Raphaela Kreiser

Position:
PhD Student
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Before starting my Phd in the group “Neuromorphic Cognitive Robots”, I obtained my Bachelor degree in the field of Cognitive Science at the University of Osnabrück. Following, I studied Neural Systems & Computation in the master’s program of the Institute of Neuroinformatics where I became interested in the realisation of neuronal architectures in mixed signal analog/digital neuromorphic chips and their application for autonomous robots. My aim is to understand how the brain can learn a cognitive map of the environment and I investigate the properties as well as the interplay between grid cells, place cells, head direction cells and other cell types found in hippocampus and entorhinal cortex.
Finally, my goal is to use continuous neuronal dynamics to develop neurally inspired computing architectures and to implement these in neuromorphic chips that can be interfaced with robots in order to perceive, learn and act in a closed sensory-motor loop.
In my free time I like to play the piano, bake, and do a variety of sports including acrobatics and horse back riding.

Publications

2020

2019

  • Glatz, S.; Kreiser, R.; Martel, J. N. P.; Qiao, N. & Sandamirskaya, Y. Adaptive motor control and learning in a spiking neural network, fully realised on a mixed-signal analog/digital neuromorphic processor, IEEE International Conference on Robotcs and Automation, ICRA, 2019
  • Kreiser, Raphaela and Waibel, Gabriel and Renner, Alpha and Sandamirskaya, Yulia Self-calibration and learning on chip: towards neuromorphic robots, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Breaking news, 2019
  • Kreiser, R.; Renner, A. & Sandamirskaya, Y. Error-driven learning for self-calibration in a neuromorphic path integration system, Robust AI for Neurororobotics Workshop, 2019
  • Liang, D.; Kreiser, R.; Nielsen, C.; Qiao, N.; Sandamirskaya, Y. & Indiveri, G. Neural State Machines for Robust Learning and Control of Neuromorphic Agents, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2019
  • Liang, D.; Kreiser, R.; Sandamirskaya, Y. & Indiveri, G. Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents, 1st IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019
  • Liang, Dongchen and Kreiser, Raphaela and Nielsen, Carsten and Qiao, Ning and Sandamirskaya, Yulia and Indiveri, Giacomo Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents, 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019

2018

  • Cartiglia, M.; Kreiser, R. & Sandamirskaya, Y. A Neuromorphic approach to path integration: a head direction spiking neural network with visually-driven reset, IEEE Symposium for Circuits and Systems, ISCAS, 2018 pdf
  • Kreiser, R.; Aathmani, D.; Qiao, N.; Indiveri, G. & Sandamirskaya, Y. Organising Sequential Memory in a Neuromorphic Device Using Dynamic Neural Fields, Frontiers in Neuromorphic Engineering, 2018
  • Kreiser, R., Pienroj, P., Renner, A., and Sandamirskaya, Y. Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2018
  • R. Kreiser, T. Moraitis, Y. Sandamirskaya, G. Indiveri On-chip unsupervised learning in Winner-Take-All networks of spiking neurons, BioCAS 2017 424-427, 2018 pdf