Erik C. Johnson

28 papers A* 1B 5Misc 3Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Optimizing generalized feedback paths for credit assignment. ICONS Brian S. Robinson, Isaac Western, Erik C. Johnson, Matthew J. Roos
2024	J	`jnl`	A Maturity Model for Operations in Neuroscience Research. CoRR 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
2024	J	`jnl`	Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs. CoRR Raphael Norman-Tenazas, David Kleinberg, Erik C. Johnson, Daniel P. Lathrop, Matthew J. Roos
2023	—	`conf`	Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation. NER 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
2023	—	`conf`	Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. ICONS Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson
2023	J	`jnl`	Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR 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
2023	J	`jnl`	First Organoid Intelligence (OI) workshop to form an OI community. Frontiers Artif. Intell. 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
2023	J	`jnl`	MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR 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
2023	Misc	`conf`	Using Evolutionary Computation to Optimize Task Performance of Unclocked, Recurrent Boolean Circuits in FPGAs. ACSSC Raphael Norman-Tenazas, David Kleinberg, Erik C. Johnson, Daniel P. Lathrop, Matthew J. Roos
2022	J	`jnl`	A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains. Biol. Cybern. Robin S. Sidhu, Erik C. Johnson, Douglas L. Jones, Rama Ratnam
2022	J	`jnl`	Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability. Frontiers Neuroinformatics Morgan Sanchez, Dymon Moore, Erik C. Johnson, Brock A. Wester, Jeff W. Lichtman, William R. Gray Roncal
2022	J	`jnl`	Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling. CoRR Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon
2022	B	`conf`	Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. IJCNN Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon
2022	B	`conf`	Continuous State Estimation With Synapse-constrained Connectivity. IJCNN Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann
2022	B	`conf`	Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure. IJCNN Sean L. McDaniel, Marisel Villafañe-Delgado, Erik C. Johnson
2022	J	`jnl`	L2Explorer: A Lifelong Reinforcement Learning Assessment Environment. CoRR Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum, Chace Ashcraft, Neil M. Fendley, Megan M. Baker, Alexander New, Gautam K. Vallabha
2022	A*	`conf`	MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. NeurIPS 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
2022	J	`jnl`	The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. Frontiers Neuroinformatics 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
2021	J	`jnl`	Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. CoRR 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
2021	B	`conf`	Multi-Scale Modeling of Neural Structure in X-Ray Imagery. ICIP Aishwarya H. Balwani, Joseph D. Miano, Ran Liu, Lindsey Kitchell, Judy A. Prasad, Erik C. Johnson, William R. Gray Roncal, Eva L. Dyer
2021	—	`conf`	Simulation and analysis of neuromorphic tactile data for object interaction speed detection. NER Christophe J. Brown, Harrison H. Nguyen, Margaret C. Thompson, Justin M. Joyce, Erik C. Johnson, Matthew S. Fifer, Luke E. Osborn
2019	Misc	`conf`	Transfer Learning Analysis of Image Processing Workflows for Electron Microscopy Datasets. ACSSC Erik C. Johnson, Luis M. Rodriguez, Raphael Norman-Tenazas, Daniel Xenes, William R. Gray Roncal
2018	J	`jnl`	Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. J. Digit. Imaging Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal
2016	J	`jnl`	A minimum-error, energy-constrained neural code is an instantaneous-rate code. J. Comput. Neurosci. Erik C. Johnson, Douglas L. Jones, Rama Ratnam
2015	J	`jnl`	A stimulus-dependent spike threshold is an optimal neural coder. Frontiers Comput. Neurosci. Douglas L. Jones, Erik C. Johnson, Rama Ratnam
2015	B	`conf`	Minimum squared-error, energy-constrained encoding by adaptive threshold models of neurons. ISIT Erik C. Johnson, Douglas L. Jones, Rama Ratnam
2013	Misc	`conf`	Joint recovery of sparse signals and parameter perturbations with parameterized measurement models. ICASSP Erik C. Johnson, Douglas L. Jones
2013	—	`conf`	Sequential selection of window length for improved SSVEP-based BCI classification. EMBC Erik C. Johnson, James J. S. Norton, David M. Jun, Timothy Bretl, Douglas L. Jones