Search Results for author: Felix Christian Bauer

Found 2 papers, 1 papers with code

EXODUS: Stable and Efficient Training of Spiking Neural Networks

1 code implementation20 May 2022 Felix Christian Bauer, Gregor Lenz, Saeid Haghighatshoar, Sadique Sheik

In this paper, (i) we modify SLAYER and design an algorithm called EXODUS, that accounts for the neuron reset mechanism and applies the Implicit Function Theorem (IFT) to calculate the correct gradients (equivalent to those computed by BPTT), (ii) we eliminate the need for ad-hoc scaling of gradients, thus, reducing the training complexity tremendously, (iii) we demonstrate, via computer simulations, that EXODUS is numerically stable and achieves a comparable or better performance than SLAYER especially in various tasks with SNNs that rely on temporal features.

Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor

no code implementations13 Nov 2019 Felix Christian Bauer, Dylan Richard Muir, Giacomo Indiveri

In this work we propose a compact and sub-mW low power neural processing system that can be used to perform on-line and real-time preliminary diagnosis of pathological conditions, to raise warnings for the existence of possible pathological conditions, or to trigger an off-line data recording system for further analysis by a medical professional.

Anomaly Detection

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