Sequential selection of window length for improved SSVEP-based BCI classification. - Erik C. Johnson; James J. S. Norton; David M. Jun; Timothy Bretl; Douglas L. Jones (EMBC, 2013)

Joint recovery of sparse signals and parameter perturbations with parameterized measurement models. - Erik C. Johnson; Douglas L. Jones (ICASSP, 2013)

Minimum squared-error, energy-constrained encoding by adaptive threshold models of neurons. - Erik C. Johnson; Douglas L. Jones; Rama Ratnam (ISIT, 2015)

A stimulus-dependent spike threshold is an optimal neural coder. - Douglas L. Jones; Erik C. Johnson; Rama Ratnam (Frontiers Comput. Neurosci., 2015)

A minimum-error, energy-constrained neural code is an instantaneous-rate code. - Erik C. Johnson; Douglas L. Jones; Rama Ratnam (J. Comput. Neurosci., 2016)

Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. - Jordan Matelsky; Gregory Kiar; Erik C. Johnson; Corban Rivera; Michael Toma; William R. Gray Roncal (J. Digit. Imaging, 2018)

Transfer Learning Analysis of Image Processing Workflows for Electron Microscopy Datasets. - Erik C. Johnson; Luis M. Rodriguez; Raphael Norman-Tenazas; Daniel Xenes; William R. Gray Roncal (ACSSC, 2019)

Multi-Scale Modeling of Neural Structure in X-Ray Imagery. - Aishwarya H. Balwani; Joseph D. Miano; Ran Liu; Lindsey Kitchell; Judy A. Prasad; Erik C. Johnson; William R. Gray Roncal; Eva L. Dyer (ICIP, 2021)

Simulation and analysis of neuromorphic tactile data for object interaction speed detection. - Christophe J. Brown; Harrison H. Nguyen; Margaret C. Thompson; Justin M. Joyce; Erik C. Johnson; Matthew S. Fifer; Luke E. Osborn (NER, 2021)

Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. - Mehdi Azabou; Mohammad Gheshlaghi Azar; Ran Liu; Chi-Heng Lin; Erik C. Johnson; Kiran Bhaskaran-Nair; Max Dabagia; Keith B. Hengen; William R. Gray Roncal; Michal Valko; Eva L. Dyer (CoRR, 2021)

Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure. - Sean L. McDaniel; Marisel Villafañe-Delgado; Erik C. Johnson (IJCNN, 2022)

Continuous State Estimation With Synapse-constrained Connectivity. - Raphael Norman-Tenazas; Brian S. Robinson; Justin Joyce; Isaac Western; Erik C. Johnson; William R. Gray Roncal; Joan A. Hoffmann (IJCNN, 2022)

Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. - Brian S. Robinson; Clare W. Lau; Alexander New; Shane M. Nichols; Erik C. Johnson; Michael Wolmetz; William G. Coon (IJCNN, 2022)

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. - Jorge Quesada; Lakshmi Sathidevi; Ran Liu; Nauman Ahad; Joy M. Jackson; Mehdi Azabou; Jingyun Xiao; Christopher Liding; Matthew Jin; Carolina Urzay; William R. Gray Roncal; Erik C. Johnson; et al. (NeurIPS, 2022)

A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains. - Robin S. Sidhu; Erik C. Johnson; Douglas L. Jones; Rama Ratnam (Biol. Cybern., 2022)

L2Explorer: A Lifelong Reinforcement Learning Assessment Environment. - Erik C. Johnson; Eric Q. Nguyen; Blake Schreurs; Chigozie S. Ewulum; Chace Ashcraft; Neil M. Fendley; Megan M. Baker; Alexander New; Gautam K. Vallabha (CoRR, 2022)

Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling. - Brian S. Robinson; Clare W. Lau; Alexander New; Shane M. Nichols; Erik C. Johnson; Michael Wolmetz; William G. Coon (CoRR, 2022)

The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. - Robert Hider; Dean Kleissas; Timothy Gion; Daniel Xenes; Jordan Matelsky; Derek Pryor; Luis M. Rodriguez; Erik C. Johnson; William R. Gray Roncal; Brock A. Wester (Frontiers Neuroinformatics, 2022)

Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability. - Morgan Sanchez; Dymon Moore; Erik C. Johnson; Brock A. Wester; Jeff W. Lichtman; William R. Gray Roncal (Frontiers Neuroinformatics, 2022)

Using Evolutionary Computation to Optimize Task Performance of Unclocked, Recurrent Boolean Circuits in FPGAs. - Raphael Norman-Tenazas; David Kleinberg; Erik C. Johnson; Daniel P. Lathrop; Matthew J. Roos (ACSSC, 2023)

Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. - Raphael Norman-Tenazas; Isaac Western; Gautam K. Vallabha; Matthew J. Roos; Erik C. Johnson; Brian S. Robinson (ICONS, 2023)

Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation. - Erik C. Johnson; Jordan K. Matelsky; Christa Cooke; Breanne P. Christie; Khalid Jones; Harley Ledbetter; Siqi Wang; Gail F. Forrest; Nathan Torgerson; Claudia A. Angeli; Susan J. Harkema; Francesco V. Tenore (NER, 2023)

Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. - Erik C. Johnson; Brian S. Robinson; Gautam K. Vallabha; Justin Joyce; Jordan K. Matelsky; Raphael Norman-Tenazas; Isaac Western; Marisel Villafañe-Delgado; Martha Cervantes; Michael S. Robinette; Arun V. Reddy; Lindsey Kitchell; et al. (CoRR, 2023)

First Organoid Intelligence (OI) workshop to form an OI community. - Itzy E. Morales Pantoja; Lena Smirnova; Alysson R. Muotri; Karl J. Wahlin; Jeffrey Kahn; J. Lomax Boyd; David H. Gracias; Timothy D. Harris; Tzahi Cohen-Karni; Brian S. Caffo; Alexander S. Szalay; Fang Han; et al. (Frontiers Artif. Intell., 2023)

A Maturity Model for Operations in Neuroscience Research. - Erik C. Johnson; Thinh T. Nguyen; Benjamin K. Dichter; Frank Zappulla; Montgomery Kosma; Kabilar Gunalan; Yaroslav O. Halchenko; Shay Q. Neufeld; Michael Schirner; Petra Ritter; Maryann E. Martone; Brock A. Wester; et al. (CoRR, 2024)