Erik C. Johnson

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Correlated Noise

Evolutionary Computation

Reinforcement Learning

State Estimation

Top Venues

Frontiers Neuroinformatics

Publications

Raphael Norman-Tenazas, David Kleinberg, Erik C. Johnson, Daniel P. Lathrop, Matthew J. Roos
Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs. CoRR (2024)
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
A Maturity Model for Operations in Neuroscience Research. CoRR (2024)
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, Brain 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
First Organoid Intelligence (OI) workshop to form an OI community. Frontiers Artif. Intell. 6 (2023)
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
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR (2023)
Raphael Norman-Tenazas, David Kleinberg, Erik C. Johnson, Daniel P. Lathrop, Matthew J. Roos
Using Evolutionary Computation to Optimize Task Performance of Unclocked, Recurrent Boolean Circuits in FPGAs. ACSSC (2023)
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
Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation. NER (2023)
Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson
Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. ICONS (2023)
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
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR (2023)
Sean L. McDaniel, Marisel Villafañe-Delgado, Erik C. Johnson
Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure. IJCNN (2022)
Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon
Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. IJCNN (2022)
Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann
Continuous State Estimation With Synapse-constrained Connectivity. IJCNN (2022)
Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling. CoRR (2022)
Morgan Sanchez, Dymon Moore, Erik C. Johnson, Brock A. Wester, Jeff W. Lichtman, William R. Gray Roncal
Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability. Frontiers Neuroinformatics 16 (2022)
Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum, Chace Ashcraft, Neil M. Fendley, Megan M. Baker, Alexander New, Gautam K. Vallabha
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment. CoRR (2022)
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
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. Frontiers Neuroinformatics 16 (2022)
Robin S. Sidhu, Erik C. Johnson, Douglas L. Jones, Rama Ratnam
A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains. Biol. Cybern. 116 (5) (2022)
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
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. CoRR (2021)
Christophe J. Brown, Harrison H. Nguyen, Margaret C. Thompson, Justin M. Joyce, Erik C. Johnson, Matthew S. Fifer, Luke E. Osborn
Simulation and analysis of neuromorphic tactile data for object interaction speed detection. NER (2021)
Aishwarya H. Balwani, Joseph D. Miano, Ran Liu, Lindsey Kitchell, Judy A. Prasad, Erik C. Johnson, William R. Gray Roncal, Eva L. Dyer
Multi-Scale Modeling of Neural Structure in X-Ray Imagery. ICIP (2021)
Erik C. Johnson, Luis M. Rodriguez, Raphael Norman-Tenazas, Daniel Xenes, William R. Gray Roncal
Transfer Learning Analysis of Image Processing Workflows for Electron Microscopy Datasets. ACSSC (2019)
Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal
Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. J. Digit. Imaging 31 (3) (2018)
Erik C. Johnson, Douglas L. Jones, Rama Ratnam
A minimum-error, energy-constrained neural code is an instantaneous-rate code. J. Comput. Neurosci. 40 (2) (2016)
Douglas L. Jones, Erik C. Johnson, Rama Ratnam
A stimulus-dependent spike threshold is an optimal neural coder. Frontiers Comput. Neurosci. 9 (2015)
Erik C. Johnson, Douglas L. Jones, Rama Ratnam
Minimum squared-error, energy-constrained encoding by adaptive threshold models of neurons. ISIT (2015)
Erik C. Johnson, Douglas L. Jones
Joint recovery of sparse signals and parameter perturbations with parameterized measurement models. ICASSP (2013)
Erik C. Johnson, James J. S. Norton, David M. Jun, Timothy Bretl, Douglas L. Jones
Sequential selection of window length for improved SSVEP-based BCI classification. EMBC (2013)