Bradley H. Theilman

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Hebbian Learning

Spiking Neurons

Spiking Neural Networks

Stochastic Optimization

Top Venues

Neuromorph. Comput. Eng.

Publications

Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE (2024)
Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis
Spiking Physics-Informed Neural Networks on Loihi 2. NICE (2024)
Felix Wang, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone
Scaling neural simulations in STACS. Neuromorph. Comput. Eng. 4 (2) (2024)
Bradley H. Theilman, Felix Wang, Fred Rothganger, James B. Aimone
Decomposing spiking neural networks with Graphical Neural Activity Threads. CoRR (2023)
Bradley H. Theilman, James B. Aimone
Goemans-Williamson MAXCUT approximation algorithm on Loihi. NICE (2023)
Bradley H. Theilman, Yipu Wang, Ojas Parekh, William Severa, J. Darby Smith, James B. Aimone
Stochastic Neuromorphic Circuits for Solving MAXCUT. IPDPS (2023)
Bradley H. Theilman, Yipu Wang, Ojas D. Parekh, William Severa, J. Darby Smith, James B. Aimone
Stochastic Neuromorphic Circuits for Solving MAXCUT. CoRR (2022)