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2020 – today
- 2024
[c14]Diego Chavez Arana, Omar A. García A., Ignácio Rubio Scola, Eduardo Steed Espinoza, Luis Rodolfo García Carrillo, Andrew Sornborger:
Real-Time Implementation of a Spiking Neural Network-Based Control: An Application for the Ball and Plate System. ACC 2024: 3100-3105- [c13]Omar A. García A., Diego Chavez Arana, Eduardo Steed Espinoza, Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Andrew T. Sornborger:
Spiking Neural Network-Based Control of an Unmanned Aerial System Implemented on a Customized Neural Flight Simulation Environment. ACC 2024: 3124-3129 - [c12]Diego Chavez Arana
, Omar A. García A., Luis Rodolfo García Carrillo, Ignácio Rubio Scola, Eduardo Steed Espinoza, Andrew T. Sornborger:
Spiking Neural Network-based Flight Controller. NICE 2024: 1-8 - [i14]Nga T. T. Nguyen-Fotiadis, Robert Chiodi, Michael M. McKerns, Daniel Livescu, Andrew Sornborger:
Probabilistic Flux Limiters. CoRR abs/2405.08185 (2024) - [i13]Alice Barthe, Marco Cerezo, Andrew T. Sornborger, Martin Larocca, Diego García-Martín:
Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes. CoRR abs/2407.06290 (2024) - [i12]Samip Karki, Diego Chavez Arana, Andrew T. Sornborger, Francesco Caravelli:
Neuromorphic on-chip reservoir computing with spiking neural network architectures. CoRR abs/2407.20547 (2024) - 2023
- [j14]Sundar Kunwar, Zachary Jernigan, Zach Hughes, Chase Somodi, Michael Saccone, Francesco Caravelli, Pinku Roy, Di Zhang, Haiyan Wang, Quanxi Jia, Judith L. MacManus-Driscoll, Garrett T. Kenyon, Andrew Sornborger, Wanyi Nie, Aiping Chen:
An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing. Adv. Intell. Syst. 5(8) (2023) - [j13]Sundar Kunwar, Zachary Jernigan, Zach Hughes, Chase Somodi, Michael D. Saccone, Francesco Caravelli, Pinku Roy, Di Zhang, Haiyan Wang, Quanxi Jia, Judith L. MacManus-Driscoll, Garrett T. Kenyon, Andrew Sornborger, Wanyi Nie, Aiping Chen:
An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing. Adv. Intell. Syst. 5(8) (2023) - [j12]Oleksandr Iaroshenko, Andrew T. Sornborger, Diego Chavez Arana:
Binary operations on neuromorphic hardware with application to linear algebraic operations and stochastic equations. Neuromorph. Comput. Eng. 3(1): 14002 (2023) - [c11]Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Andrew T. Sornborger, João P. Hespanha:
Biologically plausible robust control with Neural Network weight reset for unmanned aircraft systems under impulsive disturbances. ACC 2023: 4924-4929 - [c10]Abel García-Barrientos, Diego Chavez Arana, Eduardo Steed Espinoza, Luis Rodolfo García Carrillo, António Osório-Cordero, Andrew T. Sornborger:
Spiking Neural Network-based Control Applied to an Underactuated System. CCE 2023: 1-6 - [c9]Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger:
Spiking LCA in a Neural Circuit with Dictionary Learning and Synaptic Normalization. NICE 2023: 47-51 - [i11]David Jennings, Matteo Lostaglio, Sam Pallister, Andrew T. Sornborger, Yigit Subasi:
Efficient quantum linear solver algorithm with detailed running costs. CoRR abs/2305.11352 (2023) - 2022
- [c8]Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger:
A Neuromorphic Normalization Algorithm for Stabilizing Synaptic Weights with Application to Dictionary Learning in LCA. NICE 2022: 58-60 - [i10]Yen Ting Lin, Robert B. Lowrie, Denis Aslangil, Yigit Subasi, Andrew T. Sornborger:
Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers. CoRR abs/2202.02188 (2022) - [i9]Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes:
Out-of-distribution generalization for learning quantum dynamics. CoRR abs/2204.10268 (2022) - [i8]Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles:
Dynamical simulation via quantum machine learning with provable generalization. CoRR abs/2204.10269 (2022) - [i7]Cinthia Huerta Alderete, Max Hunter Gordon, Frederic Sauvage, Akira Sone, Andrew T. Sornborger, Patrick J. Coles, Marco Cerezo:
Inference-Based Quantum Sensing. CoRR abs/2206.09919 (2022) - 2021
- [c7]Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Terrence C. Stewart, Andrew T. Sornborger:
A neuromorphic control architecture inspired by the limbic system. CDC 2021: 1413-1418 - [i6]Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger:
Long-time simulations with high fidelity on quantum hardware. CoRR abs/2102.04313 (2021) - [i5]Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger:
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware. CoRR abs/2106.07030 (2021) - [i4]Nga Nguyen-Fotiadis, Michael M. McKerns, Andrew Sornborger:
Machine Learning Changes the Rules for Flux Limiters. CoRR abs/2108.11864 (2021) - [i3]Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles:
Generalization in quantum machine learning from few training data. CoRR abs/2111.05292 (2021) - 2020
- [c6]Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon:
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model. CVPR Workshops 2020: 1482-1487 - [c5]Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger:
Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware. NICE 2020: 12:1-12:3 - [i2]Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles:
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets. CoRR abs/2007.04900 (2020) - [i1]Arthur Pesah, Marco Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, Patrick J. Coles:
Absence of Barren Plateaus in Quantum Convolutional Neural Networks. CoRR abs/2011.02966 (2020)
2010 – 2019
- 2019
- [j11]Yuxiu Shao, Binxu Wang, Andrew T. Sornborger, Louis Tao:
A Mechanism for Synaptic Copy Between Neural Circuits. Neural Comput. 31(10): 1964-1984 (2019) - [c4]Yijing Watkins, Austin Thresher, Peter F. Schultz, Andreas Wild, Andrew Sornborger, Garrett T. Kenyon:
Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm. ICONS 2019: 11:1-11:5 - 2018
- [j10]Zhuocheng Xiao, Binxu Wang, Andrew T. Sornborger, Louis Tao:
Mutual Information and Information Gating in Synfire Chains. Entropy 20(2): 102 (2018) - [j9]Andrew T. Sornborger, Phillip Stancil, Michael R. Geller:
Toward prethreshold gate-based quantum simulation of chemical dynamics: using potential energy surfaces to simulate few-channel molecular collisions. Quantum Inf. Process. 17(5): 106 (2018) - 2016
- [j8]Zhuo Wang, Andrew T. Sornborger, Louis Tao:
Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains. PLoS Comput. Biol. 12(6) (2016) - [c3]Yuxiu Shao, Andrew T. Sornborger, Louis Tao:
A pulse-gated, predictive neural circuit. ACSSC 2016: 1051-1055 - [c2]Andrew T. Sornborger, James D. Lauderdale:
A multitaper, causal decomposition for stochastic, multivariate time series: Application to high-frequency calcium imaging data. ACSSC 2016: 1056-1060 - 2015
- [j7]Andrew T. Sornborger, Zhuo Wang, Louis Tao:
A mechanism for graded, dynamically routable current propagation in pulse-gated synfire chains and implications for information coding. J. Comput. Neurosci. 39(2): 181-195 (2015) - 2012
- [j6]Louis Tao, Jeremy L. Praissman, Andrew T. Sornborger:
Improved dimensionally-reduced visual cortical network using stochastic noise modeling. J. Comput. Neurosci. 32(2): 367-376 (2012) - 2011
- [c1]Anne C. Smith, Christopher P. Fall, Andrew T. Sornborger:
Near-real-time connectivity estimation for multivariate neural data. EMBC 2011: 4721-4724 - 2010
- [j5]Louis Tao, Andrew T. Sornborger:
Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions. J. Comput. Neurosci. 28(1): 91-106 (2010)
2000 – 2009
- 2007
- [j4]Andrew T. Sornborger:
Higher-order operator splitting methods for deterministic parabolic equations. Int. J. Comput. Math. 84(6): 887-893 (2007) - 2003
- [j3]Andrew T. Sornborger, C. Sailstad, Ehud Kaplan, L. Sirovich:
Spatiotemporal analysis of optical imaging data. NeuroImage 18(3): 610-621 (2003) - [j2]Andrew T. Sornborger, Lawrence Sirovich, Gregory Morley:
Extraction of periodic multivariate signals: mapping of voltage-dependent dye fluorescence in the mouse heart. IEEE Trans. Medical Imaging 22(12): 1537-1549 (2003) - 2002
- [j1]Alex Casti, Ahmet Omurtag, Andrew T. Sornborger, Ehud Kaplan, Bruce W. Knight, Jonathan D. Victor, L. Sirovich:
A Population Study of Integrate-and-Fire-or-Burst Neurons. Neural Comput. 14(5): 957-986 (2002)
Coauthor Index
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