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2020 – today
- 2023
[c20]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- [c19]Brian S. Robinson, Nathan Drenkow, Colin Conwell, Michael F. Bonner:
A sparse null code emerges in deep neural networks. UniReps 2023: 302-314 - [i2]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
- [c18]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 - [c17]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 - [i1]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
- [c16]Brian S. Robinson, Adam Polevoy, Sean McDaniel, Will Coon, Clara A. Scholl, Mark McLean, Erik Johnson:
A spiking network model for semantic representation and replay-based association acquisition. ICONS 2021: 25:1-25:8 - [c15]Margaret C. Thompson, Brian S. Robinson, Griffin W. Milsap, Jeremiah J. Wathen, Michael J. Fitch, Clara A. Scholl, Scott M. Hendrickson:
Phase component of frequency-domain functional near-infrared imaging improves decoding of motor-evoked neural activity. NER 2021: 365-369 - 2020
- [c14]Xiwei She, Brian S. Robinson, Theodore W. Berger, Dong Song:
Accelerating Estimation of a Multi-Input Multi-Output Model of the Hippocampus with a Parallel Computing Strategy. EMBC 2020: 2479-2482
2010 – 2019
- 2016
- [j1]Brian S. Robinson, Theodore W. Berger, Dong Song:
Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling. Neural Comput. 28(11): 2320-2351 (2016) - [c13]Dong Song, Robert E. Hampson, Brian S. Robinson, Vasilis Z. Marmarelis, Sam A. Deadwyler, Theodore W. Berger:
Decoding memory features from hippocampal spiking activities using sparse classification models. EMBC 2016: 1620-1623 - [c12]Brian S. Robinson, Theodore W. Berger, Dong Song:
Monte Carlo validation of spike-timing-dependent plasticity identification from spiking activity. EMBC 2016: 1624-1627 - 2015
- [c11]Brian S. Robinson, Dong Song, Theodore W. Berger:
Estimation of a large-scale generalized Volterra model for neural ensembles with group lasso and local coordinate descent. EMBC 2015: 2526-2529 - [c10]Dong Song, Brian S. Robinson, Robert E. Hampson, Vasilis Z. Marmarelis, Sam A. Deadwyler, Theodore W. Berger:
Sparse generalized volterra model of human hippocampal spike train transformation for memory prostheses. EMBC 2015: 3961-3964 - [c9]Dong Song, Robert E. Hampson, Brian S. Robinson, Ioan Opris, Vasilis Z. Marmarelis, Sam A. Deadwyler, Theodore W. Berger:
Nonlinear dynamical modeling of human hippocampal CA3-CA1 functional connectivity for memory prostheses. NER 2015: 316-319 - 2014
- [c8]Dong Song, Brian S. Robinson, John J. Granacki, Theodore W. Berger:
Implementing spiking neuron model and spike-timing-dependent plasticity with generalized Laguerre-Volterra models. EMBC 2014: 714-717 - [c7]Brian S. Robinson, Dong Song, Theodore W. Berger:
Generalized volterra kernel model identification of spike-timing-dependent plasticity from simulated spiking activity. EMBC 2014: 6585-6588 - 2013
- [c6]Brian S. Robinson, Dong Song, Theodore W. Berger:
Laguerre-volterra identification of spike-timing-dependent plasticity from spiking activity: A simulation study. EMBC 2013: 5578-5581 - [c5]Gene J. Yu, Phillip J. Hendrickson, Brian S. Robinson, Dong Song, Theodore W. Berger:
The role of topography in the transformation of spatiotemporal patterns by a large-scale, biologically realistic model of the rat dentate gyrus. EMBC 2013: 5950-5953 - [c4]Phillip J. Hendrickson, Gene J. Yu, Brian S. Robinson, Dong Song, Theodore W. Berger:
The contribution of relative activation levels between populations of cells to network activity in a large-scale biologically realistic model of the hippocampus. EMBC 2013: 5962-5965 - 2012
- [c3]Gene J. Yu, Brian S. Robinson, Phillip J. Hendrickson, Dong Song, Theodore W. Berger:
Implementation of topographically constrained connectivity for a large-scale biologically realistic model of the hippocampus. EMBC 2012: 1358-1361 - [c2]Brian S. Robinson, Gene J. Yu, Phillip J. Hendrickson, Dong Song, Theodore W. Berger:
Implementation of activity-dependent synaptic plasticity rules for a large-scale biologically realistic model of the hippocampus. EMBC 2012: 1366-1369 - [c1]Phillip J. Hendrickson, Gene J. Yu, Brian S. Robinson, Dong Song, Theodore W. Berger:
Towards a large-scale biologically realistic model of the hippocampus. EMBC 2012: 4595-4598
Coauthor Index
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