Laura Kriener

Orcid: 0000-0001-5275-9199

According to our database1, Laura Kriener authored at least 15 papers between 2017 and 2024.

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Bibliography

2024
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons.
CoRR, 2024

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

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

2022
Learning efficient backprojections across cortical hierarchies in real time.
CoRR, 2022

The Yin-Yang dataset.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

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

Fast and Energy-efficient Deep Neuromorphic Learning.
ERCIM News, 2021

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.
CoRR, 2021

Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores.
IEEE Trans. Biomed. Circuits Syst., 2018

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores.
CoRR, 2018

2017
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017


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