| A Psychologically-Motivated Model of Opinion Change with Applications to American Politics P Duggins Journal of Artificial Societies and Social Simulation 20 (1), 2017 | 122 | 2017 |
| Chaos and dynamical complexity in the quantum to classical transition B Pokharel, MZR Misplon, W Lynn, P Duggins, K Hallman, D Anderson, ... Scientific reports 8 (1), 2108, 2018 | 36 | 2018 |
| The effects of guanfacine and phenylephrine on a spiking neuron model of working memory P Duggins, TC Stewart, X Choo, C Eliasmith Topics in cognitive science 9 (1), 117-134, 2017 | 9 | 2017 |
| Constructing functional models from biophysically-detailed neurons P Duggins, C Eliasmith PLoS Computational Biology 18 (9), e1010461, 2022 | 8 | 2022 |
| Incorporating biologically realistic neuron models into the NEF P Duggins University of Waterloo, 2017 | 6 | 2017 |
| A spiking neuron model of inferential decision making: Urgency, uncertainty, and the speed-accuracy tradeoff P Duggins, D Krzemiński, C Eliasmith, S Wichary | 3 | 2020 |
| Reinforcement learning, social value orientation, and decision making: Computational models and empirical validation P Duggins, TC Stewart, C Eliasmith Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 2 | 2022 |
| A scalable spiking amygdala model that explains fear conditioning, extinction, renewal and generalization P Duggins, C Eliasmith European Journal of Neuroscience, 2024 | | 2024 |
| Learning and Decision Making in Social Contexts: Neural and Computational Models P Duggins University of Waterloo, 2023 | | 2023 |
| Reinforcement Learning, Social Value Orientation, and Decision Making: Computational P Duggins, TC Stewart, C Eliasmith Proceedings of the Annual Meeting of the Cognitive Science Society, 44 (44), 2022 | | 2022 |
| Surprises In Computed Lyapunov Exponents Across The Quantum-Classical Transition A Pattanayak, P Duggins, K Hallman, D Anderson, A Kapulkin APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2013 …, 2013 | | 2013 |
| Dictatorships for Dummies: Understanding Political Dynamics and Decision-Making in Authoritarian Regimes using an Agent-based Computational Model P Duggins | | 2013 |
Chris EliasmithProfessor, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
