Raphaela Kreiser

Orcid: 0000-0001-5339-2835

According to our database1, Raphaela Kreiser authored at least 11 papers between 2017 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Visual Pattern Recognition with on On-Chip Learning: Towards a Fully Neuromorphic Approach.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Error estimation and correction in a spiking neural network for map formation in neuromorphic hardware.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A Digital Multiplier-less Neuromorphic Model for Learning a Context-Dependent Task.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Neural State Machines for Robust Learning and Control of Neuromorphic Agents.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Digital Multiplier-less Event-Driven Spiking Neural Network Architecture for Learning a Context-Dependent Task.
CoRR, 2019

Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor.
Proceedings of the International Conference on Robotics and Automation, 2019

Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
On-chip unsupervised learning in winner-take-all networks of spiking neurons.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017


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