Oliver Breitwieser

Orcid: 0000-0002-1477-9110

According to our database1, Oliver Breitwieser authored at least 20 papers between 2011 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Cortical oscillations support sampling-based computations in spiking neural networks.
PLoS Comput. Biol., 2022

Demonstrating Analog Inference on the BrainScaleS-2 Mobile System.
IEEE Open J. Circuits Syst., 2022

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.
CoRR, 2022

2021
Learning by Tooling: Novel Neuromorphic Learning Strategies in Reproducible Software Environments.
PhD thesis, 2021

Fast and energy-efficient neuromorphic deep learning with first-spike times.
Nat. Mach. Intell., 2021

2020
Extending BrainScaleS OS for BrainScaleS-2.
CoRR, 2020

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Fast and deep neuromorphic learning with first-spike coding.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020



2019
Stochasticity from function - Why the Bayesian brain may need no noise.
Neural Networks, 2019

Fast and deep neuromorphic learning with time-to-first-spike coding.
CoRR, 2019

2018
Generative models on accelerated neuromorphic hardware.
CoRR, 2018

2017
Spiking neurons with short-term synaptic plasticity form superior generative networks.
CoRR, 2017

Pattern representation and recognition with accelerated analog neuromorphic systems.
CoRR, 2017


Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2014
Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform.
CoRR, 2014

2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biol. Cybern., 2011


  Loading...