David C. Noelle

Orcid: 0000-0003-3141-5658

Affiliations:
  • University of California, Merced, CA, USA


According to our database1, David C. Noelle authored at least 43 papers between 1994 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
InfantNet: A Deep Neural Network for Analyzing Infant Vocalizations.
CoRR, 2020

Ventral-Dorsal Neural Networks: Object Detection via Selective Attention.
CoRR, 2020

WW-Nets: Dual Neural Networks for Object Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

End-To-End Auditory Object Recognition Via Inception Nucleus.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning.
CoRR, 2019

Learning sparse representations in reinforcement learning.
CoRR, 2019

Affordance Compatibility Effect for Word Learning in Virtual Reality.
Cogn. Sci., 2019

Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Fast Object Localization via Sensitivity Analysis.
Proceedings of the Advances in Visual Computing, 2019

Do Humans Look Where Deep Convolutional Neural Networks "Attend"?
Proceedings of the Advances in Visual Computing, 2019

Learning Representations in Model-Free Hierarchical Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning.
Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence, 2019

2018
Automated Plagiarism Detection for Computer Programming Exercises Based on Patterns of Resubmission.
Proceedings of the 2018 ACM Conference on International Computing Education Research, 2018

A Conceptual Ladder from Spikes to Behavior: Toward the Neural Basis of Dynamic Choices at Multiple Scales.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Indirection Explains Flexible Tuning of Neurons in Prefrontal Cortex.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Toward a Simulation Platform for Comparing Computational Cognitive Neuroscience Models.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Implications of polychronous neuronal groups for the continuity of mind.
Cogn. Process., 2015

Using Automated Theorem Provers to Teach Knowledge Representation in First-Order Logic.
CoRR, 2015

Binary instant feedback on programming exercises can reduce student engagement and promote cheating.
Proceedings of the 15th Koli Calling Conference on Computing Education Research, 2015

Neuronal Dynamics and Spatial Foraging.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Modeling the Role of Hippocampus in Extinction and Spontaneous Recovery.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Lateral Inhibition Overcomes Limits of Temporal Difference Learning.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

A Case-Based Reasoning Approach to Providing High-Quality Feedback on Computer Programming Exercises.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Topological Dependence of Rate Code Stability.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Robotic Learning Of The Delayed Saccade Task Using A Neurally Inspired Adaptive Working Memory System.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Automatic formative assessment of exercises on knowledge representation in first-order logic.
Proceedings of the Innovation and Technology in Computer Science Education conference 2013, 2013

Approximating the Value Function in the Actor Critic Architecture using the Temporal Dynamics of Spiking Neural Networks.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Implications of Polychronous Neuronal Groups for the Nature of Mental Representations.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2011
A Cognitive Model for Generalization during Sequential Learning.
J. Robotics, 2011

A dual association model for the extinction of animal conditioning.
Neurocomputing, 2011

Generalisation benefits of output gating in a model of prefrontal cortex.
Connect. Sci., 2011

Asymmetric Intercortical Projections Support The Learning Of Temporal Associations.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Interacting Complementary Learning Systems in Brains and Machines.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

On a Roadmap to Biologically Inspired Cognitive Agents.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2009
Preface.
Proceedings of the Biologically Inspired Cognitive Architectures, 2009

2008
Function Follows Form: Biologically Guided Functional Decomposition of Memory Systems.
Proceedings of the Biologically Inspired Cognitive Architectures, 2008

2007
A Dual-Pathway Neural Network Model of Control Relinquishment in Motor Skill Learning.
Proceedings of the IJCAI 2007, 2007

2005
Working memory and perception.
Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2005

A biologically inspired working memory framework for robots.
Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2005

Neurocomputational Mechanisms for Generalization During the Sequential Learning of Multiple Tasks.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004
A Biologically Inspired Adaptive Working Memory for Robots.
Proceedings of the Intersection of Cognitive Science and Robotics: From Interfaces to Intelligence, 2004

1996
A Connectionist Model of Instructed Learning.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1994
Integrating Induction & Instruction: Connectionist Advice Taking.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994


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