5 papers
Towards a Pseudo-Labeling Workflow for Celltype-Classification from Explanted Brain Slice Recordings
Cora Jostock, Jonas Ort, Henner Koch +2
This paper proposes an unsupervised workflow to pseudo-label extracellular spikes from human brain slice MEA recordings into two putative cell types: pyramidal cells and interneuro…
Towards Delta Aware Training: Efficient DNN Weight Storage for Resource-Constrained FPGAs
David Peter Federl, Lukas Einhaus, Andreas Erbslöh +1
The deployment of embedded deep neural networks on resource-constrained field programmable gate arrays (FPGAs) is challenging due to limited memory and computational capacities. We…
elasticAI.explorer: Towards a Unified End-to-End Framework for Hardware-Aware Neural Architecture Search
Natalie Maman, Florian Hettstedt, Andreas Erbslöh +1
Neural Architecture Search (NAS) has become an important approach for automatically designing neural networks under task-specific and hardware-specific constraints. However, many e…
Precomputed 1D-CNNs for Atrial Fibrillation Detection on Tiny Smart Sensor Systems
Lukas Einhaus, Natalie Maman, Julian Hoever +2
1D-CNNs play a crucial role for time-series analysis on tiny smart sensor systems, e.g. for biosignal analysis, predictive maintenance, or structural health monitoring. LUTbased pr…
Towards an End-To-End System for Real-Time Gesture Recognition from Surface Vibrations
Florian Hettstedt, Cedric Giese, Tianheng Ling +3
Sensing surface vibrations promise unobtrusive interaction for smart home systems by enabling gesture recognition on existing everyday surfaces without disturbing living-space desi…