| A mesoscale connectome of the mouse brain SW Oh, JA Harris, L Ng, B Winslow, N Cain, S Mihalas, Q Wang, C Lau, ... Nature 508 (7495), 207-214, 2014 | 2473 | 2014 |
| A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex SEJ de Vries, JA Lecoq, MA Buice, PA Groblewski, GK Ocker, M Oliver, ... Nature neuroscience 23 (1), 138-151, 2020 | 291 | 2020 |
| Large-scale topology and the default mode network in the mouse connectome JM Stafford, BR Jarrett, O Miranda-Dominguez, BD Mills, N Cain, ... Proceedings of the National Academy of Sciences 111 (52), 18745-18750, 2014 | 265 | 2014 |
| Generalized leaky integrate-and-fire models classify multiple neuron types C Teeter, R Iyer, V Menon, N Gouwens, D Feng, J Berg, A Szafer, N Cain, ... Nature communications 9 (1), 709, 2018 | 235 | 2018 |
| Mitigating bias in calibration error estimation R Roelofs, N Cain, J Shlens, MC Mozer International Conference on Artificial Intelligence and Statistics, 4036-4054, 2022 | 83 | 2022 |
| Visual physiology of the layer 4 cortical circuit in silico A Arkhipov, NW Gouwens, YN Billeh, S Gratiy, R Iyer, Z Wei, Z Xu, ... PLoS computational biology 14 (11), e1006535, 2018 | 79 | 2018 |
| Soft calibration objectives for neural networks A Karandikar, N Cain, D Tran, B Lakshminarayanan, J Shlens, MC Mozer, ... Advances in Neural Information Processing Systems 34, 29768-29779, 2021 | 74 | 2021 |
| Inferring cortical function in the mouse visual system through large-scale systems neuroscience M Hawrylycz, C Anastassiou, A Arkhipov, J Berg, M Buice, N Cain, ... Proceedings of the National Academy of Sciences 113 (27), 7337-7344, 2016 | 72 | 2016 |
| BioNet: A Python interface to NEURON for modeling large-scale networks SL Gratiy, YN Billeh, K Dai, C Mitelut, D Feng, NW Gouwens, N Cain, ... PLoS One 13 (8), e0201630, 2018 | 56 | 2018 |
| NWB: N 2.0: an accessible data standard for neurophysiology O Rübel, A Tritt, B Dichter, T Braun, N Cain, N Clack, TJ Davidson, ... BioRxiv, 523035, 2019 | 54 | 2019 |
| The computational properties of a simplified cortical column model N Cain, R Iyer, C Koch, S Mihalas PLoS computational biology 12 (9), e1005045, 2016 | 51 | 2016 |
| Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits K Dai, SL Gratiy, YN Billeh, R Xu, B Cai, N Cain, AE Rimehaug, AJ Stasik, ... PLOS Computational Biology 16 (11), e1008386, 2020 | 45 | 2020 |
| A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex SEJ de Vries, J Lecoq, MA Buice, PA Groblewski, GK Ocker, M Oliver, ... BioRxiv, 359513, 2018 | 40 | 2018 |
| Feedback through graph motifs relates structure and function in complex networks Y Hu, SL Brunton, N Cain, S Mihalas, JN Kutz, E Shea-Brown Physical Review E 98 (6), 062312, 2018 | 35 | 2018 |
| Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity N Cain, AK Barreiro, M Shadlen, E Shea-Brown Journal of neurophysiology 109 (10), 2542-2559, 2013 | 29 | 2013 |
| The devil in the details: Non-convexities in ecosystem service provision G Brown, T Patterson, N Cain Resource and Energy Economics 33 (2), 355-365, 2011 | 26 | 2011 |
| Computational models of decision making: integration, stability, and noise N Cain, E Shea-Brown Current opinion in neurobiology 22 (6), 1047-1053, 2012 | 25 | 2012 |
| Stimulus novelty uncovers coding diversity in visual cortical circuits M Garrett, P Groblewski, A Piet, D Ollerenshaw, F Najafi, I Yavorska, ... bioRxiv, 2023.02. 14.528085, 2023 | 16 | 2023 |
| Impact of correlated neural activity on decision-making performance N Cain, E Shea-Brown Neural Computation 25 (2), 289-327, 2013 | 10 | 2013 |
| Mitigating bias in calibration error estimation, 2020 R Roelofs, N Cain, J Shlens, MC Mozer URL https://arxiv. org/abs, 2012 | 5 | 2012 |
