96 citations · 230 across the 16 of their papers we have counts for
18 papers
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…
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
Manh V. Nguyen, Liang Zhao, Bobin Deng +3
Spiking Neural Networks (SNNs) have recently gained significant interest in on-chip learning in embedded devices and emerged as an energy-efficient alternative to conventional Arti…
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…
Synaptic Sampling of Neural Networks
James B. Aimone, William Severa, J. Darby Smith
Probabilistic artificial neural networks offer intriguing prospects for enabling the uncertainty of artificial intelligence methods to be described explicitly in their function; ho…
Induced Distributions from Generalized Unfair Dice
Douglas T. Pfeffer, J. Darby Smith, William Severa
In this paper we analyze the probability distributions associated with rolling (possibly unfair) dice infinitely often. Specifically, given a -sided die, if $x_i\in\{0,\ldots,q-…
Stochastic Neuromorphic Circuits for Solving MAXCUT
Bradley H. Theilman, Yipu Wang, Ojas D. Parekh +3
Finding the maximum cut of a graph (MAXCUT) is a classic optimization problem that has motivated parallel algorithm development. While approximate algorithms to MAXCUT offer attrac…