Erik C. Johnson

According to our database, Erik C. Johnson authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Franco Pestilli, Dimitri Yatsenko

CoRR, 2024

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, Donald J. Zack, Ralph Etienne-Cummings, Akwasi Akwaboah, July Carolina Romero, Dowlette-Mary Alam El Din, Jesse D. Plotkin, Barton L. Paulhamus, Erik C. Johnson, Frederic Gilbert, J. Lowry Curley, Ben Cappiello, Jens C. Schwamborn, Eric J. Hill, Paul Roach, Daniel Tornero, Caroline Krall, Rheinallt Parri, Fenna Sillé, Andre Levchenko, Rabih E. Jabbour, Brett J. Kagan, Cynthia A. Berlinicke, Qi Huang, Alexandra Maertens, Kathrin Herrmann, Katya Tsaioun, Raha M. Dastgheyb, Christa Whelan Habela, Joshua T. Vogelstein, Thomas Hartung

Frontiers Artif. Intell., February, 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, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann

CoRR, 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

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 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

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

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

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

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

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

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

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

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

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, Eva L. Dyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the International Joint Conference on Neural Networks, 2022

Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure.

Sean L. McDaniel, Marisel Villafañe-Delgado, Erik C. Johnson

Proceedings of the International Joint Conference on Neural Networks, 2022

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

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

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019

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

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

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

2016

A minimum-error, energy-constrained neural code is an instantaneous-rate code.

Erik C. Johnson, Douglas L. Jones, Rama Ratnam

J. Comput. Neurosci., 2016

2015

A stimulus-dependent spike threshold is an optimal neural coder.

Douglas L. Jones, Erik C. Johnson, Rama Ratnam

Frontiers Comput. Neurosci., 2015

Minimum squared-error, energy-constrained encoding by adaptive threshold models of neurons.

Erik C. Johnson, Douglas L. Jones, Rama Ratnam

Proceedings of the IEEE International Symposium on Information Theory, 2015

2013

Joint recovery of sparse signals and parameter perturbations with parameterized measurement models.

Erik C. Johnson, Douglas L. Jones

Proceedings of the IEEE International Conference on Acoustics, 2013

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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013