Andrew T. Sornborger

According to our database1, Andrew T. Sornborger authored at least 22 papers between 2010 and 2022.

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



In proceedings 
PhD thesis 




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

Generalization in quantum machine learning from few training data.
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

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

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

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

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

A mechanism for graded, dynamically routable current propagation in pulse-gated synfire chains and implications for information coding.
J. Comput. Neurosci., 2015

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

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

Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions.
J. Comput. Neurosci., 2010