| Hippocampal microcircuits: a computational modeler's resource book V Cutsuridis, BP Graham, S Cobb, I Vida Springer, 2019 | 102 | 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 | 82 | 2019 |
| 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 | 21 | 2016 |
| Colony-level non-associative plasticity of alarm responses in the stingless honey bee, Tetragonisca angustula CM Jernigan, J Birgiolas, C McHugh, DW Roubik, WT Wcislo, BH Smith Behavioral ecology and sociobiology 72, 1-14, 2018 | 14 | 2018 |
| SwarmSight: Measuring the temporal progression of animal group activity levels from natural-scene and laboratory videos J Birgiolas, CM Jernigan, BH Smith, SM Crook Behavior research methods 49, 576-587, 2017 | 10 | 2017 |
| NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML J Birgiolas, V Haynes, P Gleeson, RC Gerkin, SW Dietrich, S Crook PLoS computational biology 19 (3), e1010941, 2023 | 7 | 2023 |
| SwarmSight: real-time tracking of insect antenna movements and proboscis extension reflex using a common preparation and conventional hardware J Birgiolas, CM Jernigan, RC Gerkin, BH Smith, SM Crook JoVE (Journal of Visualized Experiments), e56803, 2017 | 7 | 2017 |
| Ontology-assisted keyword search for NeuroML models J Birgiolas, SW Dietrich, S Crook, A Rajadesingan, C Zhang, ... Proceedings of the 27th International Conference on Scientific and …, 2015 | 7 | 2015 |
| Waveforms and Spectrograms: Enhancing Acoustic Scene Classification Using Multimodal Feature Fusion. D Fedorishin, N Sankaran, DD Mohan, J Birgiolas, P Schneider, S Setlur, ... DCASE, 216-220, 2021 | 6 | 2021 |
| NeuronUnit: A package for data-driven validation of neuron models using SciUnit RC Gerkin, J Birgiolas, RJ Jarvis, C Omar, SM Crook bioRxiv, 665331, 2019 | 6 | 2019 |
| 27th Annual Computational Neuroscience Meeting (CNS* 2018): Part Two I Bojak, T Nowotny BMC Neuroscience 19 (65), 2018 | 6 | 2018 |
| Investigating Waveform Spectrogram Feature Fusion for Acoustic Scene Classification D Fedorishin, N Sankaran, D Mohan, J Birgiolas, P Schneider, S Setlur, ... Detection, classification of acoustic scenes, and events, 2021, 2021 | 4 | 2021 |
| Resources for modeling in computational neuroscience J Birgiolas, SM Crook, RC Gerkin Hippocampal Microcircuits: A Computational Modeler's Resource Book, 807-830, 2018 | 4 | 2018 |
| Large-Scale Acoustic Automobile Fault Detection: Diagnosing Engines Through Sound VG Dennis Fedorishin, Justas Birgiolas, Deen Dayal Mohan, Livio Forte ... KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge …, 2022 | 1* | 2022 |
| NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML J Birgiolas, V Haynes, P Gleeson, RC Gerkin, SW Dietrich, SM Crook bioRxiv, 2021.09. 11.459920, 2021 | 1 | 2021 |
| Towards Brains in the Cloud: A Biophysically Realistic Computational Model of Olfactory Bulb J Birgiolas Arizona State University, 2019 | 1 | 2019 |
| Rapid selection of NeuroML models via NeuroML-DB. org J Birgiolas, R Gerkin, S Crook BMC Neuroscience 19 (2), P216, 2018 | 1 | 2018 |
| Is the Model Any Good? Objective Criteria for Computational Neuroscience Model Selection J Birgiolas, RC Gerkin, SM Crook BMC Neuroscience 17 (Suppl 1), O10, 2016 | 1 | 2016 |
| Multi-sensor devices and systems for evaluating vehicle conditions M Pokora, P Schneider, L Forte III, M Donnelly, J Birgiolas, S Galante, ... US Patent App. 18/353,676, 2023 | | 2023 |
| Machine learning methods for evaluating vehicle conditions P Schneider, M Pokora, J Birgiolas, L Forte III, DC Fedorishin US Patent App. 18/087,323, 2023 | | 2023 |
Sharon CrookArizona State UniversityVerified email at asu.edu
