Edward Paxon Frady

According to our database, Edward Paxon Frady authored at least 34 papers between 2008 and 2023.

Collaborative distances:

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

2023

Efficient Decoding of Compositional Structure in Holistic Representations.

Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer

Neural Comput., July, 2023

Variable Binding for Sparse Distributed Representations: Theory and Applications.

Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Computing with Residue Numbers in High-Dimensional Representation.

Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen

CoRR, 2023

Efficient Video and Audio processing with Loihi 2.

Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies

CoRR, 2023

Learning and generalization of compositional representations of visual scenes.

Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer

CoRR, 2023

2022

Efficient Neuromorphic Signal Processing with Resonator Neurons.

Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies

J. Signal Process. Syst., 2022

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing.

Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer

IEEE Trans. Neural Networks Learn. Syst., 2022

Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware.

Denis Kleyko, Edward Paxon Frady, Mansour Kheffache, Evgeny Osipov

IEEE Trans. Neural Networks Learn. Syst., 2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.

Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer

Proc. IEEE, 2022

Neuromorphic Visual Odometry with Resonator Networks.

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya

CoRR, 2022

Neuromorphic Visual Scene Understanding with Resonator Networks.

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady

CoRR, 2022

Deep Learning in Spiking Phasor Neural Networks.

Connor Bybee, Edward Paxon Frady, Friedrich T. Sommer

CoRR, 2022

Integer Factorization with Compositional Distributed Representations.

Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady

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

Computing on Functions Using Randomized Vector Representations (in brief).

Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer

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

Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays.

Alpha Renner, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks.

Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov

IEEE Trans. Neural Networks Learn. Syst., 2021

Computing on Functions Using Randomized Vector Representations.

Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer

CoRR, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.

Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer

CoRR, 2021

Efficient Neuromorphic Signal Processing with Loihi 2.

Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

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

Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen

Neural Comput., 2020

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

Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer

Neural Comput., 2020

Perceptron Theory for Predicting the Accuracy of Neural Networks.

Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer

CoRR, 2020

Resonator networks for factoring distributed representations of data structures.

Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer

CoRR, 2020

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs.

Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies

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

2019

Resonator Circuits for factoring high-dimensional vectors.

Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen

CoRR, 2019

Robust computation with rhythmic spike patterns.

Edward Paxon Frady, Friedrich T. Sommer

CoRR, 2019

2018

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

Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer

Neural Comput., 2018

2017

High-Dimensional Computing as a Nanoscalable Paradigm.

Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey

IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Integer Echo State Networks: Hyperdimensional Reservoir Computing.

Denis Kleyko, Edward Paxon Frady, Evgeny Osipov

CoRR, 2017

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

Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer

CoRR, 2017

2016

Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks.

Edward Paxon Frady, Ashish Kapoor, Eric Horvitz, William B. Kristan Jr.

Neural Comput., 2016

2015

Inferring and Learning from Neuronal Correspondences.

Ashish Kapoor, Edward Paxon Frady, Stefanie Jegelka, William B. Kristan Jr., Eric Horvitz

CoRR, 2015

2014

Computation with Population Codes.

Edward Paxon Frady, William B. Kristan Jr.

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2008

Using semantic content as cues for better scanpath prediction.

Moran Cerf, Edward Paxon Frady, Christof Koch

Proceedings of the Eye Tracking Research & Application Symposium, 2008