Marc Osswald

Learn More
Implementing compact, low-power artificial neural processing systems with real-time on-line learning abilities is still an open challenge. In this paper we present a full-custom mixed-signal VLSI device with neuromorphic learning circuits that emulate the biophysics of real spiking neurons and dynamic synapses for exploring the properties of computational(More)
—We present an automated design approach that leverages the commonly available digital design tools in order to rapidly synthesize asynchronous event-based interface circuits from behavioral VHDL code. As part of the proposed design approach, we describe a verification methodology that is able to reveal early in the design process potential timing failures(More)
  • 1