David Kappel

Christian Tetzlaff

PLoS Comput. Biol., 2024

State-space models can learn in-context by gradient descent.

[BibT_eX]

[DOI]

CoRR, 2024

Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates.

[BibT_eX]

[DOI]

Cabrel Teguemne Fokam

Lukas König

CoRR, 2024

Neuromorphic hardware for sustainable AI data centers.

[BibT_eX]

[DOI]

CoRR, 2024

Coincidence Detection with an Analog Spiking Neuron Exploiting Ferroelectric Polarization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2024

Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models.

[BibT_eX]

[DOI]

Rishav Mukherji

Mark Schöne

Proceedings of the International Conference on Neuromorphic Systems, 2024

Language Modeling on a SpiNNaker2 Neuromorphic Chip.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Tunable synaptic working memory with volatile memristive devices.

[BibT_eX]

[DOI]

Neuromorph. Comput. Eng., December, 2023

CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning.

[BibT_eX]

[DOI]

Nicolas Diekmann

Sandhiya Vijayabaskaran

Xiangshuai Zeng

Matheus Chaves Menezes

Sen Cheng

Frontiers Neuroinformatics, March, 2023

Language Modeling on a SpiNNaker 2 Neuromorphic Chip.

[BibT_eX]

[DOI]

CoRR, 2023

Block-local learning with probabilistic latent representations.

[BibT_eX]

[DOI]

Cabrel Teguemne Fokam

CoRR, 2023

Efficient recurrent architectures through activity sparsity and sparse back-propagation through time.

[BibT_eX]

[DOI]

Mark Schöne

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

EGRU: Event-based GRU for activity-sparse inference and learning.

[BibT_eX]

[DOI]

Mark Schöne

Juan Camilo Vasquez Tieck

CoRR, 2022

Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021

Structural plasticity on an accelerated analog neuromorphic hardware system.

[BibT_eX]

[DOI]

Sebastian Billaudelle

Neural Networks, 2021

2020

Adaptive Extreme Edge Computing for Wearable Devices.

[BibT_eX]

[DOI]

CoRR, 2020

Event-based Neural Network for ECG Classification with Delta Encoding and Early Stopping.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Event-Based Control, 2020

2019

Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Circuits Syst., 2019

Embodied Synaptic Plasticity With Online Reinforcement Learning.

[BibT_eX]

[DOI]

Jacques Kaiser

Michael Hoff

Andreas Konle

Frontiers Neurorobotics, 2019

Attention on Abstract Visual Reasoning.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Deep Rewiring: Training very sparse deep networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Reward-based stochastic self-configuration of neural circuits.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Hamiltonian synaptic sampling in a model for reward-gated network plasticity.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Network Plasticity as Bayesian Inference.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2015

Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning.

[BibT_eX]

[DOI]

Bernhard Nessler

Wolfgang Maass

PLoS Comput. Biol., 2014

NEVESIM: event-driven neural simulation framework with a Python interface.

[BibT_eX]

[DOI]

Dejan Pecevski