Towards efficient end-to-end speech recognition with biologically-inspired neural networksThomas BohnstinglAyush Garget al.2021NeurIPS 2021
Deep learning incorporating biologically inspired neural dynamics and in-memory computingStanisław WoźniakAngeliki Pantaziet al.2020Nature Machine Intelligence
Approximating Relu Networks by Single-Spike ComputationAna StanojevicEvangelos Eleftheriouet al.2022ICIP 2022
Unsupervised Learning Using Phase-Change Synapses and Complementary PatternsSeverin SidlerAngeliki Pantaziet al.2017ICANN 2017
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural NetworksSidney TsaiPritish Narayananet al.2023ISCAS 2023
Efficient biologically-inspired online learning alternatives to BPTTThomas BohnstinglStanisław Woźniaket al.2024ICNCE 2024
Neuromorphic Optical Flow and Real-time Implementation with Event CamerasYannick SchniderStanisław Woźniaket al.2023CVPR 2023
Are training trajectories of deep single-spike and deep ReLU network equivalent?Ana StanojevicStanisław Woźniaket al.2023arXiv
An exact mapping from ReLU networks to spiking neural networksAna StanojevicStanisław Woźniaket al.2022arXiv
Biologically Inspired Dynamics Enhance Deep LearningStanisław WoźniakThomas Bohnstinglet al.2021ERCIM News