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A hierarchical Bayesian model of "memory for when" based on experience sampling data.

, , , , , and . CogSci, cognitivesciencesociety.org, (2017)

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Learning Affects Strategic Processing on Raven's Advanced Progressive Matrices., , and . CogSci, cognitivesciencesociety.org, (2011)Binary linear classification and feature selection via generalized approximate message passing., , and . CISS, page 1-6. IEEE, (2014)A hierarchical Bayesian model of "memory for when" based on experience sampling data., , , , , and . CogSci, cognitivesciencesociety.org, (2017)A neural network model of hippocampally mediated trace conditioning., and . ICNN, page 372-376. IEEE, (1997)A Bayesian framework for simultaneously modeling neural and behavioral data., , , , , and . NeuroImage, (2013)A Bayesian Analysis of Dynamics in Free Recall., , , , , and . NIPS, page 1714-1722. Curran Associates, Inc., (2009)Representing Latent Dimensions Using Compressed Number Lines., , , , , , and . IJCNN, page 1-10. IEEE, (2023)DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales., , , and . NeurIPS, page 27530-27541. (2021)A deep convolutional neural network that is invariant to time rescaling., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9729-9738. PMLR, (2022)Estimating Scale-Invariant Future in Continuous Time., , , and . Neural Comput., (2019)