A Scalable Approach to Modeling on Accelerated Neuromorphic HardwareFrontiers in Neuroscience (Front. Neurosci.), 2022 |
Neuromorphic scaling advantages for energy-efficient random walk
computationNature Electronics (Nat. Electron.), 2020 |
Versatile emulation of spiking neural networks on an accelerated
neuromorphic substrateInternational Symposium on Circuits and Systems (ISCAS), 2019 |