Communication architecture enabling 100x accelerated simulation of biological neural networks. - Kevin Kauth; Tim Stadtmann; Ruben Brandhofer; Vida Sobhani; Tobias Gemmeke (SLIP, 2020)

Deadlock-Freedom in Computational Neuroscience Simulators. - Vida Sobhani; Kevin Kauth; Tim Stadtmann; Tobias Gemmeke (IEEE Des. Test, 2022)

neuroAIx: FPGA Cluster for Reproducible and Accelerated Neuroscience Simulations of SNNs. - Kevin Kauth; Tim Stadtmann; Vida Sobhani; Tobias Gemmeke (NorCAS, 2023)

A Digital Twin Network for Computational Neuroscience Simulators: Exploring Network Architectures for Acceleration of Biological Neural Network Simulations. - Vida Sobhani; Kevin Kauth; Tim Stadtmann; Tobias Gemmeke (WoWMoM, 2023)

neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time. - Kevin Kauth; Tim Stadtmann; Vida Sobhani; Tobias Gemmeke (Frontiers Comput. Neurosci., 2023)

nAIxt: A Light-Weight Processor Architecture for Efficient Computation of Neuron Models. - Kevin Kauth; Christian Lanius; Tobias Gemmeke (ARCS, 2024)