James L. McClelland

Trans. Mach. Learn. Res., 2023

Causal interventions expose implicit situation models for commonsense language understanding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A weighted constraint satisfaction approach to human goal-directed decision making.

[BibT_eX]

[DOI]

Yuxuan Li

PLoS Comput. Biol., 2022

Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Reason With Relational Abstractions.

[BibT_eX]

[DOI]

CoRR, 2022

Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks.

[BibT_eX]

[DOI]

Yuxuan Li

CoRR, 2022

Language models show human-like content effects on reasoning.

[BibT_eX]

[DOI]

CoRR, 2022

Data Distributional Properties Drive Emergent In-Context Learning in Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tell me why! Explanations support learning relational and causal structure.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Can language models learn from explanations in context?

[BibT_eX]

[DOI]

Michael Henry Tessler

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

What underlies rapid learning and systematic generalization in humans.

[BibT_eX]

[DOI]

Andrew Joohun Nam

CoRR, 2021

Are people still smarter than machines? If so, why?

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Transforming task representations to perform novel tasks.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2020

Transforming task representations to allow deep learning models to perform novel tasks.

[BibT_eX]

[DOI]

CoRR, 2020

Emerging Representations for Counting in a Neural Network Agent Interacting with a Multimodal Environment.

[BibT_eX]

[DOI]

Silvester Sabathiel

Trygve Solstad

Proceedings of the 2020 Conference on Artificial Life, 2020

Environmental drivers of systematicity and generalization in a situated agent.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Human-like learning Framework for frequency-skewed multi-level classification.

[BibT_eX]

[DOI]

Amarjot Singh

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

A computational model of learning to count in a multimodal, interactive environment.

[BibT_eX]

[DOI]

Silvester Sabathiel

Trygve Solstad

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Cognitive consequences of structured education in a connectionist model of analogical reasoning.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Generative Continual Concept Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Developing the knowledge of number digits in a child-like robot.

[BibT_eX]

[DOI]

Alessandro G. Di Nuovo

Nat. Mach. Intell., 2019

Extending Machine Language Models toward Human-Level Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2019

Emergent Systematic Generalization in a Situated Agent.

[BibT_eX]

[DOI]

CoRR, 2019

Embedded Meta-Learning: Toward more flexible deep-learning models.

[BibT_eX]

[DOI]

CoRR, 2019

Modeling Number Sense Acquisition in A Number Board Game by Coordinating Verbal, Visual, and Grounded Action Components.

[BibT_eX]

[DOI]

Arianna Yuan

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Symposium in Memory of Jeff Elman: Language Learning, Prediction, and Temporal Dynamics.

[BibT_eX]

[DOI]

Ken McRae

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Distinct Representations of Magnitude and Spatial Position within Parietal Cortex during Number-Space Mapping.

[BibT_eX]

[DOI]

Frank J. Kanayet

Andrew Mattarella-Micke

J. Cogn. Neurosci., 2018

A mathematical theory of semantic development in deep neural networks.

[BibT_eX]

[DOI]

Surya Ganguli

CoRR, 2018

Can a Recurrent Neural Network Learn to Count Things?

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Can Generic Neural Networks Estimate Numerosity Like Humans?

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

One-shot and few-shot learning of word embeddings.

[BibT_eX]

[DOI]

CoRR, 2017

Neural responses decrease while performance increases with practice: A neural network model.

[BibT_eX]

[DOI]

Milena Rabovsky

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Analogies Emerge from Learning Dyamics in Neural Networks.

[BibT_eX]

[DOI]

Shaw Hsu

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Geometric Concept Acquisition in a Dueling Deep Q-Network.

[BibT_eX]

[DOI]

Alex Kuefler

Mykel J. Kochenderfer

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Emergence of Euclidean geometrical intuitions in hierarchical generative models.

[BibT_eX]

[DOI]

Arianna Yuan

Te-Lin Wu

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model.

[BibT_eX]

[DOI]

Milena Rabovsky

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Tutorial Workshop on Contemporary Deep Neural Network Models.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Connecting learning, memory, and representation in math education.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

[BibT_eX]

[DOI]

Surya Ganguli

Proceedings of the 2nd International Conference on Learning Representations, 2014

Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition.

[BibT_eX]

[DOI]

Timothy T. Rogers

Cogn. Sci., 2014

Interactive Activation and Mutual Constraint Satisfaction in Perception and Cognition.

[BibT_eX]

[DOI]

Cogn. Sci., 2014

A neural network model of learning mathematical equivalence.

[BibT_eX]

[DOI]

Kevin W. Mickey

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Two Plus Three Is Five: Discovering Efficient Addition Strategies without Metacognition.

[BibT_eX]

[DOI]

Cameron R. L. McKenzie

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Why Bilateral Damage Is Worse than Unilateral Damage to the Brain.

[BibT_eX]

[DOI]

Matthew A. Lambon Ralph

J. Cogn. Neurosci., 2013

A Differentiation Account of Recognition Memory: Evidence from fMRI.

[BibT_eX]

[DOI]

Amy H. Criss

Mark E. Wheeler

J. Cogn. Neurosci., 2013

Progressive Development of the Number Sense in a Deep Neural Network.

[BibT_eX]

[DOI]

Will Y. Zou

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Learning hierarchical categories in deep neural networks.

[BibT_eX]

[DOI]

Surya Ganguli

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Running circles around symbol manipulation in trigonometry.

[BibT_eX]

[DOI]

Kevin W. Mickey

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

From symbols to analog magnitudes: A process model of fraction comparison, with fits to experimental data.

[BibT_eX]

[DOI]

Cameron R. L. McKenzie

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2011

Predicting native English-like performance by native Japanese speakers.

[BibT_eX]

[DOI]

Erin M. Ingvalson

Lori L. Holt

J. Phonetics, 2011

A PDP model of the simultaneous perception of multiple objects.

[BibT_eX]

[DOI]

Cynthia M. Henderson

Connect. Sci., 2011

Estimating the strength of unlabeled information during semi-supervised learning.

[BibT_eX]

[DOI]

Brenden M. Lake

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Emergence in Cognitive Science.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2010

Cognitive Science Meets Autonomous Mental Development.

[BibT_eX]

[DOI]

Cogn. Sci., 2010

2009

The Place of Modeling in Cognitive Science.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2009

Modeling Unsupervised Perceptual Category Learning.

[BibT_eX]

[DOI]

Brenden M. Lake

Gautam K. Vallabha

IEEE Trans. Auton. Ment. Dev., 2009

Is a Machine Realization of Truly Human-Like Intelligence Achievable?

[BibT_eX]

[DOI]

Cogn. Comput., 2009

2008

Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms.

[BibT_eX]

[DOI]

Cogn. Sci., 2008

2007

Guest Editorial: Convergent Approaches to the Understanding of Autonomous Mental Development.

[BibT_eX]

[DOI]

Kim Plunkett

Juyang Weng

IEEE Trans. Evol. Comput., 2007

2006

Performance Feedback Drives Caudate Activation in a Phonological Learning Task.

[BibT_eX]

[DOI]

J. Cogn. Neurosci., 2006

2005

Dissociating Reading Processes on the Basis of Neuronal Interactions.

[BibT_eX]

[DOI]

Matthew A. Lambon Ralph

Karalyn Patterson

Cathy J. Price

J. Cogn. Neurosci., 2005

2000

Normal and impaired processing in quasi-regular domains of language: the case of English past-tense verbs.

[BibT_eX]

[DOI]

Karalyn Patterson

Matthew A. Lambon Ralph

Helen Bird

John R. Hodges

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999

Information Factorization in Connectionist Models of Perception.

[BibT_eX]

[DOI]

Javier R. Movellan

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1997

A Hippocampal Model of Recognition Memory.

[BibT_eX]

[DOI]

Randall C. O'Reilly

Kenneth A. Norman

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1993

Learning Continuous Probability Distributions with Symmetric Diffusion Networks.

[BibT_eX]

[DOI]

Javier R. Movellan

Cogn. Sci., 1993

1991

Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks.

[BibT_eX]

[DOI]

David Servan-Schreiber

Axel Cleeremans

Mach. Learn., 1991

1990

Learning and Applying Contextual Constraints in Sentence Comprehension.

[BibT_eX]

[DOI]

Mark F. St. John

Artif. Intell., 1990

Distributed Representations.

[BibT_eX]

Geoffrey E. Hinton

David E. Rumelhart

Proceedings of the Philosophy of Artificial Intelligence., 1990

1989

Finite State Automata and Simple Recurrent Networks.

[BibT_eX]

[DOI]

Axel Cleeremans

David Servan-Schreiber

Neural Comput., 1989

Connectionist Models of Language.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Parsing Technologies, 1989

1988

Learning Subsequential Structure in Simple Recurrent Networks.

[BibT_eX]

[DOI]

David Servan-Schreiber

Axel Cleeremans

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

1987

Parallel Distributed Processing and Role Assignment Constraints.

[BibT_eX]

[DOI]

Proceedings of the Theoretical Issues in Natural Language Processing 3, 1987

Learning Representations by Recirculation.

[BibT_eX]

[DOI]

Geoffrey E. Hinton

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

1985

Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly.

[BibT_eX]

[DOI]