| Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis A Hyvärinen, P Ramkumar, L Parkkonen, R Hari NeuroImage 49 (1), 257-271, 2010 | 218 | 2010 |
| Aberrant temporal and spatial brain activity during rest in patients with chronic pain S Malinen, N Vartiainen, Y Hlushchuk, M Koskinen, P Ramkumar, N Forss, ... Proceedings of the National Academy of Sciences 107 (14), 6493-6497, 2010 | 201 | 2010 |
| Chunking as the result of an efficiency computation trade-off P Ramkumar, DE Acuna, M Berniker, ST Grafton, RS Turner, KP Kording Nature communications 7 (1), 12176, 2016 | 124 | 2016 |
| Premotor and motor cortices encode reward P Ramkumar, B Dekleva, S Cooler, L Miller, K Kording PloS one 11 (8), e0160851, 2016 | 94 | 2016 |
| Feature-specific information processing precedes concerted activation in human visual cortex P Ramkumar, M Jas, S Pannasch, R Hari, L Parkkonen Journal of Neuroscience 33 (18), 7691-7699, 2013 | 81 | 2013 |
| Modern machine learning as a benchmark for fitting neural responses AS Benjamin, HL Fernandes, T Tomlinson, P Ramkumar, C VerSteeg, ... Frontiers in computational neuroscience 12, 317343, 2018 | 69 | 2018 |
| Person identification using evoked potentials and peak matching GK Singhal, P RamKumar 2007 Biometrics Symposium, 1-6, 2007 | 63 | 2007 |
| Population coding of conditional probability distributions in dorsal premotor cortex JI Glaser, MG Perich, P Ramkumar, LE Miller, KP Kording Nature communications 9 (1), 1788, 2018 | 62 | 2018 |
| Role of expected reward in frontal eye field during natural scene search JI Glaser, DK Wood, PN Lawlor, P Ramkumar, KP Kording, MA Segraves Journal of neurophysiology 116 (2), 645-657, 2016 | 49 | 2016 |
| Uncertainty leads to persistent effects on reach representations in dorsal premotor cortex BM Dekleva, P Ramkumar, PA Wanda, KP Kording, LE Miller Elife 5, e14316, 2016 | 48 | 2016 |
| Visual information representation and rapid-scene categorization are simultaneous across cortex: An MEG study P Ramkumar, BC Hansen, S Pannasch, LC Loschky Neuroimage 134, 295-304, 2016 | 41 | 2016 |
| Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis P Ramkumar, L Parkkonen, R Hari, A Hyvärinen Human brain mapping 33 (7), 1648-1662, 2012 | 40 | 2012 |
| Feature-based attention and spatial selection in frontal eye fields during natural scene search P Ramkumar, PN Lawlor, JI Glaser, DK Wood, AN Phillips, MA Segraves, ... Journal of neurophysiology 116 (3), 1328-1343, 2016 | 32 | 2016 |
| Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data P Ramkumar, L Parkkonen, A Hyvärinen Neuroimage 86, 480-491, 2014 | 32 | 2014 |
| Testing independent component patterns by inter-subject or inter-session consistency A Hyvärinen, P Ramkumar Frontiers in Human Neuroscience 7, 94, 2013 | 25 | 2013 |
| Pyglmnet: Python implementation of elastic-net regularized generalized linear models M Jas, T Achakulvisut, A Idrizović, D Acuna, M Antalek, V Marques, ... Journal of Open Source Software 5 (47), 2020 | 23 | 2020 |
| ICANN/PASCAL2 challenge: MEG mind reading—overview and results A Klami, P Ramkumar, S Virtanen, L Parkkonen, R Hari, S Kaski Proceedings of ICANN/PASCAL2 Challenge: MEG Mind Reading 2 (9), 3, 2011 | 19 | 2011 |
| Modern machine learning outperforms GLMs at predicting spikes AS Benjamin, HL Fernandes, T Tomlinson, P Ramkumar, C VerSteeg, ... bioRxiv, 111450, 2017 | 18 | 2017 |
| Optimization and scaling of patient-derived brain organoids uncovers deep phenotypes of disease K Shah, R Bedi, A Rogozhnikov, P Ramkumar, Z Tong, B Rash, M Stanton, ... bioRxiv, 2020.08. 26.251611, 2020 | 10 | 2020 |
| Modern machine learning far outperforms GLMs at predicting spikes. bioRxiv AS Benjamin, HL Fernandes, T Tomlinson, P Ramkumar, C VerSteeg, ... | 6 | 2017 |
Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMB在 upenn.edu 的电子邮件经过验证