| Toward a reproducible, scalable framework for processing large neuroimaging datasets EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ... BioRxiv, 615161, 2019 | 8 | 2019 |
| Online learning for orientation estimation during translation in an insect ring attractor network BS Robinson, R Norman-Tenazas, M Cervantes, D Symonette, ... Scientific reports 12 (1), 3210, 2022 | 7 | 2022 |
| Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ... GigaScience 9 (12), giaa147, 2020 | 6 | 2020 |
| Neuvue: A framework and workflows for high-throughput electron microscopy connectomics proofreading D Xenes, LM Kitchell, PK Rivlin, R Brodsky, H Gooden, J Joyce, D Luna, ... bioRxiv, 2022.07. 18.500521, 2022 | 5 | 2022 |
| Circuit motifs and graph properties of connectome development in C. elegans JK Matelsky, R Norman-Tenazas, F Davenport, EP Reilly, W Gray-Roncal bioRxiv, 2021.07. 11.451911, 2021 | 4 | 2021 |
| Continuous state estimation with synapse-constrained connectivity R Norman-Tenazas, BS Robinson, J Joyce, I Western, EC Johnson, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 3 | 2022 |
| Informing generative replay for continual learning with long-term memory formation in the fruit fly BS Robinson, J Joyce, R Norman-Tenazas, GK Vallabha, EC Johnson bioRxiv, 2023.01. 18.524467, 2023 | 2 | 2023 |
| Transfer learning analysis of image processing workflows for electron microscopy datasets EC Johnson, LM Rodriguez, R Norman-Tenazas, D Xenes, ... 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1197-1201, 2019 | 2 | 2019 |
| Exploiting large neuroimaging datasets to create connectome-constrained approaches for more robust, efficient, and adaptable artificial intelligence EC Johnson, BS Robinson, GK Vallabha, J Joyce, JK Matelsky, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2023 | 1 | 2023 |
| Online learning for orientation estimation during translation in an insect ring attractor network BS Robinson, R Norman-Tenazas, M Cervantes, D Symonette, ... bioRxiv, 2021.01. 07.425323, 2021 | 1 | 2021 |
| Recurrent connections enable point attractor dynamics and dimensionality reduction in a connectome-constrained model of the insect learning center J Joyce, R Norman-Tenazas, P Rivlin, GM Hwang, I Western, K Zhang, ... bioRxiv, 2024.01. 10.574960, 2024 | | 2024 |
| Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs R Norman-Tenazas, D Kleinberg, EC Johnson, DP Lathrop, MJ Roos 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1564-1568, 2023 | | 2023 |
| Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center R Norman-Tenazas, I Western, G Vallabha, MJ Roos, EC Johnson, ... Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-7, 2023 | | 2023 |
| A SwarmAI Testbed for Workforce Development and Collaborative, Interdisciplinary Research M Cervantes, R Norman-Tenazas, A Goertz, EC Johnson, ... 2023 ASEE Annual Conference & Exposition, 2023 | | 2023 |
| Incorporation of avian neurophysiology offers new methods to enhance object tracking models R Norman-Tenazas, MAD Yates Bioinspiration, Biomimetics, and Bioreplication XIII 12481, 106-116, 2023 | | 2023 |
| Worminator: A platform to enable bio-inspired (C. elegans) robotics R Norman-Tenazas, JK Matelsky, KD Katyal, EC Johnson, ... | | |
