9 citations · 13 across the 3 of their papers we have counts for
6 papers
Variable Binding for Sparse Distributed Representations: Theory and Applications
E. Paxon Frady, Denis Kleyko, Friedrich T. Sommer
Symbolic reasoning and neural networks are often considered incompatible approaches. Connectionist models known as Vector Symbolic Architectures (VSAs) can potentially bridge this…
Resonator networks for factoring distributed representations of data structures
E. Paxon Frady, Spencer Kent, Bruno A. Olshausen +1
The ability to encode and manipulate data structures with distributed neural representations could qualitatively enhance the capabilities of traditional neural networks by supporti…
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…
Robust computation with rhythmic spike patterns
E. Paxon Frady, Friedrich T. Sommer
Information coding by precise timing of spikes can be faster and more energy-efficient than traditional rate coding. However, spike-timing codes are often brittle, which has limite…
Theory of the superposition principle for randomized connectionist representations in neural networks
E. Paxon Frady, Denis Kleyko, Friedrich T. Sommer
To understand cognitive reasoning in the brain, it has been proposed that symbols and compositions of symbols are represented by activity patterns (vectors) in a large population o…
The Imaging Computational Microscope
E. Paxon Frady, William B. Kristan
The Imaging Computational Microscope (ICM) is a suite of computational tools for automated analysis of functional imaging data that runs under the cross-platform MATLAB environment…