| Internally generated cell assembly sequences in the rat hippocampus E Pastalkova, V Itskov, A Amarasingham, G Buzsaki Science 321 (5894), 1322-1327, 2008 | 1380 | 2008 |
| Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex S Fujisawa, A Amarasingham, MT Harrison, G Buzsáki Nature neuroscience 11 (7), 823-833, 2008 | 739 | 2008 |
| Conditional modeling and the jitter method of spike resampling A Amarasingham, MT Harrison, NG Hatsopoulos, S Geman Journal of Neurophysiology 107 (2), 517-531, 2012 | 136 | 2012 |
| Spike count reliability and the Poisson hypothesis A Amarasingham, TL Chen, S Geman, MT Harrison, DL Sheinberg Journal of Neuroscience 26 (3), 801-809, 2006 | 97 | 2006 |
| At what time scale does the nervous system operate? N Hatsopoulos, S Geman, A Amarasingham, E Bienenstock Neurocomputing 52, 25-29, 2003 | 77 | 2003 |
| Millisecond timescale synchrony among hippocampal neurons K Diba, A Amarasingham, K Mizuseki, G Buzsáki Journal of Neuroscience 34 (45), 14984-14994, 2014 | 70 | 2014 |
| On the role of theory and modeling in neuroscience D Levenstein, VA Alvarez, A Amarasingham, H Azab, ZS Chen, ... Journal of Neuroscience 43 (7), 1074-1088, 2023 | 50 | 2023 |
| Ambiguity and nonidentifiability in the statistical analysis of neural codes A Amarasingham, S Geman, MT Harrison Proceedings of the National Academy of Sciences 112 (20), 6455-6460, 2015 | 42 | 2015 |
| Statistical Identification of Synchronous Spiking MT Harrison, A Amarasingham, RE Kass Spike Timing: Mechanisms and Function 53, 77, 2013 | 30 | 2013 |
| Statistical methods for the assessment of temporal structure in the activity of the nervous system A Amarasingham Brown University, 2004 | 20 | 2004 |
| Predicting the distribution of synaptic strengths and cell firing correlations in a self-organizing, sequence prediction model A Amarasingham, WB Levy Neural Computation 10 (1), 25-57, 1998 | 19 | 1998 |
| Spike-centered jitter can mistake temporal structure J Platkiewicz, E Stark, A Amarasingham Neural computation 29 (3), 783-803, 2017 | 16 | 2017 |
| Spatiotemporal conditional inference and hypothesis tests for neural ensemble spiking precision MT Harrison, A Amarasingham, W Truccolo Neural computation 27 (1), 104-150, 2014 | 15 | 2014 |
| Jitter methods for investigating spike train dependencies M Harrison, A Amarasingham, S Geman Computational and Systems Neuroscience Abstracts III-17, 2007 | 9 | 2007 |
| Conditional modeling and the jitter method of spike re-sampling: Supplement A Amarasingham, MT Harrison, NG Hatsopoulos, S Geman arXiv preprint arXiv:1111.4296, 2011 | 8 | 2011 |
| Monosynaptic inference via finely-timed spikes J Platkiewicz, Z Saccomano, S McKenzie, D English, A Amarasingham Journal of Computational Neuroscience 49, 131-157, 2021 | 7 | 2021 |
| The statistical analysis of temporal resolution in the nervous system S Geman, A Amarasingham, M Harrison, N Hatsopoulos Manuscript submitted for publication, 2008 | 6 | 2008 |
| A causal inference approach of monosynapses from spike trains Z Saccomano, S Mckenzie, H Rotstein, A Amarasingham arXiv preprint arXiv:2405.02786, 2024 | | 2024 |
| Detection of short-term temporal dependencies in hawkes processes with heterogeneous background dynamics Y Chen, F Li, A Schneider, Y Nevmyvaka, A Amarasingham, H Lam Uncertainty in Artificial Intelligence, 369-380, 2023 | | 2023 |
| Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes Y Chen, F Li, A Schneider, Y Nevmyvaka, A Amarasingham, H Lam arXiv preprint arXiv:2305.18412, 2023 | | 2023 |
Matthew T HarrisonAssociate Professor of Applied Mathematics, Brown UniversityVerified email at brown.edu
