Alpha Renner

Position:	Visiting Scientist -- starting May 2023
Email:
Work phone:
Location:	55g87

What fascinates and therefore motivates me most, is how the unsurpassed abilities of our brains arise from networks, cells and molecules. I believe that the key to understanding how the brain processes information is research on many levels in various disciplines.

Currently I am focusing on simulation and emulation of Spiking Neural Networks to explore memory and perception in a dynamical system.

Before starting my PhD at INI, I studied in the Neural Systems and Computation program.
In 2014, I graduated from University of Konstanz in Life Science, where I studied the temporal resolution and speed of drosophila's odor reception with extracellular recordings and found out that fruit flies smell amazingly fast.

Supervisor

Giacomo Indiveri

Publications

2022

Alpha Renner, Giacomo Indiveri, Lazar Supic, Andreea Danielescu, Bruno Olshausen, Friedrich Sommer, Yulia Sandamirskaya, Edward Paxon Frady Neuromorphic Visual Scene Understanding with Resonator Networks (in brief), NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, E. Paxon Frady Neuromorphic Visual Scene Understanding with Resonator Networks, arXiv preprint arXiv:2208.12880, 2022
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Friedrich T. Sommer, E. Paxon Frady, Yulia Sandamirskaya Neuromorphic Visual Odometry with Resonator Networks, arXiv preprint arXiv:2209.02000, 2022
Alpha Renner, Yulia Sandamirskaya, Friedrich T Sommer, E Paxon Frady Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays, International Conference on Neuromorphic Systems (ICONS 2022), 2022

2021

Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew Sornborger The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware, arXiv preprint arXiv:2106.07030, 2021
Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya Event-driven Vision and Control for UAVs on a Neuromorphic Chip, IEEE International Conference on Robotics and Automation (ICRA) 103-109, 2021

2020

Alpha Renner; Matthew Evanusa; Garrick Orchard; Yulia Sandamirskaya Event-Based Attention and Tracking on Neuromorphic Hardware, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020
A Renner, F Sheldon, A Zlotnik, L Tao, A Sornborger Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware, NICE '20: Proceedings of the Neuro-inspired Computational Elements Workshop, 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
RK Stagsted, A Vitale, A Renner, LB Larsen, AL Christensen, Y Sandamirskaya Event-based PID controller fully realized in neuromorphic hardware: a one DoF study., IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 10939-10944, 2020
RK Stagsted, A Vitale, J Binz, A Renner, LB Larsen, Y Sandamirskaya Towards neuromorphic control: A spiking neural network based PID controller for UAV, Robotics: Science and Systems 2020, 2020
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

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
Renner, A., Evanusa, M., Sandamirskaya, S. Event-based attention and tracking on neuromorphic hardware, CVPR 2019 Workshop on Event-Based Vision, 2019

2018

A Egea-Weiss, A Renner, CJ Kleineidam, P Szyszka High precision of spike timing across olfactory receptor neurons allows rapid odor coding in Drosophila, iScience, 4: 76–83, 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

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