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Journal Articles
- 2023
[j10]Peter J. Castagna
, Stefon J. R. van Noordt, Per B. Sederberg, Michael J. Crowley:
Modeling brain dynamics and gaze behavior: Starting point bias and drift rate relate to frontal midline theta oscillations. NeuroImage 268: 119871 (2023)- 2019
- [j9]Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating Scale-Invariant Future in Continuous Time. Neural Comput. 31(4) (2019) - 2016
- [j8]Adam E. Hasinski, Per B. Sederberg:
Trial-level information for individual faces in the fusiform face area depends on subsequent memory. NeuroImage 124: 526-535 (2016) - 2014
- [j7]Sean M. Polyn, Per B. Sederberg:
Brain rhythms in mental time travel. NeuroImage 85: 678-684 (2014) - [j6]Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg:
Decomposing spatiotemporal brain patterns into topographic latent sources. NeuroImage 98: 91-102 (2014) - 2013
- [j5]Brandon M. Turner, Birte U. Forstmann, Eric-Jan Wagenmakers, Scott D. Brown, Per B. Sederberg, Mark Steyvers:
A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage 72: 193-206 (2013) - 2012
- [j4]Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg:
The Successor Representation and Temporal Context. Neural Comput. 24(6): 1553-1568 (2012) - 2009
- [j3]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:
PyMVPA: a unifying approach to the analysis of neuroscientific data. Frontiers Neuroinformatics 3: 3 (2009) - [j2]Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Stephen José Hanson, James V. Haxby, Stefan Pollmann:
PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data. Neuroinformatics 7(1): 37-53 (2009) - 2006
- [j1]Per B. Sederberg, Lynne V. Gauthier, Vitaly Terushkin, Jonathan F. Miller, Julia A. Barnathan, Michael J. Kahana:
Oscillatory correlates of the primacy effect in episodic memory. NeuroImage 32(3): 1422-1431 (2006)
Conference and Workshop Papers
- 2023
- [c5]Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj:
Representing Latent Dimensions Using Compressed Number Lines. IJCNN 2023: 1-10 - 2022
- [c4]Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg:
A deep convolutional neural network that is invariant to time rescaling. ICML 2022: 9729-9738 - 2021
- [c3]Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg:
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. NeurIPS 2021: 27530-27541 - 2009
- [c2]Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman:
A Bayesian Analysis of Dynamics in Free Recall. NIPS 2009: 1714-1722 - 1997
- [c1]William B. Levy, Per B. Sederberg:
A neural network model of hippocampally mediated trace conditioning. ICNN 1997: 372-376
Informal and Other Publications
- 2021
- [i4]Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg:
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. CoRR abs/2104.04646 (2021) - [i3]Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg:
SITHCon: A neural network robust to variations in input scaling on the time dimension. CoRR abs/2107.04616 (2021) - 2018
- [i2]Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating scale-invariant future in continuous time. CoRR abs/1802.06426 (2018) - 2017
- [i1]Tyler A. Spears, Brandon G. Jacques, Marc W. Howard, Per B. Sederberg:
Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world. CoRR abs/1712.07165 (2017)
Coauthor Index
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