James McClelland | Academic Influence

James McClelland 's AcademicInfluence.com Rankings

James McClelland

Psychology

#44

World Rank

#102

Historical Rank

#33

USA Rank

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Psychology

James McClelland 's Degrees

PhD Psychology University of Pennsylvania
Bachelors Psychology Columbia University

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Why Is James McClelland Influential?

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According to Wikipedia, James Lloyd "Jay" McClelland, FBA is the Lucie Stern Professor at Stanford University, where he was formerly the chair of the Psychology Department. He is best known for his work on statistical learning and Parallel Distributed Processing, applying connectionist models to explain cognitive phenomena such as spoken word recognition and visual word recognition. McClelland is to a large extent responsible for the large increase in scientific interest in connectionism in the 1980s.

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James McClelland '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

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations (1986) (15906)
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. (1995) (4655)
An interactive activation model of context effects in letter perception: I. An account of basic findings. (1981) (4338)
A distributed, developmental model of word recognition and naming. (1989) (3816)
The TRACE model of speech perception (1986) (2896)
Understanding normal and impaired word reading: computational principles in quasi-regular domains. (1996) (2728)
Parallel Distributed Processing: Explorations in the Microstructures of Cognition (1987) (2566)
The time course of perceptual choice: the leaky, competing accumulator model. (2001) (1998)
On the control of automatic processes: a parallel distributed processing account of the Stroop effect. (1990) (1943)
An interactive activation model of context effects in letter perception: part 1.: an account of basic findings (1988) (1907)
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks (2013) (1476)
On learning the past-tenses of English verbs: implicit rules or parallel distributed processing (1986) (1292)
Distributed Representations (1986) (1292)
On the time relations of mental processes: An examination of systems of processes in cascade. (1979) (1288)
An interactive activation model of context effects in letter perception: Part 2. The contextual enhancement effect and some tests and extensions of the model. (1982) (1150)
Distributed memory and the representation of general and specific information. (1985) (1103)
Semantic Cognition: A Parallel Distributed Processing Approach (2004) (1028)
Parallel Distributed Processing: Explorations in the Microstructure of Cognition : Psychological and Biological Models (1986) (986)
A general framework for parallel distributed processing (1986) (868)
Hippocampal conjunctive encoding, storage, and recall: Avoiding a trade‐off (1994) (854)
Structure and deterioration of semantic memory: a neuropsychological and computational investigation. (2004) (848)
Explorations In Parallel Distributed Processing (1988) (844)
A computational model of semantic memory impairment: modality specificity and emergent category specificity. (1991) (822)
Schemata and Sequential Thought Processes in PDP Models (1986) (814)
Explorations in parallel distributed processing: a handbook of models, programs, and exercises (1988) (756)
Autonomous Mental Development by Robots and Animals (2001) (690)
Learning the structure of event sequences. (1991) (661)
The parallel distributed processing approach to semantic cognition (2003) (608)
The appeal of parallel distributed processing (1986) (604)
A reexamination of the evidence for the somatic marker hypothesis: what participants really know in the Iowa gambling task. (2004) (541)
Finite State Automata and Simple Recurrent Networks (1989) (530)
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated (2016) (440)
Rethinking infant knowledge: toward an adaptive process account of successes and failures in object permanence tasks. (1997) (435)
Rules or connections in past-tense inflections: what does the evidence rule out? (2002) (431)
Mechanisms of Sentence Processing: Assigning Roles to Constituents of Sentences (1986) (382)
Letting structure emerge: connectionist and dynamical systems approaches to cognition (2010) (369)
No Right to Speak? The Relationship between Object Naming and Semantic Impairment:Neuropsychological Evidence and a Computational Model (2001) (364)
Parallel Distributed Processing (2005) (360)
Loss aversion and inhibition in dynamical models of multialternative choice. (2004) (350)
Constituent Attachment and Thematic Role Assignment in Sentence Processing: Influences of Content-Based Expectations (1988) (348)
Learning and Applying Contextual Constraints in Sentence Comprehension (1990) (343)
Familiarity breeds differentiation: a subjective-likelihood approach to the effects of experience in recognition memory. (1998) (332)
Psychological and biological models (1986) (297)
Conspiracy effects in word pronunciation. (1987) (295)
A distributed model of human learning and memory (1986) (291)
Considerations arising from a complementary learning systems perspective on hippocampus and neocortex (1996) (277)
Generalization Through the Recurrent Interaction of Episodic Memories (2012) (272)
Information integration in perception and communication (1996) (270)
A parallel distributed processing approach to automaticity. (1992) (268)
Sentence comprehension: A parallel distributed processing approach (1989) (263)
Cognitive penetration of the mechanisms of perception: Compensation for coarticulation of lexically restored phonemes (1988) (262)
Unsupervised learning of vowel categories from infant-directed speech (2007) (262)
Success and failure in teaching the [r]-[l] contrast to Japanese adults: Tests of a Hebbian model of plasticity and stabilization in spoken language perception (2002) (250)
Are there interactive processes in speech perception? (2006) (244)
The Case for Interactionism in Language Processing. (1987) (238)
Alternatives to the combinatorial paradigm of linguistic theory based on domain general principles of human cognition (2005) (225)
Dissociating Reading Processes on the Basis of Neuronal Interactions (2005) (221)
PDP models and general issues in cognitive science (1986) (221)
Incorporating rapid neocortical learning of new schema-consistent information into complementary learning systems theory. (2013) (215)
Language is not Just for Talking (2007) (215)
Parallel Distributed Processing: Implications for Cognition and Development (1988) (208)
The Place of Modeling in Cognitive Science (2009) (203)
Connectionist models of development (2003) (197)
Integration of Sensory and Reward Information during Perceptual Decision-Making in Lateral Intraparietal Cortex (LIP) of the Macaque Monkey (2010) (195)
Interactive processes in speech perception: the TRACE model (1986) (193)
Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice (2007) (192)
Performance Feedback Drives Caudate Activation in a Phonological Learning Task (2006) (191)
Trophic relationships among Southern Ocean copepods and krill: Some uses and limitations of a stable isotope approach (2003) (188)
Learning Subsequential Structure in Simple Recurrent Networks (1988) (182)
Stochastic interactive processes and the effect of context on perception (1991) (166)
Connections and disconnections: Acquired dyslexia in a computational model of reading processes. (1989) (161)
Learning Representations by Recirculation (1987) (158)
The role of familiar units in perception of words and nonwords (1977) (154)
Deficits in irregular past-tense verb morphology associated with degraded semantic knowledge (2001) (154)
A mathematical theory of semantic development in deep neural networks (2018) (149)
Toward a Unified Theory of Development: Connectionism and Dynamic Systems Theory Re-Considered (2009) (147)
Connectionist models and psychological evidence (1988) (147)
Neural models of memory (1999) (144)
Experimental tests of a hierarchical model of word identification (1980) (140)
Deficits in phonology and past-tense morphology: What's the connection? (2003) (139)
Modelling the N400 brain potential as change in a probabilistic representation of meaning (2018) (136)
Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition (2014) (136)
Précis of Semantic Cognition: A Parallel Distributed Processing Approach (2008) (136)
Toward a theory of information processing in graded, random, and interactive networks (1993) (135)
Expectations Increase the Benefit Derived from Parafoveal Visual Information in Reading Words Aloud. (1981) (134)
Constructive memory and memory distortions: A parallel-distributed processing approach. (1995) (133)
Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly (1988) (130)
Hick's law in a stochastic race model with speed-accuracy tradeoffs (2002) (127)
Visual factors in word perception (1973) (126)
Nonword pronunciation and models of word recognition. (1994) (123)
Levels indeed! A response to Broadbent (1985) (121)
Connectionist models of cognition. (2008) (119)
Repetition priming of words, pseudowords, and nonwords. (2000) (117)
Teaching the /r/–/l/ discrimination to Japanese adults: behavioral and neural aspects (2002) (112)
Generalization with Componential Attractors: Word and Nonword Reading in an Attractor Network (1993) (112)
Concepts, Control, and Context: A Connectionist Account of Normal and Disordered Semantic Cognition (2018) (107)
Mechanisms of cognitive development : behavioral and neural perspectives (2001) (107)
Using Time-Varying Evidence to Test Models of Decision Dynamics: Bounded Diffusion vs. the Leaky Competing Accumulator Model (2012) (101)
The somatic marker hypothesis: still many questions but no answers Response to Bechara et al. (2005) (98)
‘Words or Rules’ cannot exploit the regularity in exceptions (2002) (98)
The role of syntactic context in word recognition (1981) (95)
Speech Perception as a Cognitive Process: The Interactive Activation Model. (1983) (94)
Dissociating stimulus‐driven semantic and phonological effect during reading and naming (2006) (92)
Environmental drivers of systematicity and generalization in a situated agent (2019) (90)
Locating object knowledge in the brain: comment on Bowers's (2009) attempt to revive the grandmother cell hypothesis. (2010) (90)
Why Bilateral Damage Is Worse than Unilateral Damage to the Brain (2013) (88)
The programmable blackboard model of reading (1986) (86)
Testing Multi-Alternative Decision Models with Non-Stationary Evidence (2011) (84)
The Basis of Hyperspecificity in Autism: A Preliminary Suggestion Based on Properties of Neural Nets (2000) (81)
A single-system account of semantic and lexical deficits in five semantic dementia patients (2008) (80)
Emergence in Cognitive Science (2010) (80)
Sensory and cognitive determinants of reading speed (1975) (79)
Can language models learn from explanations in context? (2022) (79)
Understanding failures of learning: Hebbian learning, competition for representational space, and some preliminary experimental data. (1999) (78)
More Words but Still No Lexicon: Reply to Besner et al. (1990) (1990) (77)
The Morton-Massaro law of information integration: implications for models of perception. (2001) (76)
Nature, nurture, and connections: Implications of connectionist models for cognitive development. (1991) (72)
An interactive Hebbian account of lexically guided tuning of speech perception (2006) (72)
Categorization and discrimination of nonspeech sounds: differences between steady-state and rapidly-changing acoustic cues. (2004) (70)
Interactive Activation and Mutual Constraint Satisfaction in Perception and Cognition (2014) (69)
Conjunctive search for one and two identical targets. (1989) (69)
Dynamic Integration of Reward and Stimulus Information in Perceptual Decision-Making (2011) (63)
More Words but Still No Lexicon : Reply to Besner et al . ( 1990 ) (1990) (63)
Dynamical and connectionist approaches to development: toward a future of mutually beneficial co-evolution (2009) (62)
Understanding normal and impaired word reading: Computational principles in quasi-regular domains (2020) (61)
Integrating probabilistic models of perception and interactive neural networks: a historical and tutorial review (2013) (59)
Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks (2005) (59)
Letter and configuration information in word identification (1977) (59)
Differentiating the differentiation models : A comparison of the retrieving effectively from memory model (REM) and the subjective likelihood model (SLiM) (2006) (59)
Predicting native English-like performance by native Japanese speakers (2011) (59)
Macrophyte Abundance in Waquoit Bay: Effects of Land-Derived Nitrogen Loads on Seasonal and Multi-Year Biomass Patterns (2008) (58)
Are there mental lexicons? The role of semantics in lexical decision (2010) (58)
Can native Japanese listeners learn to differentiate /r–l/ on the basis of F3 onset frequency?* (2011) (58)
Learning Continuous Probability Distributions with Symmetric Diffusion Networks (1993) (56)
Can a perceptual processing deficit explain the impairment of inflectional morphology in developmental dysphasia? A computational investigation. (1993) (54)
A Hippocampal Model of Recognition Memory (1997) (54)
Graded state machines: The representation of temporal contingencies in simple recurrent networks (1991) (53)
Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms (2008) (53)
The organization of memory. A parallel distributed processing perspective. (1994) (51)
Success and failure of new speech category learning in adulthood: Consequences of learned Hebbian attractors in topographic maps (2007) (51)
Use of isotopic signatures to assess the food web in a tropical shallow marine ecosystem of Southeastern Brazil (2006) (50)
Integration of New Information in Memory: New Insights from a Complementary Learning Systems Perspective (2020) (49)
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models (2020) (49)
Learning hierarchical category structure in deep neural networks (2013) (45)
Explorations in Parallel Distributed Processing - Macintosh version: A Handbook of Models, Programs, and Exercises (1989) (43)
Connectionist models and their applicationPutting knowledge in its place: A scheme for programming parallel processing structures on the fly** (1985) (42)
You shall know an object by the company it keeps: An investigation of semantic representations derived from object co-occurrence in visual scenes (2015) (42)
Complementary Learning Systems in the Brain: A Connectionist Approach to Explicit and Implicit Cognition and Memory (1998) (42)
Failures to Learn and their Remediation: A Hebbian Account (1999) (41)
CONNECTIONS AND DISCONNECTIONS: A CONNECTIONIST ACCOUNT OF SURFACE DYSLEXIA (1996) (38)
Bayesian analysis of simulation-based models (2016) (37)
The memory process : neuroscientific and humanistic perspectives (2010) (37)
B-Spline Contour Representation and Symmetry Detection (1993) (35)
U-Shaped Curves in Development: A PDP Approach (2004) (35)
Emergent Systematic Generalization in a Situated Agent (2019) (34)
Structural factors in figure perception (1979) (34)
Computational and behavioral investigations of lexically induced delays in phoneme recognition (2005) (34)
Running head : HEBBIAN LEARNING How Far Can You Go with Hebbian Learning , and When Does it Lead you Astray ? (2005) (32)
Using domain-general principles to explain children's causal reasoning abilities. (2007) (31)
Extending Machine Language Models toward Human-Level Language Understanding (2019) (31)
Language models show human-like content effects on reasoning (2022) (30)
Two Mechanisms of Human Contingency Learning (2011) (29)
Connectionist perspectives on language learning, representation and processing. (2015) (29)
Automaticity , Attention and the Strength of Processing : A Parallel Distributed Processing Account of the Stroop Effect (2001) (29)
Data from 617 Healthy Participants Performing the Iowa Gambling Task: A “Many Labs” Collaboration (2015) (28)
Payoff Information Biases a Fast Guess Process in Perceptual Decision Making under Deadline Pressure: Evidence from Behavior, Evoked Potentials, and Quantitative Model Comparison (2015) (27)
READING EXCEPTION WORDS AND PSEUDOWORDS - ARE 2 ROUTES REALLY NECESSARY (1992) (27)
A Differentiation Account of Recognition Memory: Evidence from fMRI (2013) (27)
What underlies the neuropsychological pattern of irregular>regular past-tense verb production? (2005) (27)
Amnesia and distributed memory (1986) (26)
Resource requirements of standard and programmable nets (1986) (26)
Visual word recognition and pronunciation: A computational model of acquisition, skilled performance, and dyslexia. (1989) (25)
Is a Machine Realization of Truly Human-Like Intelligence Achievable? (2009) (24)
Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics. (2020) (24)
Trace synthesis in cued recall (1992) (22)
Biologically Plausible Models of Place Recognition and Goal Location (1987) (22)
Cognitive Modeling, Symbolic (22)
Reflections on Cognition and Parallel Distributed Processing (1987) (22)
Stipulating versus discovering representations (2000) (22)
Connectionist Models (2010) (22)
A simulation-based tutorial system for exploring parallel distributed processing (1988) (21)
The neurodynamics of choice, value-based decisions and preference reversal (2008) (21)
Interactive Processing Through Spreading Activation (2017) (21)
A connectionist model of a continuous developmental transition in the balance scale task (2009) (21)
Tell me why! - Explanations support learning of relational and causal structure (2021) (20)
Quasi-compositional mapping from form to meaning: a neural network-based approach to capturing neural responses during human language comprehension (2019) (20)
Connectionist Models of Development: Mechanistic Dynamical Models with Emergent Dynamical Properties (2009) (20)
Computational approaches to cognition: top-down approaches (1993) (20)
Value-based decision making: An interactive activation perspective. (2020) (19)
Deficits in phonology and past tense morphology (2003) (18)
Modeling Unsupervised Perceptual Category Learning (2008) (18)
A neurocomputational approach to obsessive-compulsive disorder (2012) (17)
Context, cortex, and associations: a connectionist developmental approach to verbal analogies (2013) (17)
State-Dependent Factors Influencing Neural Plasticity: A Partial Account of the Critical Period (1987) (16)
Response to McQueen et al.: Theoretical and empirical arguments support interactive processing (2006) (16)
One-shot and few-shot learning of word embeddings (2017) (16)
A homeostatic rule for inhibitory synapses promotes temporal sharpening and cortical reorganization (2006) (16)
Distributed Models of Cognitive Processes: Applications to Learning and Memory a (1985) (16)
An interactive activation model of speech perception (1981) (16)
Memory as a Constructive Process: The Parallel Distributed Processing Approach (2010) (15)
Why Do Kids Say Goed and Brang? (2000) (15)
An Interactive Activation Model of the Effect of Context in Perception. Part II. Report No. 8003. (1980) (15)
Neural Network Models and Cognitive Neuropsychology (1992) (15)
How Language Affects Thought in a Connectionist Model (2007) (14)
When a bad metaphor may not be a victimless crime: The role of metaphor in social policy (2009) (14)
Stochastic Interactive Activation and the Effect of Context on Perception (1989) (14)
Learning hierarchical categories in deep neural networks (2013) (14)
Estimating the strength of unlabeled information during semi-supervised learning (2011) (13)
Connectionism : with or without rules ? Response to (13)
Differentiation and integration in human language Reply to Marslen-Wilson and Tyler (2003) (13)
A PDP model of the simultaneous perception of multiple objects (2011) (12)
Graded state machines: the representation of temporal contingencies in feedback networks (1995) (12)
Social inequalities formulation: Mad, bad and dangerous to know (2006) (12)
Developing the knowledge of number digits in a child-like robot (2019) (12)
Open Questions About Computation in Cerebral Cortex (1987) (12)
Can native Japanese listeners learn to differentiate /r–l/ on the basis of F3 onset frequency? – CORRIGENDUM (2012) (11)
Integration of information: Reflections on the theme of attention and performance XVI (1996) (11)
On Visual and Contextual Factors in Reading: A Reply to Rayner and Slowiaczek. (1981) (10)
Developing a domain-general framework for cognition: What is the best approach? (2003) (10)
Can a Recurrent Neural Network Learn to Count Things? (2018) (10)
Semantic cognition: Its nature, its development and its neural basis. (2009) (10)
Did, Made, Had, Said: Capturing Quasi-Regularity in Exception (2003) (10)
N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model (2016) (9)
Complementary Learning Systems 1 Why there are Complementary Learning Systems in the Hippocampus and Neocortex : Insights from the Successes and Failures of Connectionist Models of Learning and Memory (1999) (9)
Connectionist Models of Language (1989) (9)
The Phonological-Similarity Effect Differentiates Between Two Working Memory Tasks (2002) (9)
A neural network model of learning mathematical equivalence (2014) (9)
Capturing Gradience, Continuous Change, and Quasi‐Regularity in Sound, Word, Phrase, and Meaning (2015) (9)
Parallel Distributed Processing: Bridging the gap between human and machine intelligence (1990) (8)
Toward Computational Recognition of Humorous Intent (2005) (8)
Connectionism and the Emergence of Mind (2017) (8)
A simple model from a powerful framework that spans levels of analysis (2008) (8)
Distinct Representations of Magnitude and Spatial Position within Parietal Cortex during Number–Space Mapping (2018) (8)
Transforming task representations to perform novel tasks (2020) (7)
Building on prior knowledge without building it in (2017) (7)
Cognitive Psychology: History (2004) (7)
Parallel Distributed Processing and Role Assignment Constraints (1987) (7)
What underlies rapid learning and systematic generalization in humans (2021) (7)
Studying Individual Differences in Reading (1978) (7)
Graded Constraints on English Word Forms (2006) (7)
Can Generic Neural Networks Estimate Numerosity Like Humans? (2018) (7)
Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies (2020) (7)
Information Processing in Dynamical Systems: Foundations of Harmony Theory (1987) (7)
Different Presentations of a Mathematical Concept Can Support Learning in Complementary Ways (2018) (6)
" Vector Quantization : A Pattern-Matching Technique for Speech Coding (2017) (6)
Prediction-error driven learning: the engine of change in cognitive development (2002) (6)
Une nouvelle approche de la cognition : le connexionnisme (1987) (6)
Postscript: Parallel Distributed Processing in Localist Models without Thresholds. (2010) (6)
Concepts, control and context (2017) (5)
Why do we have a special learning system in the hippocampus?,(Abstract 580) (1993) (5)
Transforming task representations to allow deep learning models to perform novel tasks (2020) (5)
Category Learning: Learning the general but not the specific (1994) (5)
Formal Approaches in Categorization: Semantics without categorization (2011) (5)
Guest Editorial: Convergent Approaches to the Understanding of Autonomous Mental Development (2007) (5)
When Should We Expect Indirect Effects in Human Contingency Learning (2009) (4)
I like coffee with cream and dog? Change in an implicit probabilistic representation captures meaning processing in the brain (2017) (4)
An Interactive Activation Model of the Effect of Context in Perception, Part I. Technical Report, April, 1979 through March, 1980. Report No. 8002. (1980) (4)
Exploiting lawful variability in the signal: The TRACE model of speech perception (1983) (4)
Analogies Emerge from Learning Dyamics in Neural Networks (2017) (4)
[Neural Networks: A Review from Statistical Perspective]: Comment: Neural Networks and Cognitive Science: Motivations and Applications (1994) (4)
An Introduction to Linear Algebra in Parallel Distributed Processing (1987) (4)
Impaired Oral Reading in Surface Dyslexia: Detailed Comparison of a Patient and a Connectionist Model (1998) (4)
Modelling Natural Action Selection: Extending a biologically inspired model of choice: multi-alternatives, nonlinearity, and value-based multidimensional choice (2011) (4)
Memory as a Constructive Process (2010) (4)
Certain Aspects of the Anatomy and Physiology of the Cerebral Cortex (1987) (4)
Matching Exact Posterior Probabilities in the Multinomial Interactive Activation Model (2010) (4)
Computational Autonomous Mental Development: A White Paper for Suggesting a New Initiative (2000) (4)
Phonology and perception : A cognitive scientist ’ s perspective (2009) (4)
A Parallel Distributed Processing Perspective (1994) (3)
Exemplar models are useful and deep neural networks overcome their limitations: A commentary on Ambridge (2020) (2020) (3)
Progressive Development of the Number Sense in a Deep Neural Network (2013) (3)
Learning and Applying Contextual Comprehension * (1990) (3)
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks (2022) (3)
A computational model of learning to count in a multimodal, interactive environment (2020) (3)
Attentional Modulation of Lexical Effects on Speech Perception: Computational and Behavioral Experiments (2006) (3)
The PDP Perspective (1987) (3)
Introduction to 30 th Anniversary Perspectives on Cognitive Science : Past , Present , and Future (2010) (3)
Control of automatic processes: A parallel distributed-processing account of the Stroop effect. Technical report (1989) (3)
Now You See It , Now You Don ' t : A Gradualistic Framework for Understanding Infants ' Successes and Failures in Object Permanence Tasks (2001) (3)
Memory and its neural basis (2010) (3)
Intrusions into the shadow of attention: A new take on illusory conjunctions (2020) (2)
Two Plus Three Is Five: Discovering Efficient Addition Strategies without Metacognition (2014) (2)
Embedded Meta-Learning: Toward more flexible deep-learning models (2019) (2)
Electronic Supplementary Material for “ Toward an Executive without a Homunculus ” (2)
Mathematical Cognition 1 A Parallel-Distributed Processing Approach to Mathematical Cognition1 (2016) (2)
Improving the performance of symmetric diffusion networks via biologically inspired constraints (2001) (2)
Un modelo de activación interactivo de los efectos del contexto en la percepción de letras: explicación de los descubrimientos básicos (1990) (2)
Emerging Representations for Counting in a Neural Network Agent Interacting with a Multimodal Environment (2020) (2)
Learning to discriminate English / r / and / l / in adulthood : Behavioral and modeling studies (2015) (2)
Contrastive learning with graded random networks (1994) (2)
A Critique of Pure Hierarchy: Uncovering Cross-Cutting Structure in a Natural Dataset (2016) (2)
Toward a Pragmatic Connectionism (1996) (2)
An Analysis of the Delta Rule and the Learning of Statistical Associations (1987) (2)
Resilient properties of thought and experience (2015) (1)
Leading a volunteer organization: Impact of leadership styles on the performance of Boy Scout councils (2008) (1)
Common Spatial Characteristics of Illusory Conjunctions and Crowding (2012) (1)
The Unit Circle as a Grounded Conceptual Structure in Precalculus Trigonometry (2017) (1)
Capturing advanced human cognitive abilities with deep neural networks (2022) (1)
Deep Learning: Implications for Human Learning and Memory (2020) (1)
Phenylketonuria. 3. Measurement of multiple parameters of liver function. (1967) (1)
is achieved. Prior to stabilization, neural networks do not jump around between points in activation space. Stabiliza-tion is the process whereby a network first generates a de-terminate activation pattern, and thereby arrives at a point in activation space (2004) (1)
Learning to Reason With Relational Abstractions (2022) (1)
TWO MECHANISMS OF CONTINGENCY LEARNING 1 " RUNNING HEAD : TWO MECHANISMS OF CONTINGENCY LEARNING Two Mechanisms of Human Contingency Learning (2011) (1)
Toward Online Measurement of Decision State (2009) (1)
Sentence comprehension: A parallel distributed processing approach. Technical report (1989) (1)
The Development of the Time-Delayed Neural Network Architecture (1990) (1)
Tutorial Workshop on Contemporary Deep Neural Network Models (2016) (1)
Genetic Assessment of Breeding Patterns and Population Size of the Sicklefin Lemon Shark Negaprion acutidens in a Tropical Marine Protected Area: Implications for Conservation and Management (2020) (1)
Phonology without Phonemes (2004) (1)
Correction: Data from 617 Healthy Participants Performing the Iowa Gambling Task: A “Many Labs” Collaboration (2015) (1)
Attentional Modulation of Lexical Effects in an Interactive Model of Speech Perception (2004) (1)
P3: A Parallel Network Simulating System (1987) (1)
Una aproximación conexionista a los procesos mentales. Entrevista con James L. McClelland (2005) (1)
Dynamic Decision Making in Complex Task Environments: Principles and Neural Mechanisms (2013) (1)
LnTHE TRACE MODEL OF SPEECH PERCEPTION (1)
Double dissociations never license simple inferences about underlying brain organization, especially in developmental cases (2002) (1)
Neural Mechanisms for the Control and Monitoring of Memory: A Parallel Distributed Processing Perspective (2014) (1)
A Connectionist Account of the Pattern of Deficits Across Semantic and Lexical Tasks in Five Semantic Dementia Patients (2006) (1)
Zero-shot task adaptation by homoiconic meta-mapping (2019) (1)
A Connectionist View of Cognition Parallel Distributed Processing (2008) (1)
Solutions to Fodor's Problem of Concept Acquisition (2005) (1)
A weighted constraint satisfaction approach to human goal-directed decision making (2021) (1)
Integrating New Knowledge into a Neural Network without Catastrophic Interference: Computational and Theoretical Investigations in a Hierarchically Structured Environment (2019) (1)
Are theories necessary to constrain concepts ? (2003) (1)
Likelihood-free Bayesian analysis of neural network models (2013) (1)
Geometric Concept Acquisition in a Dueling Deep Q-Network (2017) (1)
Normal and impaired processing in quasi-regular domains of language: the case of English past-tense verbs (2000) (1)
Three Short Papers on Language and Connectionism (1987) (1)
Cognitive development (1998) (1)
N 400 amplitudes as change in a probabilistic representation of meaning : A neural network model (2017) (0)
SFILE CO ENCODING SEQUENTIAL STRUCTURE N IN SIMPLE RECURRENT NETWORKS (0)
Advisory Board and Contents (2020) (0)
Twenty-ninth Bartlett Lecture (2017) (0)
R. Duncan Luce (1925–2012) (2012) (0)
Tractable Learning of Probability Distributions Using the Contrastive Hebbian Algorithm (2019) (0)
Supplementary Information : A mathematical theory of semantic development in deep neural networks (2019) (0)
Are Dynamic Systems and Connectionist Approaches an Alternative to Good Old-Fashioned Cognitive Development? (2020) (0)
From symbols to analog magnitudes: A process model of fraction comparison, with fits to experimental data (2013) (0)
Investigating the effectiveness of a well‐managed hatchery as a tool for hawksbill sea turtle (Eretmochelys imbricata) conservation (2022) (0)
Likelihood-free Bayesian analysis of neural network models (2013) (0)
Errors and Illusory Conjunctions in Identifying Distal Stimuli (2013) (0)
Practical suggestions for the amendment of portions of the bankrupt law of Scotland : a paper read at the annual meeting of the Social Science Association, held in Edinburgh, October 7th, 1863 (0)
Connecting learning, memory, and representation in math education (2015) (0)
Neural responses decrease while performance increases with practice: A neural network model (2017) (0)
PSYCHOLOGICAL SCIENCE: The First 5 Years (1994) (0)
Interactive Activation Models of Perception and Comprehension. (1985) (0)
The Logic of Activation Functions (1987) (0)
How do we get from propositions to behavior? (2009) (0)
' The Artificial Intelligence and Psychology Project ' % : AUG 2 3 1 W 0 (0)
Chapter 5: Semantics Without Categorization (2009) (0)
How Experience Shapes Mathematical Intuitions: Computational Explorations (2015) (0)
About Computation in Cerebral Cortex (1986) (0)
Cognitive Science Meets Autonomous Mental Development (2010) (0)
Experience Dependence and Graded Organization of Semantic Representations: A Model of Association and Dissociation of Deficits in Semantic Dementia (2005) (0)
A neural network model of learning mathematical equivalence - eScholarship (2014) (0)
Vc Dimension Further Information 3.3 Optimization Algorithms 3 Learning from Data (1996) (0)
Social science and social schemes (2009) (0)
Running circles around symbol manipulation in trigonometry (2013) (0)
A CONNECTIONIST ACCOUNT OF SURFACE DYSLEXIA (1996) (0)
INTEGRATING NEW KNOWLEDGE WITHOUT CATASTROPHIC INTERFERENCE: COMPUTATIONAL AND THEORETICAL INVESTIGATIONS IN A HIERARCHICALLY STRUCTURED ENVIRONMENT (2020) (0)
Human-like learning Framework for frequency-skewed multi-level classification (2020) (0)
Artificial Intelligence and Psychology Project (1988) (0)
Lateral Inhibition Facilitates Sequential Learning in a Hippocampus-Inspired Auto-Associator (2022) (0)
Approach to Automaticity Principles of Information Processing Basic Aspects of Automaticity the Stroop Model (2005) (0)
Modelling the N400 brain potential as change in a probabilistic representation of meaning (2018) (0)
Anaesthetic management of pancreaticoduodenectomy in an infant. (1973) (0)
Retrospective. R. Duncan Luce (1925-2012). (2012) (0)
The Fiscal Problem, with Diagrams (2010) (0)
Distributed memory and the representation of general and specific information (2020) (0)
The Tenth Annual STANFORD UNDERGRADUATE PSYCHOLOGY CONFEFRENCE (2010) (0)
Symposium in Memory of Jeff Elman: Language Learning, Prediction, and Temporal Dynamics (2019) (0)
Emergence of Euclidean geometrical intuitions in hierarchical generative models (2016) (0)
Could the AI of Our Dreams Ever Become Reality? (2022) (0)
Toward a Graded Model of English Phonology (2004) (0)
Introduction to the Special Issue (2017) (0)
Explorer Concepts , control and context (2018) (0)
Initial Validation Results for the Arctic Coastal Erosion (ACE) Model. (2020) (0)
Skills or Content Results in Less, Not More Learning. (1979) (0)
Is there still a TRACE of trace? (2003) (0)
Combining monitoring data from multiple sites to assess population status and trends of White-tailed Tropicbirds (Phaethon lepturus) in the Seychelles (2021) (0)
Interaction of episodic and semantic memory in cued recall (2009) (0)
CHAPTER 2 Connectionist Models of Cognition (2007) (0)
Extending decision making models in the brain: multi-alternatives, nonlinearity and multiple goals/dimensions (2006) (0)
Making Extra- and Intra-Disciplinary Collaboration Work (2007) (0)
Land-to-ocean fluxes and biolability of organic matter eroding along the Beaufort Sea coast near Drew Point, Alaska (2021) (0)
Generalization by Neural Networks (1992) (0)
Abstracts of oral presentations, presented at the British Neuropsychological Society (BNS) spring meeting, April 2002, National Hospital, Queen Square, London, UK (2003) (0)
Intrusions into the shadow of attention: A new take on illusory conjunctions (2020) (0)
Learn Probability Distributions with The Contrastive Hebbian Algorithm. The Artificial Intelligence and Psychology Project (1991) (0)
Solutions to Fodor ’ s Puzzle of Concept Acquisition (2005) (0)
BOOK REVIEW (2000) (0)
The Depiction of Women in American Films: Creating a Balance. (1980) (0)
Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies (2020) (0)
Systematic human learning and generalization from a brief tutorial with explanatory feedback (2021) (0)
Can F3 be Used to Teach Japanese Adults /r/ and /I/? (2005) (0)
T 1 FILlE COPI C ) _ PARALLEL DISTRIBUTED PROCESSING : IMPLICATIONS FOR COGNITION (0)
Towards a Multiple Components Model of Human Memory: A Hippocampal-Cortical Memory Model of Encoding Specificity (2001) (0)
Information Factorization in Connectionist Models of Perception (1999) (0)
Awards for Distinguished Scientific Contributions. (2019) (0)
Young habits die hard: When hidden toys do not matter to 10-month-olds in the AB̄ task (1996) (0)
Bayesian statistics to test Bayes optimality (2018) (0)
Celebrating a decade of TiCS (2007) (0)
Modeling Number Sense Acquisition in A Number Board Game by Coordinating Verbal, Visual, and Grounded Action Components (2019) (0)
Cognitive consequences of structured education in a connectionist model of analogical reasoning (2020) (0)
Demonstration of the ACE (Arctic Coastal Erosion) model at Drew Point, AK during a permafrost bluff block collapse event in summer 2018. (2021) (0)
Special Issue: Cognition in Neuropsychiatric Disorders A neurocomputational approach to obsessive-compulsive disorder (2012) (0)
Amnesia and distrubuted memory (1986) (0)
LEARNING REPRESENT A TI 0 NS BY RECm CULA TION (1988) (0)
Can Connectionist Models the Symbol-processing (1992) (0)
"Of, By, and For the People": A History of Barbershop Harmony (1959) (0)
Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning (2022) (0)
Unintentional learning of sequential structure (1990) (0)
“ What ’ s so gay about a robed and bearded lounge singer in an Iron Maiden T-shirt ? ” (2011) (0)
A Neural Network Model for the Concurrent Perception of Multiple Objects (2011) (0)
CogSci 2008 30th Anniversary Symposia - eScholarship (2008) (0)
0 ADA 242 377 ; J 1 ( A COMPUTATIONAL MODEL OF SEMANTIC MEMORY IMPAIRMENT : MODALITY-SPECIFICITY AND EMERGENT CATEGORY-SPECIFICITY Technical Report AlP-147 (0)
Neural and Conceptual Interpretation of PDP Models (1987) (0)
Losing Grip: Emerson, Leroux and the Work of Identity (2005) (0)
Connectionist models of language comprehension (1992) (0)
Cognitive psychology: The way we were. (1978) (0)
J. L. McClelland & D. E. Rumelhart (eds.), - PhilPapers (1987) (0)
Information loss and mutual competition in perceptual choice (1998) (0)
Cognitive neuroscience: Emergence of mind from brain An introduction to the cognitive neuroscience series (2013) (0)
7 Appendix: Notes on the Data 5 Related Work 4 Cross-validation and Prior Knowledge 2.1.2 Test Suite 2 a Cross-validation Experiment (1993) (0)
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers (2022) (0)
. Introduction 1.1. the Wet Mind Approach (0)
Formation of categories for complex novel auditory stimuli (2002) (0)
A computational cognitive neuroscience perspective on word meaning in context (2018) (0)

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