no code implementations • 29 Jun 2023 • Bradley H. Theilman, Felix Wang, Fred Rothganger, James B. Aimone
A satisfactory understanding of information processing in spiking neural networks requires appropriate computational abstractions of neural activity.
no code implementations • 5 Oct 2022 • Bradley H. Theilman, Yipu Wang, Ojas D. Parekh, William Severa, J. Darby Smith, James B. Aimone
By designing circuits and algorithms that make use of randomness similarly to natural brains, we hypothesize that the intrinsic randomness in microelectronics devices could be turned into a valuable component of a neuromorphic architecture enabling more efficient computations.
