Andrew T. Sornborger

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 26

Top Topics

Network Architecture

Dictionary Learning

Backpropagation Algorithm

Top Venues

J. Comput. Neurosci.

Publications

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)
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 (2024)
Samip Karki, Diego Chavez Arana, Andrew T. Sornborger, Francesco Caravelli
Neuromorphic on-chip reservoir computing with spiking neural network architectures. CoRR (2024)
Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger
Spiking LCA in a Neural Circuit with Dictionary Learning and Synaptic Normalization. NICE (2023)
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) (2023)
David Jennings, Matteo Lostaglio, Sam Pallister, Andrew T. Sornborger, Yigit Subasi
Efficient quantum linear solver algorithm with detailed running costs. CoRR (2023)
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)
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)
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 (2022)
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 (2022)
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 (2022)
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)
Cinthia Huerta Alderete, Max Hunter Gordon, Frederic Sauvage, Akira Sone, Andrew T. Sornborger, Patrick J. Coles, Marco Cerezo
Inference-Based Quantum Sensing. CoRR (2022)
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles
Generalization in quantum machine learning from few training data. CoRR (2021)
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 (2021)
Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware. CoRR (2021)
Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Terrence C. Stewart, Andrew T. Sornborger
A neuromorphic control architecture inspired by the limbic system. CDC (2021)
Arthur Pesah, M. Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, Patrick J. Coles
Absence of Barren Plateaus in Quantum Convolutional Neural Networks. CoRR (2020)
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 (2020)
Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger
Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware. NICE (2020)
Yuxiu Shao, Binxu Wang, Andrew T. Sornborger, Louis Tao
A Mechanism for Synaptic Copy Between Neural Circuits. Neural Comput. 31 (10) (2019)
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) (2018)
Zhuocheng Xiao, Binxu Wang, Andrew T. Sornborger, Louis Tao
Mutual Information and Information Gating in Synfire Chains. Entropy 20 (2) (2018)
Andrew T. Sornborger, James D. Lauderdale
A multitaper, causal decomposition for stochastic, multivariate time series: Application to high-frequency calcium imaging data. ACSSC (2016)
Zhuo Wang, Andrew T. Sornborger, Louis Tao
Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains. PLoS Comput. Biol. 12 (6) (2016)
Yuxiu Shao, Andrew T. Sornborger, Louis Tao
A pulse-gated, predictive neural circuit. ACSSC (2016)
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) (2015)
Louis Tao, Jeremy L. Praissman, Andrew T. Sornborger
Improved dimensionally-reduced visual cortical network using stochastic noise modeling. J. Comput. Neurosci. 32 (2) (2012)
Anne C. Smith, Christopher P. Fall, Andrew T. Sornborger
Near-real-time connectivity estimation for multivariate neural data. EMBC (2011)
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) (2010)