Title :
A mixed-signal universal neuromorphic computing system
Author_Institution :
Ruprecht-Karls-Universit?t, Kirchhoff-Institut f?r Physik, Im Neuenheimer Feld 227, D-69120 Heidelberg, Germany
Abstract :
Neuromorphic information processing systems offer the potential to overcome imminent problems of state-of-the-art computers, in particular the energy efficiency problem, the device reliability problem and the software complexity problem. This paper starts with a short overview of state-of-the-art neuromorphic hardware implementations and their applications. It then describes the time-accelerated mixed-signal approach of the BrainScaleS project in some detail.
Keywords :
"Neurons","Neuromorphics","Computational modeling","Biological system modeling","Brain modeling","Energy efficiency"
Conference_Titel :
Electron Devices Meeting (IEDM), 2015 IEEE International
Electronic_ISBN :
2156-017X
DOI :
10.1109/IEDM.2015.7409627
