Sebastian Billaudelle

Orcid: 0000-0002-6194-0771

According to our database1, Sebastian Billaudelle authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Emulating insect brains for neuromorphic navigation.
CoRR, 2024

2023
Gradient-based methods for spiking physical systems.
CoRR, 2023

A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing.
Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

2022
From transistors to learning systems: circuits and algorithms for brain-inspired computing / put forward by Sebastian Billaudelle ; referees: Dr. habil. Johannes Schemmel, Prof. Dr. Wolfram Pernice.
PhD thesis, 2022

Surrogate gradients for analog neuromorphic computing.
Proc. Natl. Acad. Sci. USA, 2022

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

The operating system of the neuromorphic BrainScaleS-1 system.
Neurocomputing, 2022

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

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity.
CoRR, 2022

An accurate and flexible analog emulation of AdEx neuron dynamics in silicon.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021
Structural plasticity on an accelerated analog neuromorphic hardware system.
Neural Networks, 2021

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

BrainScaleS: Greater Versatility for Neuromorphic Emulation.
ERCIM News, 2021

2020
Correction to: Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System.
J. Signal Process. Syst., 2020

Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System.
J. Signal Process. Syst., 2020

Spiking neuromorphic chip learns entangled quantum states.
CoRR, 2020

Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate.
CoRR, 2020

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

2018
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study.
CoRR, 2018

2015
Porting HTM Models to the Heidelberg Neuromorphic Computing Platform.
CoRR, 2015


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