Alpha Renner

Position:
PhD Student
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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.

Publications

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