Michael Pfeiffer, PhD

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Kugele A, Pfeil T, Pfeiffer M, et al. (2020) Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks. Frontiers in Neuroscience. 14: 439
Kassraian-Fard P, Pfeiffer M, Bauer R. (2020) A generative growth model for thalamocortical axonal branching in primary visual cortex. Plos Computational Biology. 16: e1007315
Soldado-Magraner S, Brandalise F, Honnuraiah S, et al. (2019) Conditioning by Subthreshold Synaptic Input Changes the Intrinsic Firing Pattern of CA3 Hippocampal Neurons. Journal of Neurophysiology
Pfeiffer M, Pfeil T. (2018) Deep Learning With Spiking Neurons: Opportunities and Challenges. Frontiers in Neuroscience. 12: 774
Beggel L, Kausler BX, Schiegg M, et al. (2018) Time series anomaly detection based on shapelet learning Computational Statistics. 34: 945-976
Rueckauer B, Lungu IA, Hu Y, et al. (2017) Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification. Frontiers in Neuroscience. 11: 682
Kainz P, Pfeiffer M, Urschler M. (2017) Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization. Peerj. 5: e3874
Lee JH, Delbruck T, Pfeiffer M. (2016) Training Deep Spiking Neural Networks Using Backpropagation. Frontiers in Neuroscience. 10: 508
Stromatias E, Neil D, Pfeiffer M, et al. (2015) Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms. Frontiers in Neuroscience. 9: 222
Pfeiffer M, Betizeau M, Waltispurger J, et al. (2015) Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ. The Journal of Comparative Neurology