Edward Paxon Frady

According to our database1, Edward Paxon Frady authored at least 28 papers between 2008 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Efficient Neuromorphic Signal Processing with Resonator Neurons.
J. Signal Process. Syst., 2022

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing.
IEEE Trans. Neural Networks Learn. Syst., 2022

Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware.
IEEE Trans. Neural Networks Learn. Syst., 2022

Neuromorphic Visual Odometry with Resonator Networks.
CoRR, 2022

Neuromorphic Visual Scene Understanding with Resonator Networks.
CoRR, 2022

Deep Learning in Spiking Phasor Neural Networks.
CoRR, 2022

Integer Factorization with Compositional Distributed Representations.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Computing on Functions Using Randomized Vector Representations (in brief).
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2021
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021

Computing on Functions Using Randomized Vector Representations.
CoRR, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.
CoRR, 2021

Efficient Neuromorphic Signal Processing with Loihi 2.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods.
Neural Comput., 2020

Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures.
Neural Comput., 2020

Perceptron Theory for Predicting the Accuracy of Neural Networks.
CoRR, 2020

Variable Binding for Sparse Distributed Representations: Theory and Applications.
CoRR, 2020

Resonator networks for factoring distributed representations of data structures.
CoRR, 2020

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019
Resonator Circuits for factoring high-dimensional vectors.
CoRR, 2019

Robust computation with rhythmic spike patterns.
CoRR, 2019

2018
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks.
Neural Comput., 2018

2017
High-Dimensional Computing as a Nanoscalable Paradigm.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Integer Echo State Networks: Hyperdimensional Reservoir Computing.
CoRR, 2017

Theory of the superposition principle for randomized connectionist representations in neural networks.
CoRR, 2017

2016
Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks.
Neural Comput., 2016

2015
Inferring and Learning from Neuronal Correspondences.
CoRR, 2015

2014
Computation with Population Codes.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2008
Using semantic content as cues for better scanpath prediction.
Proceedings of the Eye Tracking Research & Application Symposium, 2008


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