Alpha Renner

Position:
Visiting Scientist -- ended Sep 2023
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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

2023

2022

2021

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