Christian Pehle

Orcid: 0000-0002-5447-0716

According to our database1, Christian Pehle authored at least 19 papers between 2018 and 2024.

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Bibliography

2024
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware.
CoRR, 2024

Emulating insect brains for neuromorphic navigation.
CoRR, 2024

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

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Event-based Backpropagation for Analog Neuromorphic Hardware.
CoRR, 2023

hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

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

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

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

2021
Adjoint Equations of Spiking Neural Networks.
PhD thesis, 2021

2020
EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks.
CoRR, 2020

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

Closed-loop experiments on the BrainScaleS-2 architecture.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020



2019
Neuromorphic Hardware learns to learn.
CoRR, 2019

2018
An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

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


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