38 citations
- ETH ZurichCH4 papers
- SIB Swiss Institute of BioinformaticsCH4 papers
- University of ZurichCH4 papers
- Forschungszentrum JülichDE3 papers
- Accenture (United States)US2 papers
- Intel (United States)US2 papers
- University of California, BerkeleyUS2 papers
- ZHAW Zurich University of Applied SciencesCH2 papers
- Consorci Institut D'Investigacions Biomediques August Pi I SunyerES1 paper
- European University InstituteIT1 paper
- Institució Catalana de Recerca i Estudis AvançatsES1 paper
- Istituto Nazionale di Fisica NucleareIT1 paper
7 papers
Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
Robin Gutzen, Giulia De Bonis, Chiara De Luca +11
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, a…
Visual Odometry with Neuromorphic Resonator Networks
Alpha Renner, Lazar Supic, Andreea Danielescu +4
Visual Odometry (VO) is a method to estimate self-motion of a mobile robot using visual sensors. Unlike odometry based on integrating differential measurements that can accumulate…
Neuromorphic Visual Scene Understanding with Resonator Networks
Alpha Renner, Lazar Supic, Andreea Danielescu +5
Analyzing a visual scene by inferring the configuration of a generative model is widely considered the most flexible and generalizable approach to scene understanding. Yet, one maj…
Continuous-Time Analog Filters for Audio Edge Intelligence: Review on Circuit Designs
Kwantae Kim, Shih-Chii Liu
Edge audio devices can reduce data bandwidth requirements by pre-processing input speech on the device before transmission to the cloud. As edge devices are required to ensure alwa…
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation
Nicolas Zucchet, João Sacramento
This paper reviews gradient-based techniques to solve bilevel optimization problems. Bilevel optimization is a general way to frame the learning of systems that are implicitly defi…
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance
Qinyu Chen, Chang Gao, Xinyuan Fang +1
Spiking Neural Networks (SNNs) are developed as a promising alternative to Artificial Neural networks (ANNs) due to their more realistic brain-inspired computing models. SNNs have…