Publications

Subramoney, A., Bellec, G., Scherr, F., Legenstein, R., & Maass, W. (2021). Revisiting the role of synaptic plasticity and network dynamics for fast learning in spiking neural networks. BioRxiv.

Limbacher, T., & Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks. Advances in Neural Information Processing Systems 33.

Bohnstingl, T., Pantazi, A., & Eleftheriou, E. (2020). Accelerating Spiking Neural Networks using Memristive Crossbar Arrays. 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 1–4.

Bohnstingl, T., Woźniak, S., Maass, W., Pantazi, A., & Eleftheriou, E. (2020). Online spatio-temporal learning in deep neural networks. ArXiv Preprint ArXiv:2007.12723.

Linares-Barranco, A., Perez-Peña, F., Jimenez-Fernandez, A., & Chicca, E. (2020). ED-BioRob: A Neuromorphic Robotic Arm With FPGA-Based Infrastructure for Bio-Inspired Spiking Motor Controllers. Frontiers in Neurorobotics.

Giotis, C., Serb, A., Stathopoulos, S., Michalas, L., Khiat, A., & Prodromakis, T. (2020). Bidirectional Volatile Signatures of Metal–Oxide Memristors—Part I: Characterization. IEEE Transactions on Electron Devices.

Giotis, C., Serb, A., Stathopoulos, S., Michalas, L., & Prodromakis, T. (2020). Bidirectional Volatile Signatures of Metal–Oxide Memristors—Part II: Modeling. IEEE Transactions on Electron Devices.

Demirag, Y., Moro, F., Dalgaty, T., Navarro, G., Frenkel, C., Indiveri, G., Vianello, E., & Payvand, M. (2021). PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. 2021 28th IEEE International Conference on Electronics, Circuits and Systems (ICECS), accepted.