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ORCIDErik C. Johnson
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2020 – today
- 2024
[i7]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 abs/2401.00077 (2024)- [i6]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 abs/2403.13105 (2024) - 2023
- [j7]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:
First Organoid Intelligence (OI) workshop to form an OI community. Frontiers Artif. Intell. 6 (2023) - [c13]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: 1564-1568 - [c12]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: 25:1-25:7 - [c11]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: 1-4 - [i5]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 abs/2301.00345 (2023) - [i4]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 abs/2305.17300 (2023) - 2022
- [j6]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): 611-633 (2022) - [j5]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: 828458 (2022) - [j4]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: 828787 (2022) - [c10]Sean L. McDaniel, Marisel Villafañe-Delgado, Erik C. Johnson:
Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure. IJCNN 2022: 1-8 - [c9]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: 1-9 - [c8]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: 1-9 - [c7]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. NeurIPS 2022 - [i3]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 abs/2203.07454 (2022) - [i2]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 abs/2209.05245 (2022) - 2021
- [c6]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: 141-145 - [c5]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: 136-139 - [i1]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 abs/2102.10106 (2021)
2010 – 2019
- 2019
- [c4]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: 1197-1201 - 2018
- [j3]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): 315-320 (2018) - 2016
- [j2]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): 193-206 (2016) - 2015
- [j1]Douglas L. Jones, Erik C. Johnson, Rama Ratnam:
A stimulus-dependent spike threshold is an optimal neural coder. Frontiers Comput. Neurosci. 9: 61 (2015) - [c3]Erik C. Johnson, Douglas L. Jones, Rama Ratnam:
Minimum squared-error, energy-constrained encoding by adaptive threshold models of neurons. ISIT 2015: 1337-1341 - 2013
- [c2]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: 7060-7063 - [c1]Erik C. Johnson, Douglas L. Jones:
Joint recovery of sparse signals and parameter perturbations with parameterized measurement models. ICASSP 2013: 5900-5904
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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