Towards a large-scale biologically realistic model of the hippocampus. - Phillip J. Hendrickson; Gene J. Yu; Brian S. Robinson; Dong Song; Theodore W. Berger (EMBC, 2012)

Implementation of activity-dependent synaptic plasticity rules for a large-scale biologically realistic model of the hippocampus. - Brian S. Robinson; Gene J. Yu; Phillip J. Hendrickson; Dong Song; Theodore W. Berger (EMBC, 2012)

Implementation of topographically constrained connectivity for a large-scale biologically realistic model of the hippocampus. - Gene J. Yu; Brian S. Robinson; Phillip J. Hendrickson; Dong Song; Theodore W. Berger (EMBC, 2012)

The contribution of relative activation levels between populations of cells to network activity in a large-scale biologically realistic model of the hippocampus. - Phillip J. Hendrickson; Gene J. Yu; Brian S. Robinson; Dong Song; Theodore W. Berger (EMBC, 2013)

Laguerre-volterra identification of spike-timing-dependent plasticity from spiking activity: A simulation study. - Brian S. Robinson; Dong Song; Theodore W. Berger (EMBC, 2013)

The role of topography in the transformation of spatiotemporal patterns by a large-scale, biologically realistic model of the rat dentate gyrus. - Gene J. Yu; Phillip J. Hendrickson; Brian S. Robinson; Dong Song; Theodore W. Berger (EMBC, 2013)

Generalized volterra kernel model identification of spike-timing-dependent plasticity from simulated spiking activity. - Brian S. Robinson; Dong Song; Theodore W. Berger (EMBC, 2014)

Implementing spiking neuron model and spike-timing-dependent plasticity with generalized Laguerre-Volterra models. - Dong Song; Brian S. Robinson; John J. Granacki; Theodore W. Berger (EMBC, 2014)

Estimation of a large-scale generalized Volterra model for neural ensembles with group lasso and local coordinate descent. - Brian S. Robinson; Dong Song; Theodore W. Berger (EMBC, 2015)

Sparse generalized volterra model of human hippocampal spike train transformation for memory prostheses. - Dong Song; Brian S. Robinson; Robert E. Hampson; Vasilis Z. Marmarelis; Sam A. Deadwyler; Theodore W. Berger (EMBC, 2015)

Nonlinear dynamical modeling of human hippocampal CA3-CA1 functional connectivity for memory prostheses. - Dong Song; Robert E. Hampson; Brian S. Robinson; Ioan Opris; Vasilis Z. Marmarelis; Sam A. Deadwyler; Theodore W. Berger (NER, 2015)

Monte Carlo validation of spike-timing-dependent plasticity identification from spiking activity. - Brian S. Robinson; Theodore W. Berger; Dong Song (EMBC, 2016)

Decoding memory features from hippocampal spiking activities using sparse classification models. - Dong Song; Robert E. Hampson; Brian S. Robinson; Vasilis Z. Marmarelis; Sam A. Deadwyler; Theodore W. Berger (EMBC, 2016)

Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling. - Brian S. Robinson; Theodore W. Berger; Dong Song (Neural Comput., 2016)

Accelerating Estimation of a Multi-Input Multi-Output Model of the Hippocampus with a Parallel Computing Strategy. - Xiwei She; Brian S. Robinson; Theodore W. Berger; Dong Song (EMBC, 2020)

A spiking network model for semantic representation and replay-based association acquisition. - Brian S. Robinson; Adam Polevoy; Sean McDaniel; Will Coon; Clara A. Scholl; Mark McLean; Erik Johnson (ICONS, 2021)

Phase component of frequency-domain functional near-infrared imaging improves decoding of motor-evoked neural activity. - Margaret C. Thompson; Brian S. Robinson; Griffin W. Milsap; Jeremiah J. Wathen; Michael J. Fitch; Clara A. Scholl; Scott M. Hendrickson (NER, 2021)

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 (IJCNN, 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 (IJCNN, 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)

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 (ICONS, 2023)

A sparse null code emerges in deep neural networks. - Brian S. Robinson; Nathan Drenkow; Colin Conwell; Michael F. Bonner (UniReps, 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; et al. (CoRR, 2023)