A neural network model of hippocampally mediated trace conditioning. - William B. Levy; Per B. Sederberg (ICNN, 1997)

Oscillatory correlates of the primacy effect in episodic memory. - Per B. Sederberg; Lynne V. Gauthier; Vitaly Terushkin; Jonathan F. Miller; Julia A. Barnathan; Michael J. Kahana (NeuroImage, 2006)

A Bayesian Analysis of Dynamics in Free Recall. - Richard Socher; Samuel Gershman; Adler J. Perotte; Per B. Sederberg; David M. Blei; Kenneth A. Norman (NIPS, 2009)

PyMVPA: a unifying approach to the analysis of neuroscientific data. - Michael Hanke; Yaroslav O. Halchenko; Per B. Sederberg; Emanuele Olivetti; Ingo Fründ; Jochem W. Rieger; Christoph S. Herrmann; James V. Haxby; Stephen José Hanson; Stefan Pollmann (Frontiers Neuroinformatics, 2009)

PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data. - Michael Hanke; Yaroslav O. Halchenko; Per B. Sederberg; Stephen José Hanson; James V. Haxby; Stefan Pollmann (Neuroinformatics, 2009)

The Successor Representation and Temporal Context. - Samuel Gershman; Christopher D. Moore; Michael T. Todd; Kenneth A. Norman; Per B. Sederberg (Neural Comput., 2012)

A Bayesian framework for simultaneously modeling neural and behavioral data. - Brandon M. Turner; Birte U. Forstmann; Eric-Jan Wagenmakers; Scott D. Brown; Per B. Sederberg; Mark Steyvers (NeuroImage, 2013)

Decomposing spatiotemporal brain patterns into topographic latent sources. - Samuel Gershman; David M. Blei; Kenneth A. Norman; Per B. Sederberg (NeuroImage, 2014)

Brain rhythms in mental time travel. - Sean M. Polyn; Per B. Sederberg (NeuroImage, 2014)

Trial-level information for individual faces in the fusiform face area depends on subsequent memory. - Adam E. Hasinski; Per B. Sederberg (NeuroImage, 2016)

Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world. - Tyler A. Spears; Brandon G. Jacques; Marc W. Howard; Per B. Sederberg (CoRR, 2017)

Estimating Scale-Invariant Future in Continuous Time. - Zoran Tiganj; Samuel J. Gershman; Per B. Sederberg; Marc W. Howard (Neural Comput., 2019)

DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. - Brandon G. Jacques; Zoran Tiganj; Marc W. Howard; Per B. Sederberg (NeurIPS, 2021)

SITHCon: A neural network robust to variations in input scaling on the time dimension. - Brandon G. Jacques; Zoran Tiganj; Aakash Sarkar; Marc W. Howard; Per B. Sederberg (CoRR, 2021)

A deep convolutional neural network that is invariant to time rescaling. - Brandon G. Jacques; Zoran Tiganj; Aakash Sarkar; Marc W. Howard; Per B. Sederberg (ICML, 2022)

Representing Latent Dimensions Using Compressed Number Lines. - Sahaj Singh Maini; James Mochizuki-Freeman; Chirag Shankar Indi; Brandon G. Jacques; Per B. Sederberg; Marc W. Howard; Zoran Tiganj (IJCNN, 2023)

Modeling brain dynamics and gaze behavior: Starting point bias and drift rate relate to frontal midline theta oscillations. - Peter J. Castagna; Stefon J. R. van Noordt; Per B. Sederberg; Michael J. Crowley (NeuroImage, 2023)