David C. Noelle

53 papers A* 3A 2B 21Misc 1Journal 15Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Adaptive Attention and Memory in Multi-Option Multi-Feature Decision Making. CogSci Hoshmand Malaie, Rebecca Sullivan, David C. Noelle
2025	B	`conf`	The Role of Context Gating in Predictive Sentence Processing. CogSci Yasemin Gokcen, David C. Noelle, Rachel Ryskin
2024	J	`jnl`	Introduction to Progress and Puzzles of Cognitive Science. Cogn. Sci. Rick 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
2024	B	`conf`	The Emergence of Utility from Episodic Memory in a Model of Decision-Making Under Risk. CogSci Rebecca Sullivan, Hoshmand Malaie, David C. Noelle
2020	Misc	`conf`	End-To-End Auditory Object Recognition Via Inception Nucleus. ICASSP Mohammad K. Ebrahimpour, Timothy M. Shea, Andreea Danielescu, David C. Noelle, Christopher T. Kello
2020	J	`jnl`	End-to-End Auditory Object Recognition via Inception Nucleus. CoRR Mohammad K. Ebrahimpour, Timothy M. Shea, Andreea Danielescu, David C. Noelle, Christopher T. Kello
2020	J	`jnl`	InfantNet: A Deep Neural Network for Analyzing Infant Vocalizations. CoRR Mohammad K. Ebrahimpour, Sara Schneider, David C. Noelle, Christopher T. Kello
2020	J	`jnl`	Ventral-Dorsal Neural Networks: Object Detection via Selective Attention. CoRR Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson L. Reese, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle
2020	B	`conf`	WW-Nets: Dual Neural Networks for Object Detection. IJCNN Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle
2020	J	`jnl`	WW-Nets: Dual Neural Networks for Object Detection. CoRR Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle
2019	J	`jnl`	Affordance Compatibility Effect for Word Learning in Virtual Reality. Cogn. Sci. Chelsea Gordon, Timothy M. Shea, David C. Noelle, Ramesh Balasubramaniam
2019	B	`conf`	Do Humans Look Where Deep Convolutional Neural Networks "Attend"? CogSci Mohammad K. Ebrahimpour, James Falandays, Samuel Spevack, David C. Noelle
2019	—	`conf`	Do Humans Look Where Deep Convolutional Neural Networks "Attend"? ISVC (2) Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, David C. Noelle
2019	J	`jnl`	Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning. CoRR Jacob Rafati, David C. Noelle
2019	—	`conf`	Fast Object Localization via Sensitivity Analysis. ISVC (2) Mohammad K. Ebrahimpour, David C. Noelle
2019	A*	`conf`	Learning Representations in Model-Free Hierarchical Reinforcement Learning. AAAI Jacob Rafati, David C. Noelle
2019	J	`jnl`	Learning sparse representations in reinforcement learning. CoRR Jacob Rafati, David C. Noelle
2019	—	`conf`	Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning. KEG@AAAI Jacob Rafati, David C. Noelle
2019	A	`conf`	Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention. WACV Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson Reesee, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle
2018	B	`conf`	A Conceptual Ladder from Spikes to Behavior: Toward the Neural Basis of Dynamic Choices at Multiple Scales. CogSci Timothy M. Shea, David C. Noelle
2018	A	`conf`	Automated Plagiarism Detection for Computer Programming Exercises Based on Patterns of Resubmission. ICER Narjes Tahaei, David C. Noelle
2018	J	`jnl`	Learning Representations in Model-Free Hierarchical Reinforcement Learning. CoRR Jacob Rafati, David C. Noelle
2017	B	`conf`	Indirection Explains Flexible Tuning of Neurons in Prefrontal Cortex. CogSci David C. Noelle
2016	J	`jnl`	Do students need detailed feedback on programming exercises and can automated assessment systems provide it? J. Comput. Sci. Coll. Angelo Kyrilov, David C. Noelle
2016	B	`conf`	Toward a Simulation Platform for Comparing Computational Cognitive Neuroscience Models. CogSci David C. Noelle
2015	B	`conf`	A Case-Based Reasoning Approach to Providing High-Quality Feedback on Computer Programming Exercises. CogSci Angelo Kyrilov, David C. Noelle
2015	—	`conf`	Binary instant feedback on programming exercises can reduce student engagement and promote cheating. Koli Calling Angelo Kyrilov, David C. Noelle
2015	J	`jnl`	Implications of polychronous neuronal groups for the continuity of mind. Cogn. Process. William Benjamin St. Clair, David C. Noelle
2015	B	`conf`	Lateral Inhibition Overcomes Limits of Temporal Difference Learning. CogSci Jacob Rafati, David C. Noelle
2015	B	`conf`	Modeling the Role of Hippocampus in Extinction and Spontaneous Recovery. CogSci Jeffrey Rodny, David C. Noelle
2015	B	`conf`	Neuronal Dynamics and Spatial Foraging. CogSci Timothy M. Shea, Anne S. Warlaumont, Christopher T. Kello, David C. Noelle
2015	B	`ed.`	Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015, Pasadena, California, USA, July 22-25, 2015 CogSci David C. Noelle, Rick Dale, Anne S. Warlaumont, Jeff Yoshimi, Teenie Matlock, Carolyn D. Jennings, Paul P. Maglio
2015	B	`conf`	Topological Dependence of Rate Code Stability. CogSci William Benjamin St. Clair, David C. Noelle
2015	J	`jnl`	Using Automated Theorem Provers to Teach Knowledge Representation in First-Order Logic. CoRR Angelo Kyrilov, David C. Noelle
2014	B	`conf`	Robotic Learning Of The Delayed Saccade Task Using A Neurally Inspired Adaptive Working Memory System. CogSci David C. Noelle, Justin Ray
2013	B	`conf`	Approximating the Value Function in the Actor Critic Architecture using the Temporal Dynamics of Spiking Neural Networks. CogSci Jeffrey Rodny, David C. Noelle
2013	B	`conf`	Automatic formative assessment of exercises on knowledge representation in first-order logic. ITiCSE Angelo Kyrilov, David C. Noelle
2013	B	`conf`	Implications of Polychronous Neuronal Groups for the Nature of Mental Representations. CogSci William Benjamin St. Clair, David C. Noelle
2011	J	`jnl`	A Cognitive Model for Generalization during Sequential Learning. J. Robotics Ashish Gupta, Lovekesh Vig, David C. Noelle
2011	J	`jnl`	A dual association model for the extinction of animal conditioning. Neurocomputing Ashish Gupta, Lovekesh Vig, David C. Noelle
2011	B	`conf`	Asymmetric Intercortical Projections Support The Learning Of Temporal Associations. CogSci William Benjamin St. Clair, David C. Noelle
2011	J	`jnl`	Generalisation benefits of output gating in a model of prefrontal cortex. Connect. Sci. Trent Kriete, David C. Noelle
2011	—	`conf`	Interacting Complementary Learning Systems in Brains and Machines. BICA David C. Noelle
2011	—	`conf`	On a Roadmap to Biologically Inspired Cognitive Agents. BICA Antonio Chella, Christian Lebiere, David C. Noelle, Alexei V. Samsonovich
2009	—	`conf`	Preface. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Alexei V. Samsonovich, David C. Noelle, Shane T. Mueller
2008	—	`conf`	Function Follows Form: Biologically Guided Functional Decomposition of Memory Systems. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures David C. Noelle
2007	A*	`conf`	A Dual-Pathway Neural Network Model of Control Relinquishment in Motor Skill Learning. IJCAI Ashish Gupta, David C. Noelle
2005	B	`conf`	A biologically inspired working memory framework for robots. RO-MAN Joshua L. Phillips, David C. Noelle
2005	—	`conf`	Neurocomputational Mechanisms for Generalization During the Sequential Learning of Multiple Tasks. IICAI Ashish Gupta, David C. Noelle
2005	B	`conf`	Working memory and perception. RO-MAN D. Mitchell Wilkes, Mert Tugcu, Jonathan E. Hunter, David C. Noelle
2004	—	`conf`	A Biologically Inspired Adaptive Working Memory for Robots. AAAI Technical Report (5) Marjorie Skubic, David C. Noelle, D. Mitch Wilkes, Kazuhiko Kawamura, James M. Keller
1996	—	`conf`	A Connectionist Model of Instructed Learning. AAAI/IAAI, Vol. 2 David C. Noelle
1994	A*	`conf`	Integrating Induction & Instruction: Connectionist Advice Taking. AAAI David C. Noelle, Garrison W. Cottrell