Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences M Alber, A Buganza Tepole, WR Cannon, S De, S Dura-Bernal, ... NPJ digital medicine 2 (1), 115, 2019 | 447 | 2019 |
Multiscale modeling meets machine learning: What can we learn? GCY Peng, M Alber, A Buganza Tepole, WR Cannon, S De, ... Archives of Computational Methods in Engineering 28, 1017-1037, 2021 | 256 | 2021 |
NetPyNE, a tool for data-driven multiscale modeling of brain circuits S Dura-Bernal, BA Suter, P Gleeson, M Cantarelli, A Quintana, ... Elife 8, e44494, 2019 | 127 | 2019 |
Open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits P Gleeson, M Cantarelli, B Marin, A Quintana, M Earnshaw, S Sadeh, ... Neuron 103 (3), 395-411. e5, 2019 | 83 | 2019 |
Simulation neurotechnologies for advancing brain research: parallelizing large networks in NEURON WW Lytton, AH Seidenstein, S Dura-Bernal, RA McDougal, F Schürmann, ... Neural computation 28 (10), 2063-2090, 2016 | 53 | 2016 |
The SONATA data format for efficient description of large-scale network models K Dai, J Hernando, YN Billeh, SL Gratiy, J Planas, AP Davison, ... PLoS computational biology 16 (2), e1007696, 2020 | 43 | 2020 |
Top-down feedback in an HMAX-like cortical model of object perception based on hierarchical Bayesian networks and belief propagation S Dura-Bernal, T Wennekers, SL Denham PloS one 7 (11), e48216, 2012 | 42 | 2012 |
Gait-based person and gender recognition using micro-doppler signatures G Garreau, CM Andreou, AG Andreou, J Georgiou, S Dura-Bernal, ... 2011 IEEE Biomedical Circuits and Systems Conference (BioCAS), 444-447, 2011 | 42 | 2011 |
Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis S Dura-Bernal, SA Neymotin, CC Kerr, S Sivagnanam, A Majumdar, ... IBM Journal of Research and Development 61 (2/3), 6: 1-6: 14, 2017 | 37 | 2017 |
Optimizing computer models of corticospinal neurons to replicate in vitro dynamics SA Neymotin, BA Suter, S Dura-Bernal, GMG Shepherd, M Migliore, ... Journal of neurophysiology 117 (1), 148-162, 2017 | 37 | 2017 |
Multitarget multiscale simulation for pharmacological treatment of dystonia in motor cortex SA Neymotin, S Dura-Bernal, P Lakatos, TD Sanger, WW Lytton Frontiers in Pharmacology 7, 191737, 2016 | 35 | 2016 |
Restoring behavior via inverse neurocontroller in a lesioned cortical spiking model driving a virtual arm S Dura-Bernal, K Li, SA Neymotin, JT Francis, JC Principe, WW Lytton Frontiers in neuroscience 10, 150362, 2016 | 34 | 2016 |
Multiscale computer model of the spinal dorsal horn reveals changes in network processing associated with chronic pain L Medlock, K Sekiguchi, S Hong, S Dura-Bernal, WW Lytton, SA Prescott Journal of Neuroscience 42 (15), 3133-3149, 2022 | 32 | 2022 |
Human action categorization using ultrasound micro-doppler signatures S Dura-Bernal, G Garreau, C Andreou, A Andreou, J Georgiou, ... Human Behavior Understanding: Second International Workshop, HBU 2011 …, 2011 | 31 | 2011 |
Geppetto: a reusable modular open platform for exploring neuroscience data and models M Cantarelli, B Marin, A Quintana, M Earnshaw, R Court, P Gleeson, ... Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018 | 30 | 2018 |
Cortical spiking network interfaced with virtual musculoskeletal arm and robotic arm S Dura-Bernal, X Zhou, SA Neymotin, A Przekwas, JT Francis, WW Lytton Frontiers in neurorobotics 9, 13, 2015 | 29 | 2015 |
Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm S Dura-Bernal, GL Chadderdon, SA Neymotin, JT Francis, WW Lytton Pattern recognition letters 36, 204-212, 2014 | 28 | 2014 |
Modernizing the NEURON simulator for sustainability, portability, and performance O Awile, P Kumbhar, N Cornu, S Dura-Bernal, JG King, O Lupton, ... Frontiers in Neuroinformatics 16, 884046, 2022 | 23 | 2022 |
25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17, 1-112, 2016 | 22 | 2016 |
Optimization by adaptive stochastic descent CC Kerr, S Dura-Bernal, TG Smolinski, GL Chadderdon, DP Wilson PloS one 13 (3), e0192944, 2018 | 19 | 2018 |