Andrew Sornborger

According to our database, Andrew Sornborger authored at least 42 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neuromorphic on-chip reservoir computing with spiking neural network architectures.

Samip Karki, Diego Chavez Arana, Andrew T. Sornborger, Francesco Caravelli

CoRR, 2024

Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes.

Alice Barthe, Marco Cerezo, Andrew T. Sornborger, Martin Larocca, Diego García-Martín

CoRR, 2024

Probabilistic Flux Limiters.

Nga T. T. Nguyen-Fotiadis, Robert Chiodi, Michael M. McKerns, Daniel Livescu, Andrew Sornborger

CoRR, 2024

Spiking Neural Network-based Flight Controller.

Diego Chavez Arana, Omar A. García A., Luis Rodolfo García Carrillo, Ignácio Rubio Scola, Eduardo Steed Espinoza, Andrew T. Sornborger

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Real-Time Implementation of a Spiking Neural Network-Based Control: An Application for the Ball and Plate System.

Diego Chavez Arana, Omar A. García A., Ignácio Rubio Scola, Eduardo Steed Espinoza, Luis Rodolfo García Carrillo, Andrew Sornborger

Proceedings of the American Control Conference, 2024

Spiking Neural Network-Based Control of an Unmanned Aerial System Implemented on a Customized Neural Flight Simulation Environment.

Omar A. García A., Diego Chavez Arana, Eduardo Steed Espinoza, Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Andrew T. Sornborger

Proceedings of the American Control Conference, 2024

2023

An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing.

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

Adv. Intell. Syst., August, 2023

An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing.

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

Adv. Intell. Syst., August, 2023

Binary operations on neuromorphic hardware with application to linear algebraic operations and stochastic equations.

Oleksandr Iaroshenko, Andrew T. Sornborger, Diego Chavez Arana

Neuromorph. Comput. Eng., March, 2023

Efficient quantum linear solver algorithm with detailed running costs.

David Jennings, Matteo Lostaglio, Sam Pallister, Andrew T. Sornborger, Yigit Subasi

CoRR, 2023

Spiking LCA in a Neural Circuit with Dictionary Learning and Synaptic Normalization.

Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Spiking Neural Network-based Control Applied to an Underactuated System.

Abel García-Barrientos, Diego Chavez Arana, Eduardo Steed Espinoza, Luis Rodolfo García Carrillo, António Osório-Cordero, Andrew T. Sornborger

Proceedings of the 20th International Conference on Electrical Engineering, 2023

Biologically plausible robust control with Neural Network weight reset for unmanned aircraft systems under impulsive disturbances.

Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Andrew T. Sornborger, João P. Hespanha

Proceedings of the American Control Conference, 2023

2022

Inference-Based Quantum Sensing.

Cinthia Huerta Alderete, Max Hunter Gordon, Frederic Sauvage, Akira Sone, Andrew T. Sornborger, Patrick J. Coles, Marco Cerezo

CoRR, 2022

Dynamical simulation via quantum machine learning with provable generalization.

Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.

Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes

CoRR, 2022

Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers.

Yen Ting Lin, Robert B. Lowrie, Denis Aslangil, Yigit Subasi, Andrew T. Sornborger

CoRR, 2022

A Neuromorphic Normalization Algorithm for Stabilizing Synaptic Weights with Application to Dictionary Learning in LCA.

Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2021

Generalization in quantum machine learning from few training data.

Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles

CoRR, 2021

Machine Learning Changes the Rules for Flux Limiters.

Nga Nguyen-Fotiadis, Michael M. McKerns, Andrew Sornborger

CoRR, 2021

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware.

Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger

CoRR, 2021

Long-time simulations with high fidelity on quantum hardware.

Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger

CoRR, 2021

A neuromorphic control architecture inspired by the limbic system.

Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Terrence C. Stewart, Andrew T. Sornborger

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Absence of Barren Plateaus in Quantum Convolutional Neural Networks.

Arthur Pesah, Marco Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2020

Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets.

Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2020

Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware.

Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model.

Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Mechanism for Synaptic Copy Between Neural Circuits.

Yuxiu Shao, Binxu Wang, Andrew T. Sornborger, Louis Tao

Neural Comput., 2019

Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm.

Yijing Watkins, Austin Thresher, Peter F. Schultz, Andreas Wild, Andrew Sornborger, Garrett T. Kenyon

Proceedings of the International Conference on Neuromorphic Systems, 2019

2018

Toward prethreshold gate-based quantum simulation of chemical dynamics: using potential energy surfaces to simulate few-channel molecular collisions.

Andrew T. Sornborger, Phillip Stancil, Michael R. Geller

Quantum Inf. Process., 2018

Mutual Information and Information Gating in Synfire Chains.

Zhuocheng Xiao, Binxu Wang, Andrew T. Sornborger, Louis Tao

Entropy, 2018

2016

Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains.

Zhuo Wang, Andrew T. Sornborger, Louis Tao

PLoS Comput. Biol., 2016

A multitaper, causal decomposition for stochastic, multivariate time series: Application to high-frequency calcium imaging data.

Andrew T. Sornborger, James D. Lauderdale

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

A pulse-gated, predictive neural circuit.

Yuxiu Shao, Andrew T. Sornborger, Louis Tao

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

A mechanism for graded, dynamically routable current propagation in pulse-gated synfire chains and implications for information coding.

Andrew T. Sornborger, Zhuo Wang, Louis Tao

J. Comput. Neurosci., 2015

2012

Improved dimensionally-reduced visual cortical network using stochastic noise modeling.

Louis Tao, Jeremy L. Praissman, Andrew T. Sornborger

J. Comput. Neurosci., 2012

2011

Near-real-time connectivity estimation for multivariate neural data.

Anne C. Smith, Christopher P. Fall, Andrew T. Sornborger

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions.

Louis Tao, Andrew T. Sornborger

J. Comput. Neurosci., 2010

2007

Higher-order operator splitting methods for deterministic parabolic equations.

Andrew T. Sornborger

Int. J. Comput. Math., 2007

2003

Extraction of periodic multivariate signals: mapping of voltage-dependent dye fluorescence in the mouse heart.

Andrew T. Sornborger, Lawrence Sirovich, Gregory Morley

IEEE Trans. Medical Imaging, 2003

Spatiotemporal analysis of optical imaging data.

Andrew T. Sornborger, C. Sailstad, Ehud Kaplan, L. Sirovich

NeuroImage, 2003

2002

A Population Study of Integrate-and-Fire-or-Burst Neurons.

Alex Casti, Ahmet Omurtag, Andrew T. Sornborger, Ehud Kaplan, Bruce W. Knight, Jonathan D. Victor, L. Sirovich

Neural Comput., 2002