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.

Go to group wiki

Timetable

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

Moderator

Members