activity
20162025
most citedWhetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication

96 citations · 189 across the 8 of their papers we have counts for

collaborators

10 papers

cs.DC2025

Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2

Felix Wang, Bradley H. Theilman, Fred Rothganger +3

We demonstrate the first-ever nontrivial, biologically realistic connectome simulated on neuromorphic computing hardware. Specifically, we implement the whole-brain connectome of t…

cs.NE2023

Neuromorphic Co-Design as a Game

Craig M. Vineyard, William M. Severa, James B. Aimone

Co-design is a prominent topic presently in computing, speaking to the mutual benefit of coordinating design choices of several layers in the technology stack. For example, this ma…

cs.NE2022

Spiking Neural Streaming Binary Arithmetic

James B. Aimone, Aaron J. Hill, William M. Severa +1

Boolean functions and binary arithmetic operations are central to standard computing paradigms. Accordingly, many advances in computing have focused upon how to make these operatio…

physics.optics2021

Co-Design of Free-Space Metasurface Optical Neuromorphic Classifiers for High Performance

François Léonard, Adam S. Backer, Elliot J. Fuller +2

Classification of features in a scene typically requires conversion of the incoming photonic field into the electronic domain. Recently, an alternative approach has emerged whereby…

cs.LG2019★ 3 cited

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search

Sam Green, Craig M. Vineyard, Ryan Helinski +1

Early neural network architectures were designed by so-called "grad student descent". Since then, the field of Neural Architecture Search (NAS) has developed with the goal of algor…

cs.NE2019

Composing Neural Algorithms with Fugu

James B Aimone, William Severa, Craig M Vineyard

Neuromorphic hardware architectures represent a growing family of potential post-Moore's Law Era platforms. Largely due to event-driving processing inspired by the human brain, the…