Brian S. Robinson
Orcid: 0000-0003-3422-7011
According to our database1,
Brian S. Robinson
authored at least 22 papers
between 2012 and 2023.
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Bibliography
2023
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.
CoRR, 2023
Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
2022
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling.
CoRR, 2022
Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Phase component of frequency-domain functional near-infrared imaging improves decoding of motor-evoked neural activity.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
A spiking network model for semantic representation and replay-based association acquisition.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021
2020
Accelerating Estimation of a Multi-Input Multi-Output Model of the Hippocampus with a Parallel Computing Strategy.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2016
Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling.
Neural Comput., 2016
Decoding memory features from hippocampal spiking activities using sparse classification models.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Monte Carlo validation of spike-timing-dependent plasticity identification from spiking activity.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Nonlinear dynamical modeling of human hippocampal CA3-CA1 functional connectivity for memory prostheses.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Sparse generalized volterra model of human hippocampal spike train transformation for memory prostheses.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Estimation of a large-scale generalized Volterra model for neural ensembles with group lasso and local coordinate descent.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Implementing spiking neuron model and spike-timing-dependent plasticity with generalized Laguerre-Volterra models.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Generalized volterra kernel model identification of spike-timing-dependent plasticity from simulated spiking activity.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
The role of topography in the transformation of spatiotemporal patterns by a large-scale, biologically realistic model of the rat dentate gyrus.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Laguerre-volterra identification of spike-timing-dependent plasticity from spiking activity: A simulation study.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
The contribution of relative activation levels between populations of cells to network activity in a large-scale biologically realistic model of the hippocampus.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Implementation of topographically constrained connectivity for a large-scale biologically realistic model of the hippocampus.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Implementation of activity-dependent synaptic plasticity rules for a large-scale biologically realistic model of the hippocampus.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012