Per B. Sederberg

According to our database, Per B. Sederberg authored at least 17 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, March, 2023

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

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A deep convolutional neural network that is invariant to time rescaling.

Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg

Proceedings of the International Conference on Machine Learning, 2022

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

DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales.

Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Estimating Scale-Invariant Future in Continuous Time.

Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard

Neural Comput., 2019

2017

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

2016

Trial-level information for individual faces in the fusiform face area depends on subsequent memory.

Adam E. Hasinski, Per B. Sederberg

NeuroImage, 2016

2014

Brain rhythms in mental time travel.

Sean M. Polyn, Per B. Sederberg

NeuroImage, 2014

Decomposing spatiotemporal brain patterns into topographic latent sources.

Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg

NeuroImage, 2014

2013

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

2012

The Successor Representation and Temporal Context.

Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg

Neural Comput., 2012

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

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

A Bayesian Analysis of Dynamics in Free Recall.

Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2006

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

1997

A neural network model of hippocampally mediated trace conditioning.

William B. Levy, Per B. Sederberg

Proceedings of International Conference on Neural Networks (ICNN'97), 1997