P Znamenskiy, M-H Kim, DR Muir, MF Iacaruso et al. 2024. Functional specificity of recurrent inhibition in visual cortex. Neuron. DOI: 10.1016/j.neuron.2023.12.013. OnlinePDF
2023
JE Pedersen, S Sheik. 2023. Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. arXiv. OnlinePDFJ Yik, VJ Reddi. 2023. NeuroBench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking. arXiv. OnlinePDFU Çakal, I Ulusoy, DR Muir. 2023. Training and Deploying Spiking NN Applications to the Mixed-Signal Neuromorphic Chip Dynap-SE2 with Rockpool. arXiv. OnlinePDF
2022
H Bos, DR Muir. 2022. Sub-mW Neuromorphic SNN audio processing applications with Rockpool and Xylo. ESSCIRC2022. OnlinePDFJ Buchel, F Faber, DR Muir. 2022. Network Insensitivity to Parameter Noise via Parameter Attack During Training. ICLR202211:23376. OnlinePDF
2021
J Buchel, D Zendrikov, S Solinas, G Indiveri et al. 2021. Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors. Nat. Scientific Reports11:23376. DOI: 10.1038/s41598-021-02779-x. OnlinePDF
2019
FC Bauer, DR Muir, G Indiveri. 2019. Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor. IEEE Trans. BioCAS136:1575–1582. DOI: 10.1109/TBCAS.2019.2953001. OnlinePDF
DR Muir, P Molina-Luna, MM Roth, F Helmchen et al. 2017. Specific excitatory connectivity for feature integration in primary visual cortex. Plos Computational Biology1312:e1005888. DOI: 10.1371/journal.pcbi.1005888. OnlinePDF