Andrew Sornborger

Orcid: 0000-0001-8036-6624

According to our database1, Andrew Sornborger authored at least 42 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Neuromorphic on-chip reservoir computing with spiking neural network architectures.
CoRR, 2024

Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes.
CoRR, 2024

Probabilistic Flux Limiters.
CoRR, 2024

Spiking Neural Network-based Flight Controller.
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.
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.
Proceedings of the American Control Conference, 2024

2023
An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing.
Adv. Intell. Syst., August, 2023

An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing.
Adv. Intell. Syst., August, 2023

Binary operations on neuromorphic hardware with application to linear algebraic operations and stochastic equations.
Neuromorph. Comput. Eng., March, 2023

Efficient quantum linear solver algorithm with detailed running costs.
CoRR, 2023

Spiking LCA in a Neural Circuit with Dictionary Learning and Synaptic Normalization.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Spiking Neural Network-based Control Applied to an Underactuated System.
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.
Proceedings of the American Control Conference, 2023

2022
Inference-Based Quantum Sensing.
CoRR, 2022

Dynamical simulation via quantum machine learning with provable generalization.
CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.
CoRR, 2022

Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers.
CoRR, 2022

A Neuromorphic Normalization Algorithm for Stabilizing Synaptic Weights with Application to Dictionary Learning in LCA.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2021
Generalization in quantum machine learning from few training data.
CoRR, 2021

Machine Learning Changes the Rules for Flux Limiters.
CoRR, 2021

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware.
CoRR, 2021

Long-time simulations with high fidelity on quantum hardware.
CoRR, 2021

A neuromorphic control architecture inspired by the limbic system.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks.
CoRR, 2020

Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets.
CoRR, 2020

Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Mechanism for Synaptic Copy Between Neural Circuits.
Neural Comput., 2019

Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm.
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.
Quantum Inf. Process., 2018

Mutual Information and Information Gating in Synfire Chains.
Entropy, 2018

2016
Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains.
PLoS Comput. Biol., 2016

A multitaper, causal decomposition for stochastic, multivariate time series: Application to high-frequency calcium imaging data.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

A pulse-gated, predictive neural circuit.
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.
J. Comput. Neurosci., 2015

2012
Improved dimensionally-reduced visual cortical network using stochastic noise modeling.
J. Comput. Neurosci., 2012

2011
Near-real-time connectivity estimation for multivariate neural data.
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.
J. Comput. Neurosci., 2010

2007
Higher-order operator splitting methods for deterministic parabolic equations.
Int. J. Comput. Math., 2007

2003
Extraction of periodic multivariate signals: mapping of voltage-dependent dye fluorescence in the mouse heart.
IEEE Trans. Medical Imaging, 2003

Spatiotemporal analysis of optical imaging data.
NeuroImage, 2003

2002
A Population Study of Integrate-and-Fire-or-Burst Neurons.
Neural Comput., 2002


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