Jonathan D. Cohen

CoRR, 2024

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Slot Abstractors: Toward Scalable Abstract Visual Reasoning.

[BibT_eX]

[DOI]

Shanka Subhra Mondal

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers.

[BibT_eX]

[DOI]

Awni Altabaa

Raghavendra Pradyumna Pothukuchi

John Lafferty

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2023

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction.

[BibT_eX]

[DOI]

CoRR, 2023

Quantum Cognitive Modeling: New Applications and Systems Research Directions.

[BibT_eX]

[DOI]

Bernardo Eilert Trevisan

Michael Tu

Mudi Yang

Ben Foxman

Viswanatha Srinivas Pothukuchi

Abhishek Bhattacharjee

CoRR, 2023

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Systematic Visual Reasoning through Object-Centric Relational Abstraction.

[BibT_eX]

[DOI]

Shanka Subhra Mondal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to reason over visual objects.

[BibT_eX]

[DOI]

Shanka Subhra Mondal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Beyond Transformers for Function Learning.

[BibT_eX]

[DOI]

Simon N. Segert

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Continuous and Discrete Transitions during Task-Switching.

[BibT_eX]

[DOI]

Harrison Ritz

William Wolf

Aleksandra Mroczko-Wasowicz

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Advances in the Study of Visual and Multisensory Objects.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

When to choose: Information seeking in the speed-accuracy tradeoff.

[BibT_eX]

[DOI]

Javier Alejandro Masís

David Melnikoff

Lisa Feldman Barrett

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

A Self-Supervised Framework for Function Learning and Extrapolation.

[BibT_eX]

[DOI]

Simon N. Segert

Trans. Mach. Learn. Res., 2022

RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI.

[BibT_eX]

[DOI]

Kenneth A. Norman

NeuroImage, 2022

Modularity benefits reinforcement learning agents with competing homeostatic drives.

[BibT_eX]

[DOI]

CoRR, 2022

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora.

[BibT_eX]

[DOI]

Marius Catalin Iordan

Cogn. Sci., 2022

Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.

[BibT_eX]

[DOI]

AI Mag., 2022

Using natural language and program abstractions to instill human inductive biases in machines.

[BibT_eX]

[DOI]

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

Maximum Entropy Function Learning.

[BibT_eX]

[DOI]

Simon N. Segert

Raghavendra Pradyumna Pothukuchi

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Distill: Domain-Specific Compilation for Cognitive Models.

[BibT_eX]

[DOI]

Ján Veselý

Ketaki Joshi

Samyak Gupta

Raghavendra Pradyumna Pothukuchi

Abhishek Bhattacharjee

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

2021

Cognac: Domain-Specific Compilation for Cognitive Models.

[BibT_eX]

[DOI]

Ján Veselý

Ketaki Joshi

Samyak Gupta

Abhishek Bhattacharjee

CoRR, 2021

Control of mental representations in human planning.

[BibT_eX]

[DOI]

CoRR, 2021

Emergent Symbols through Binding in External Memory.

[BibT_eX]

[DOI]

Ishan Sinha

Gregory Henselman-Petrusek

Proceedings of the 9th International Conference on Learning Representations, 2021

Meta-Learning of Structured Task Distributions in Humans and Machines.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Regression, encoding, control: an integrated approach to shared representations with distributed coding.

[BibT_eX]

[DOI]

Tyler Giallanza

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

Modelling the development of counting with memory-augmented neural networks.

[BibT_eX]

[DOI]

Zack Dulberg

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

2020

Multitasking Capacity: Hardness Results and Improved Constructions.

[BibT_eX]

[DOI]

SIAM J. Discret. Math., 2020

A Memory-Augmented Neural Network Model of Abstract Rule Learning.

[BibT_eX]

[DOI]

Ishan Sinha

CoRR, 2020

Learning Canonical Transformations.

[BibT_eX]

[DOI]

Zachary Dulberg

CoRR, 2020

Meta-Learning of Compositional Task Distributions in Humans and Machines.

[BibT_eX]

[DOI]

CoRR, 2020

Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

The Efficiency of Human Cognition Reflects Planned Information Processing.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Representations that Support Extrapolation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

A memory-augmented neural network model of abstract sequential reasoning.

[BibT_eX]

[DOI]

Ishan Sinha

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

A Novel Quantum Approach to the Dynamics of Decision Making.

[BibT_eX]

[DOI]

Lena Rosendahl

Anastasia S. Bizyaeva

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

Mental effort: One construct, many faces?

[BibT_eX]

[DOI]

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

Determinantal Point Processes for Memory and Structured Inference.

[BibT_eX]

[DOI]

Steven Frankland

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

People Do Not Just Plan, They Plan to Plan.

[BibT_eX]

[DOI]

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

2019

A tradeoff between generalization and perceptual capacity in recurrent neural networks.

[BibT_eX]

[DOI]

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

Asymmetric Switch Costs as a Function of Task Strength.

[BibT_eX]

[DOI]

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

Understanding interactions amongst cognitive control, learning and representation.

[BibT_eX]

[DOI]

Abigail Novick Hoskin

Matthew A. Lambon Ralph

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

Decomposing Individual Differences in Cognitive Control: A Model-Based Approach.

[BibT_eX]

[DOI]

Amitai Shenhav

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

A Mechanistic Account of Constraints on Control-Dependent Processing: Shared Representation, Conflict and Persistence.

[BibT_eX]

[DOI]

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

Stability-Flexibility Dilemma in Cognitive Control: A Dynamical System Perspective.

[BibT_eX]

[DOI]

Anastasia S. Bizyaeva

Shamay Agaron

Naomi Ehrich Leonard

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

Extracting and Utilizing Abstract, Structured Representations for Analogy.

[BibT_eX]

[DOI]

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

2018

Efficiency of learning vs. processing: Towards a normative theory of multitasking.

[BibT_eX]

[DOI]

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

Constraints associated with cognitive control and the stability-flexibility dilemma.

[BibT_eX]

[DOI]

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

Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls.

[BibT_eX]

[DOI]

Amitai Shenhav

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

Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity Judgments.

[BibT_eX]

[DOI]

Marius Catalin Iordan

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

Novel methods for measuring the cost of cognitive control in a patch foraging task and a demand selection task with Stroop.

[BibT_eX]

[DOI]

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

Matrix-normal models for fMRI analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Noise correlations in the human brain and their impact on pattern classification.

[BibT_eX]

[DOI]

Vikranth R. Bejjanki

Rava Azeredo da Silveira

PLoS Comput. Biol., 2017

A graph-theoretic approach to multitasking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Formal Approach to Modeling the Cost of Cognitive Control.

[BibT_eX]

[DOI]

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

Multitasking Capability Versus Learning Efficiency in Neural Network Architectures.

[BibT_eX]

[DOI]

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

Adaptive response priors in context-dependent decision-making.

[BibT_eX]

[DOI]

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

Mechanisms of overharvesting in patch foraging.

[BibT_eX]

[DOI]

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

2016

A Graph-Theoretic Approach to Multitasking.

[BibT_eX]

[DOI]

CoRR, 2016

Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures.

[BibT_eX]

[DOI]

Biswadip Dey

Kayhan Özcimder

Md. Mostofa Ali Patwary

Theodore L. Willke

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

Information-Seeking, Learning and the Marginal Value Theorem: A Normative Approach to Adaptive Exploration.

[BibT_eX]

[DOI]

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

Boredom, Information-Seeking and Exploration.

[BibT_eX]

[DOI]

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

Real-time full correlation matrix analysis of fMRI data.

[BibT_eX]

[DOI]

Theodore L. Willke

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors.

[BibT_eX]

[DOI]

Theodore L. Willke

Proceedings of the International Conference for High Performance Computing, 2015

A Theory of Decision Making Under Dynamic Context.

[BibT_eX]

[DOI]

Michael Shvartsman

Vaibhav Srivastava

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Optimality and Some of Its Discontents: Successes and Shortcomings of Existing Models for Binary Decisions.

[BibT_eX]

[DOI]

Philip Holmes

Top. Cogn. Sci., 2014

The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers.

[BibT_eX]

[DOI]

Matthew M. Botvinick

Cogn. Sci., 2014

Hierarchical topographic factor analysis.

[BibT_eX]

[DOI]

Jeremy R. Manning

Rajesh Ranganath

Waitsang Keung

Kenneth A. Norman

David M. Blei

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013

Confounds in multivariate pattern analysis: Theory and rule representation case study.

[BibT_eX]

[DOI]

Michael T. Todd

Leigh E. Nystrom

NeuroImage, 2013

2012

A Decision Task in a Social Context: Human Experiments, Models, and Analyses of Behavioral Data.

[BibT_eX]

[DOI]

Proc. IEEE, 2012

2011

Errors of interpretation and modeling: A reply to Grinband et al.

[BibT_eX]

[DOI]

Nick Yeung

Matthew M. Botvinick

NeuroImage, 2011

Parametric Manipulation of the Conflict Signal and Control-state Adaptation.

[BibT_eX]

[DOI]

J. Cogn. Neurosci., 2011

Finding neural correlates of drift diffusion processes in EEG oscillations.

[BibT_eX]

[DOI]

Marieke K. van Vugt

Patrick Simen

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

2009

Sequential Effects in Two-Choice Reaction Time Tasks: Decomposition and Synthesis of Mechanisms.

[BibT_eX]

[DOI]

Neural Comput., 2009

2008

Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus.

[BibT_eX]

[DOI]

Eric Shea-Brown

Mark S. Gilzenrat

Neural Comput., 2008

A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting.

[BibT_eX]

[DOI]

Yuan Sophie Liu

Philip Holmes

Neural Comput., 2008

Sequential effects: Superstition or rational behavior?

[BibT_eX]

[DOI]

Angela J. Yu

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement.

[BibT_eX]

[DOI]

Michael T. Todd

Yael Niv

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A simple decision task in a social context: Experiments, a model, and preliminary analyses of behavioral data.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2006

Rapid decision threshold modulation by reward rate in a neural network.

[BibT_eX]

[DOI]

Patrick Simen

Philip Holmes

Neural Networks, 2006

2005

Simple Neural Networks that Optimize Decisions.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2005

Optimal Decisions: From Neural Spikes, through Stochastic Differential Equations, to Behavior.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005

An exploration-exploitation model based on norepinepherine and dopamine activity.

[BibT_eX]

[DOI]

Samuel McClure

Mark S. Gilzenrat

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

The neural correlates of theory of mind within interpersonal interactions.

[BibT_eX]

[DOI]

NeuroImage, 2004

2003

Fiswidgets - A graphical computing environment for neuroimaging analysis.

[BibT_eX]

[DOI]

Neuroinformatics, 2003

2002

Simplified dynamics in a model of noradrenergic modulation of cognitive performance.

[BibT_eX]

[DOI]

Neural Networks, 2002

Hyperscanning: Simultaneous fMRI during Linked Social Interactions.

[BibT_eX]

[DOI]

NeuroImage, 2002

2001

Anterior Cingulate Cortex, Conflict Monitoring, and Levels of Processing.

[BibT_eX]

[DOI]

NeuroImage, 2001

1997

Online Analysis of Functional MRI Datasets on Parallel Platforms.

[BibT_eX]

[DOI]

Christopher R. Genovese

Douglas C. Noll

Leigh E. Nystrom

J. Supercomput., 1997

1994

A Computational Model of Prefrontal Cortex Function.

[BibT_eX]

[DOI]

Todd S. Braver

David Servan-Schreiber

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1989

The Effect of Catecholamines on Performance: From Unit to System Behavior.

[BibT_eX]

[DOI]

David Servan-Schreiber

Harry Printz