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2020 – today
- 2024
[i3]Jung H. Lee, Sujith Vijayan:
Searching for internal symbols underlying deep learning. CoRR abs/2405.20605 (2024)- 2023
- [i2]Jung Hoon Lee, Sujith Vijayan:
Having Second Thoughts? Let's hear it. CoRR abs/2311.15356 (2023) - 2022
- [j3]Jung Hoon Lee, Joji Tsunada, Sujith Vijayan
, Yale E. Cohen:
Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study. Frontiers Comput. Neurosci. 16 (2022) - [i1]Jung Hoon Lee, Sujith Vijayan:
Analysis of functional neural codes of deep learning models. CoRR abs/2205.10952 (2022) - 2020
- [j2]Jung Hoon Lee, Mean-Hwan Kim, Sujith Vijayan:
Temporal learning of bottom-up connections via spatially nonspecific top-down inputs. Neurocomputing 411: 128-138 (2020)
2010 – 2019
- 2019
- [c3]Naresh Nagabushan, Taber Fisher, Giovanni Malaty, Mark Witcher, Sujith Vijayan:
A comparative study of motor imagery based BCI classifiers on EEG and iEEG data. GlobalSIP 2019: 1-5 - 2017
- [c2]Kyle Q. Lepage, Sujith Vijayan:
System identification for sleep-mediated, stimulation-enhanced memory consolidation. ACSSC 2017: 336-343 - 2011
- [c1]Zhe Chen, Sujith Vijayan, ShiNung Ching, Greg Hale, Francisco J. Flores, Matthew A. Wilson, Emery N. Brown:
Assessing neuronal interactions of cell assemblies during general anesthesia. EMBC 2011: 4175-4178
2000 – 2009
- 2009
- [j1]Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A. Wilson, Emery N. Brown:
Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States. Neural Comput. 21(7): 1797-1862 (2009)
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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