activity
20192023
most citedVector Symbolic Architectures as a Computing Framework for Emerging Hardware

82 citations · 84 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NE2023★ 1 cited

The Intel Neuromorphic DNS Challenge

Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin +5

A critical enabler for progress in neuromorphic computing research is the ability to transparently evaluate different neuromorphic solutions on important tasks and to compare them…

cs.ET2021

Efficient Neuromorphic Signal Processing with Loihi 2

Garrick Orchard, E. Paxon Frady, Daniel Ben Dayan Rubin +4

The biologically inspired spiking neurons used in neuromorphic computing are nonlinear filters with dynamic state variables -- very different from the stateless neuron models used…

cs.AR2021★ 82 cited

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware

Denis Kleyko, Mike Davies, E. Paxon Frady +8

This article reviews recent progress in the development of the computing framework vector symbolic architectures (VSA) (also known as hyperdimensional computing). This framework is…

cs.NE2020

Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs

E. Paxon Frady, Garrick Orchard, David Florey +7

Neuromorphic computing applies insights from neuroscience to uncover innovations in computing technology. In the brain, billions of interconnected neurons perform rapid computation…

cs.CV2019★ 1 cited

A Deep DUAL-PATH Network for Improved Mammogram Image Processing

Heyi Li, Dongdong Chen, William H. Nailon +2

We present, for the first time, a novel deep neural network architecture called \dcn with a dual-path connection between the input image and output class label for mammogram image…