Edward Paxon Frady

Leobardo Campos-Macias

Mike Davies

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Efficient Decoding of Compositional Structure in Holistic Representations.

[BibT_eX]

[DOI]

Neural Comput., July, 2023

Variable Binding for Sparse Distributed Representations: Theory and Applications.

[BibT_eX]

[DOI]

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

Computing with Residue Numbers in High-Dimensional Representation.

[BibT_eX]

[DOI]

CoRR, 2023

Learning and generalization of compositional representations of visual scenes.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Efficient Neuromorphic Signal Processing with Resonator Neurons.

[BibT_eX]

[DOI]

Sophia Sanborn

Sumit Bam Shrestha

Daniel Ben Dayan Rubin

Garrick Orchard

Mike Davies

J. Signal Process. Syst., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.

[BibT_eX]

[DOI]

Dmitri A. Rachkovskij

Abbas Rahimi

Proc. IEEE, 2022

Neuromorphic Visual Odometry with Resonator Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning in Spiking Phasor Neural Networks.

[BibT_eX]

[DOI]

Connor Bybee

CoRR, 2022

Integer Factorization with Compositional Distributed Representations.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Computing on Functions Using Randomized Vector Representations.

[BibT_eX]

[DOI]

CoRR, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.

[BibT_eX]

[DOI]

Dmitri A. Rachkovskij

Abbas Rahimi

CoRR, 2021

Efficient Neuromorphic Signal Processing with Loihi 2.

[BibT_eX]

[DOI]

Garrick Orchard

Daniel Ben Dayan Rubin

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

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

[BibT_eX]

[DOI]

Neural Comput., 2020

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

[BibT_eX]

[DOI]

Neural Comput., 2020

Perceptron Theory for Predicting the Accuracy of Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Resonator networks for factoring distributed representations of data structures.

[BibT_eX]

[DOI]

CoRR, 2020

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs.

[BibT_eX]

[DOI]

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

2019

Resonator Circuits for factoring high-dimensional vectors.

[BibT_eX]

[DOI]

CoRR, 2019

Robust computation with rhythmic spike patterns.

[BibT_eX]

[DOI]

CoRR, 2019

2018

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

[BibT_eX]

[DOI]

Neural Comput., 2018

2017

High-Dimensional Computing as a Nanoscalable Paradigm.

[BibT_eX]

[DOI]

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

Integer Echo State Networks: Hyperdimensional Reservoir Computing.

[BibT_eX]

[DOI]

Evgeny Osipov

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

2016

Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks.

[BibT_eX]

[DOI]

Ashish Kapoor

Eric Horvitz

William B. Kristan Jr.

Neural Comput., 2016

2015

Inferring and Learning from Neuronal Correspondences.

[BibT_eX]

[DOI]

Ashish Kapoor

Stefanie Jegelka

William B. Kristan Jr.

Eric Horvitz

CoRR, 2015

2014

Computation with Population Codes.

[BibT_eX]

[DOI]

William B. Kristan Jr.

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2008

Using semantic content as cues for better scanpath prediction.

[BibT_eX]

[DOI]

Moran Cerf