| Complementary networks of cortical somatostatin interneurons enforce layer specific control A Naka, J Veit, B Shababo, RK Chance, D Risso, D Stafford, B Snyder, ... Elife 8, e43696, 2019 | 98 | 2019 |
| Bayesian inference and online experimental design for mapping neural microcircuits B Shababo, B Paige, A Pakman, L Paninski Advances in Neural Information Processing Systems 26, 2013 | 51 | 2013 |
| Bayesian methods for event analysis of intracellular currents J Merel, B Shababo, A Naka, H Adesnik, L Paninski Journal of Neuroscience Methods 269, 21-32, 2016 | 17 | 2016 |
| Two-photon optogenetic mapping of excitatory synaptic connectivity and strength M Izquierdo-Serra, JJ Hirtz, B Shababo, R Yuste IScience 8, 15-28, 2018 | 16 | 2018 |
| A shotgun sampling solution for the common input problem in neural connectivity inference S Keshri, E Pnevmatikakis, A Pakman, B Shababo, L Paninski arXiv preprint arXiv:1309.3724, 2013 | 10 | 2013 |
| Methods for High-throughput, Cellular-Resolution Estimation of Synaptic Properties BM Shababo University of California, Berkeley, 2022 | | 2022 |
| Complementary subnetworks of cortical somatostatin interneurons A Naka, B Shababo, B Snyder, AY Egladyous, S Sridharan, L Paninski, ... bioRxiv, 456574, 2018 | | 2018 |
| Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits: Supplemental Material B Shababo, B Paige, A Pakman, L Paninski | | |
| Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data A Pakman, B Shababo, L Paninski | | |
| Inferring Direct and Indirect Functional Connectivity Between Neurons From Multiple Neural Spike Train Data B Shababo, K Tang, F Wood | | |
