Closing the motor control loop with neuromorphic hardware

We focus on solving an engineering problem of interfacing (i) sensory input (DAVIS camera), (ii) a spiking network on a neuromorphic processor and (iii) a motor output (robotic arm) to build an event-based framework to test some learning schemes (unsupervised STDP and reinforcement learning) that close the perception-action loop.

As a starting spiking building block we will use a threeway relational network that maps the eye-centered stimulus position, the position of the arm and the distance between them in retinal coordinates.

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Day Time Location
Wed, 24.04.2019 20:30 - 21:00 Disco
Thu, 25.04.2019 20:30 - 21:30 Disco
Fri, 26.04.2019 19:00 - 20:00 Disco


Nicoletta Risi
Dmitrii Zendrikov
Jingyue Zhao


Elisa Donati
Damien Drix
Charlotte Frenkel
Daniel Gutierrez-Galan
Marco Monforte
James O'Keeffe
Alpha Renner
Nicoletta Risi
Vanessa Rodrigues Coelho Leite
Yulia Sandamirskaya
Baris Serhan
Rasmus Stagsted
Beck Strohmer
Oskar Weinberger
Jingyue Zhao