David C. Noelle - researchr alias

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Viewing Publication 1 - 36 from 36

2024

Introduction to Progress and Puzzles of Cognitive ScienceRick Dale, Ruth M. J. Byrne, Emma Cohen, Ophelia Deroy, Samuel J. Gershman, Janet H. Hsiao, Ping Li, Padraic Monaghan, David C. Noelle, Iris van Rooij, Priti Shah, Michael J. Spivey, Sashank Varma. cogsci, 48(7), July 2024. [doi]

2020

End-To-End Auditory Object Recognition Via Inception NucleusMohammad K. Ebrahimpour, Timothy M. Shea, Andreea Danielescu, David C. Noelle, Christopher T. Kello. icassp 2020: 146-150 [doi]

WW-Nets: Dual Neural Networks for Object DetectionMohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang 0001, David C. Noelle. ijcnn 2020: 1-8 [doi]

2019

Do Humans Look Where Deep Convolutional Neural Networks "Attend"?Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, David C. Noelle. isvc 2019: 53-65 [doi]

Fast Object Localization via Sensitivity AnalysisMohammad K. Ebrahimpour, David C. Noelle. isvc 2019: 209-220 [doi]

Do Humans Look Where Deep Convolutional Neural Networks "Attend"?Mohammad K. Ebrahimpour, James Falandays, Samuel Spevack, David C. Noelle. cogsci 2019: 3448 [doi]

Ventral-Dorsal Neural Networks: Object Detection Via Selective AttentionMohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson Reesee, Azadeh Moghtaderi, Ming-Hsuan Yang 0001, David C. Noelle. wacv 2019: 986-994 [doi]

Affordance Compatibility Effect for Word Learning in Virtual RealityChelsea Gordon, Timothy M. Shea, David C. Noelle, Ramesh Balasubramaniam. cogsci, 43(6), 2019. [doi]

Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement LearningJacob Rafati, David C. Noelle. AAAI 2019: 17-25 [doi]

Learning Representations in Model-Free Hierarchical Reinforcement LearningJacob Rafati, David C. Noelle. AAAI 2019: 10009-10010 [doi]

2018

A Conceptual Ladder from Spikes to Behavior: Toward the Neural Basis of Dynamic Choices at Multiple ScalesTimothy M. Shea, David C. Noelle. cogsci 2018: [doi]

Automated Plagiarism Detection for Computer Programming Exercises Based on Patterns of ResubmissionNarjes Tahaei, David C. Noelle. icer 2018: 178-186 [doi]

2015

Topological Dependence of Rate Code StabilityWilliam B. St. Clair, David C. Noelle. cogsci 2015: [doi]

Implications of polychronous neuronal groups for the continuity of mindWilliam Benjamin St. Clair, David C. Noelle. cp, 16(4):319-323, 2015. [doi]

A Case-Based Reasoning Approach to Providing High-Quality Feedback on Computer Programming ExercisesAngelo Kyrilov, David C. Noelle. cogsci 2015: [doi]

Binary instant feedback on programming exercises can reduce student engagement and promote cheatingAngelo Kyrilov, David C. Noelle. kolicalling 2015: 122-126 [doi]

Lateral Inhibition Overcomes Limits of Temporal Difference LearningJacob Rafati, David C. Noelle. cogsci 2015: [doi]

Modeling the Role of Hippocampus in Extinction and Spontaneous RecoveryJeffrey Rodny, David C. Noelle. cogsci 2015: [doi]

Neuronal Dynamics and Spatial ForagingTimothy Shea, Anne S. Warlaumont, Christopher T. Kello, David C. Noelle. cogsci 2015: [doi]

2014

Robotic Learning Of The Delayed Saccade Task Using A Neurally Inspired Adaptive Working Memory SystemDavid C. Noelle, Justin Ray. cogsci 2014: [doi]

2013

Implications of Polychronous Neuronal Groups for the Nature of Mental RepresentationsWilliam B. St. Clair, David C. Noelle. cogsci 2013: [doi]

Automatic formative assessment of exercises on knowledge representation in first-order logicAngelo Kyrilov, David C. Noelle. iticse 2013: 343 [doi]

Approximating the Value Function in the Actor Critic Architecture using the Temporal Dynamics of Spiking Neural NetworksJeffrey Rodny, David C. Noelle. cogsci 2013: [doi]

2011

2009

PrefaceAlexei V. Samsonovich, David C. Noelle, Shane T. Mueller. aaaifs 2009: [doi]

2008

Function Follows Form: Biologically Guided Functional Decomposition of Memory SystemsDavid C. Noelle. aaaifs 2008: 135-139 [doi]

2007

A Dual-Pathway Neural Network Model of Control Relinquishment in Motor Skill LearningAshish Gupta, David C. Noelle. IJCAI 2007: 405-410 [doi]

2005

Neurocomputational Mechanisms for Generalization During the Sequential Learning of Multiple TasksAshish Gupta, David C. Noelle. iicai 2005: 2699-2711

A biologically inspired working memory framework for robotsJoshua L. Phillips, David C. Noelle. ro-man 2005: 599-604 [doi]

1996

A Connectionist Model of Instructed LearningDavid C. Noelle. AAAI 1996: 1368

1994

Integrating Induction & Instruction: Connectionist Advice TakingDavid C. Noelle, Garrison W. Cottrell. AAAI 1994: 1481

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