From Analytics to Insight (1)
The modules behind the learning (1)
Happy birthday, Noam Chomsky (1)
Two kinds of representations (1)
Why making robots is so darn hard (1)
A grand unified theory of everything (1)
How fast can music and speech be perceived? Key identification in time-compressed music with periodic insertions of silence (0)
On rules and exceptions : an investigation of inflectional morphology (0)
Whole Brain Simulation (0)
Book Reviews (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) (0)
If computers are made up of hardware and software, transistors and resistors, what are neural machines we know as minds made up of? (0)
How evolution cobbled together a talking ape (0)
Guitar tricks for a middle-aged dog (0)
The puzzle of pleasure (0)
Metacognition for kids (0)
Reports on the 2015 AAAI workshop series (0)
The brain in the machine (0)
Connectionism: What’s structure got to do with it? (0)
The need for cooperation is in the genes (0)
The Human Mind Isn ’ t Perfect – Who Knew ? (0)
Volume Contents, Volume 28, 2011 (0)
Op Ed: Eight (no, nine) things wrong with big data (0)
Review of The Evolution of Mind, edited by Denise D. Cummins and Colin Allen (0)
Extracting higher-level relationships in connectionist models (0)
Language as Kluge (0)
Physics Engines as Cognitive Models of Intuitive Physical Reasoning (0)
PDP and symbol manipulation: What’s been learned since 1986? (0)
Corrigendum (0)
Small : Reasoning about Containers : Cognitive and Automated Models (0)
Symposium: Development and Cognitive Architecture (0)
Talking point: Interviewed by Helen Pilcher (0)
Consulting issue editor: The magic of language (0)
Review of Variation and Universals in Biolinguistics, edited by Lyle Jenkins (0)
Does your brain have a mind of it own (0)
Genes and the Brain (0)
The journey from gene to brains in 25,000 genes or less (0)
Total recall (Investigation of memory savant Jill Price) (0)
PDP and Symbol Manipulation (0)
Neural reuse and human individual differences (0)
Spoken Language Comprehension: An Experimental Approach to Disordered and Normal Processing By LORRAINE KOMISARJEVSKY TYLER. Cambridge, MA.: MIT Press, 1992. Pp. xiv + 292. (0)
Tree structure and the representation of sentences: A reappraisal (0)
Rule-learning: Advantage Language, or Advantage Speech? (0)
Held in reserve: An interview with Gill Marcus (0)
Marcus Rule Learning by Seven-Month-Old Infants (0)
Forget about survival of the 'fittest': Evolution usually makes do with 'good enough' (0)
10,000 Just so stories can't all be wrong (0)
Did humans invent music (0)
Learn something new - your brain will thank you (0)
Review of The Great Brain Debate: Nature or Nurture by J. Dowling (0)
An unfolding genetic story (0)
Debates on Artificial Intelligence (0)
Erratum: Reply to Christiansen and Curtin (Trends in Cognitive Sciences (1999) 3 (290-291)) (0)
Analysis of the development of phonetic syntax in infant babbling (0)
Genetics will help social engineers nurture the brain's nature (0)
A world of silent communication (0)
Janet Cohen Sherman (massachusetts general hospital) and Barbara lust (cornell university) children are in control (0)
Music and the Science of Learning (0)
Artificial Intelligence Applied to Assistive Technologies and Smart Environments, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016 (0)

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What Are Gary Marcus's Academic Contributions?

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Gary Marcus has made the following academic contributions:

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