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The Parallel Episodic Processing (PEP) model 2.0 : a single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs

机译：并行情景处理（pEp）模型2.0：刺激 - 响应绑定，应急学习，功率曲线和混合成本的单一计算模型

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Schmidt James; De Houwer Jan; Rothermund Klaus;
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年度 2016
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1. The Parallel Episodic Processing (PEP) model 2.0: A single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs [J] . Schmidt James R., De Houwer Jan, Rothermund Klaus Cognitive Psychology . 2016,第Null期

机译：并行情节处理（PEP）模型2.0：刺激-响应绑定，偶发性学习，功率曲线和混合成本的单个计算模型
2. Computational modeling for parallel grid-based recursive Bayesian estimation: parallel computation using graphics processing unit [J] . Xianqiao Tong, Tomonari Furukawa, Hugh Durrant-Whyte Journal of Uncertainty Analysis and Applications . 2013,第1期

机译：基于并行网格的递归贝叶斯估计的计算建模：使用图形处理单元的并行计算
3. A single-trace dual-process model of episodic memory: a novel computational account of familiarity and recollection. [J] . Greve A, Donaldson DI, van Rossum MC Hippocampus . 2010,第2期

机译：情景记忆的单迹双过程模型：熟悉性和记忆性的新型计算方法。
4. Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments [C] . Gianluca Baldassarre, Francesco Mannella, Vieri Giuliano Santucci, Joint IEEE International Conference on Development and Learning and Epigenetic Robotics . 2018

机译：行动结果意外事件作为开放式学习的引擎：计算模型和开发实验
5. A New Class of Neural Architectures to Model Episodic Memory: Computational Studies of Distal Reward Learning. [D] . Taylor, Shawn E. 2012

机译：用于模拟情景记忆的新型神经体系结构：远距奖励学习的计算研究。
6. Investigation of Mediational Processes Using Parallel Process Latent Growth Curve Modeling [O] . JeeWon Cheong, David P. MacKinnon, Siek Toon Khoo -1

机译：使用并行过程潜在增长曲线建模研究中介过程
7. Computational modeling for parallel grid-based recursive Bayesian estimation: parallel computation using graphics processing unit [O] . 2013

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8. Multiprocessing Performance Models for Parallel Computation: Part II. Single Processor Transfers [R] . Aldabass, D. 1980

机译：并行计算的多处理性能模型：第二部分。单处理器传输

The Parallel Episodic Processing (PEP) model 2.0 : a single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs

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