Publications

21. RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI

Grant Wallace, Stephen Polcyn, Paula P. Brooks, Anne C. Mennen, Ke Zhao, Paul S. Scotti, Sebastian Michelmann, Kai Li, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman
NeuroImage (2022)
(paper)

20. BrainIAK: The Brain Imaging Analysis Kit

Manoj Kumar, Michael J. Anderson, James W. Antony, Christopher Baldassano, Paula P. Brooks, Ming Bo Cai, Po-Hsuan Cameron Chen, Cameron T. Ellis, Gregory Henselman-Petrusek, David Huberdeau, J. Benjamin Hutchinson, Y. Peeta Li, Qihong Lu, Jeremy R. Manning, Anne C. Mennen, Samuel A. Nastase, Hugo Richard, Anna C. Schapiro, Nicolas W. Schuck, Michael Shvartsman, Narayanan Sundaram, Daniel Suo, Javier S. Turek, David Turner, Vy A. Vo, Grant Wallace, Yida Wang, Jamal A. Williams, Hejia Zhang, Xia Zhu, Mihai Capota, Jonathan D. Cohen, Uri Hasson, Kai Li, Peter J. Ramadge, Nicholas B. Turk-Browne, Theodore L. Willke, Kenneth A. Norman
Aperture Neuro (2021)
(paper)

19. Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis

Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu
Neuropsychologia (2020)
(paper)

18. Facilitating open-science with realistic fMRI simulation: validation and application

Cameron T. Ellis, Christopher Baldassano, Anna C. Schapiro, Ming Bo Cai, Jonathan D. Cohen
PeerJ (2020)
(paper)

17. BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis

Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capotă, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman
PLOS Computational Biology (2020)
(paper)

16. Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias

Ming Bo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
PLOS Computational Biology (2019)
(paper, docs, example, code)

15. Feasibility of topological data analysis for event-related fMRI

Cameron T. Ellis, Michael Lesnick, Gregory Henselman-Petrusek, Bryn B. Keller, Jonathan D. Cohen
Network Neuroscicence (2019)
(paper)

14. A probabilistic approach to discovering dynamic full-brain functional connectivity patterns

Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly Stachenfeld, Uri Hasson, David M.Blei, Kenneth A. Norman
NeuroImage (2018)
(paper)

13. Representation of real-world event schemas during narrative perception

Christopher Baldassano, Uri Hasson, Kenneth A. Norman
Journal of Neuroscience (2018)
(paper, code)

12. Capturing Shared and Individual Information in fMRI Data

Javier S. Turek, Cameron T. Ellis, Lena J. Skalaban, Nicholas B. Turk-Browne, Theodore L. Willke
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2018)
(paper, code, docs, example)

11. How is experience transformed into memory?

Andrew C. Heusser, Paxton C. Fitzpatrick, Jeremy R. Manning
bioRxiv preprint (2018)
(paper)

10. Discovering Event Structure in Continuous Narrative Perception and Memory

Christopher Baldassano, Janice Chen, Asieh Zadboood, Jonathan W. Pillow, Uri Hasson, Kenneth A. Norman
Neuron (2017)
(paper, code, docs, example)

9. A semi-supervised method for multi-subject FMRI functional alignment

Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2017)
(paper, code, docs, example)

8. Computational approaches to fMRI analysis

Jonathan D. Cohen, Nathaniel Daw, Barbara Engelhardt, Uri Hasson, Kai Li, Yael Niv, Kenneth A. Norman, Jonathan Pillow, Peter J. Ramadge, Nicholas B. Turk-Browne, Theodore L. Willke
Nature Neuroscience (2017)
(paper)

7. A Bayesian method for reducing bias in neural representational similarity analysis

Ming Bo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
Advances in Neural Information Processing Systems 29 (NIPS) (2016)
(paper, code, docs, example)

6. Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets

Michael J. Anderson, Mihai Capotaă, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman
IEEE International Conference on Big Data (2016)
(paper, code-factoranalysis, code-funcalign, docs-factoranalysis, docs-funcalign)

5. A Reduced-Dimension fMRI Shared Response Model

Po-Hsuan Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby, Peter J. Ramadge
Advances in Neural Information Processing Systems 28 (NIPS) (2015)
(paper, code, docs, example)

4. Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors

Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (2015)
(paper, code, docs)

3. Full correlation matrix analysis (FCMA): An unbiased method for task-related functional connectivity

Yida Wang, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne
Journal of Neuroscience Methods (2015)
(paper, code, docs)

2. Hierarchical topographic factor analysis

Jeremy R. Manning, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, David M. Blei
Pattern Recognition in Neuroimaging (2014)
(paper, code, docs)

1. Topographic factor analysis: a bayesian model for inferring brain networks from neural data

Jeremy R. Manning, Rajesh Ranganath, Kenneth A. Norman, David M. Blei
PLoS one (2014)
(paper, code, docs)
  • About
  • BrainIAK is the result of an ongoing collaboration among the Brain-Inspired Computing Lab at Intel, the Princeton Neuroscience Institute, and other institutions. All parties maintain a firm commitment to community-developed open-source software.

  • Copyright © 2017 Intel Corporation and Princeton University. All Rights Reserved.