activity
20152026
most citedVector Symbolic Architectures as a Computing Framework for Emerging Hardware

82 citations · 259 across the 22 of their papers we have counts for

collaborators

26 papers

cs.LG2026

CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras

Elvin Hajizada, Michael Neumeier, Edward Paxon Frady +4

Recognizing and continuously learning novel human actions without forgetting prior classes is a requirement for emerging AR/VR and robotics applications. For these applications, bo…

cs.CV2026

Generalized multi-object classification and tracking with sparse feature resonator networks

Lazar Supic, Alec Mullen, E. Paxon Frady

In visual scene understanding tasks, it is essential to capture both invariant and equivariant structure. While neural networks are frequently trained to achieve invariance to tran…

q-bio.NC2026

Emergence of unique hues from sparse coding of color in natural scenes

Alexander Belsten, E. Paxon Frady, Bruno A. Olshausen

Our subjective experience of color is typically described by abstract properties such as hue, saturation, and brightness that do not directly correspond to sensory signals arising…

cs.NE2025

Towards a Comprehensive Theory of Reservoir Computing

Denis Kleyko, Christopher J. Kymn, E. Paxon Frady +2

In reservoir computing, an input sequence is processed by a recurrent neural network, the reservoir, which transforms it into a spatial pattern that a shallow readout network can t…

cs.NE2023★ 1 cited

Computing with Residue Numbers in High-Dimensional Representation

Christopher J. Kymn, Denis Kleyko, E. Paxon Frady +4

We introduce Residue Hyperdimensional Computing, a computing framework that unifies residue number systems with an algebra defined over random, high-dimensional vectors. We show ho…

cs.NE2023★ 13 cited

Efficient Decoding of Compositional Structure in Holistic Representations

Denis Kleyko, Connor Bybee, Ping-Chen Huang +4

We investigate the task of retrieving information from compositional distributed representations formed by Hyperdimensional Computing/Vector Symbolic Architectures and present nove…