Efficient" shotgun" inference of neural connectivity from highly sub-sampled activity data D Soudry, S Keshri, P Stinson, M Oh, G Iyengar, L Paninski PLoS computational biology 11 (10), e1004464, 2015 | 63 | 2015 |
Partition functions from Rao-Blackwellized tempered sampling D Carlson, P Stinson, A Pakman, L Paninski International Conference on Machine Learning, 2896-2905, 2016 | 19 | 2016 |
A shotgun sampling solution for the common input problem in neural connectivity inference D Soudry, S Keshri, P Stinson, M Oh, G Iyengar, L Paninski arXiv preprint arXiv:1309.3724, 2013 | 16 | 2013 |
Constrained matrix factorization methods for denoising and demixing voltage imaging data EK Buchanan, J Friedrich, I Kinsella, P Stinson, P Zhou, F Gerhard, ... COSYNE, 2018 | 3 | 2018 |
Generative Modeling and Inference in Directed and Undirected Neural Networks P Stinson Columbia University, 2020 | 1 | 2020 |
Collective inference of the truth of propositions from crowd probability judgments P Stinson, J Bosch, T Jerde, N Kriegeskorte arXiv preprint arXiv:2501.04983, 2025 | | 2025 |