Raphaela Kreiser
Position:
PhD Student --
ended Dec 2020
Email:
rakrei@ini.uzh.ch
Work phone:
Location:
55g87
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.
Supervisor
Yulia Sandamirskaya
Publications
2020
Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Raphaela Kreiser, Yulia Sandamirskaya
Digital Multiplier-less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task
,
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
, 10:(4) 498 - 511, 2020
Hajar Asgari, Babak M.-N Maybodi, Raphaela Kreiser, Yulia Sandamirskaya
A Digital Multiplier-less Neuromorphic Model for Learning a Context-Dependent Task
,
2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
, 2020
Raphaela Kreiser, Alpha Renner, Vanessa RC Leite, Baris Serhan, Chiara Bartolozzi, Arren Glover, Yulia Sandamirskaya
An On-chip Spiking Neural Network for Estimation of the Head Pose of the iCub Robot
,
Frontiers in Neuroscience
, 14: 551, 2020
Raphaela Kreiser, Gabriel Waibel, Nuria Armengol, Alpha Renner, Yulia Sandamirskaya
Error estimation and correction in a spiking neural network for map formation in neuromorphic hardware
,
2020 IEEE International Conference on Robotics and Automation (ICRA)
6134 - 6140, 2020
Error_Estimation.pdf
S. Baumgartner, A. Renner, R. Kreiser, D. Liang, G. Indiveri, Y. Sandamirskaya
Visual pattern recognition with on on-chip learning: towards a fully neuromorphic approach
,
IEEE International Symposium on Circuits and Systems (ISCAS)
, 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
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