On-Line Hebbian Learning for Spiking Neurons: Architecture of the Weight-Unit of NESPINN

: We present the implementation of on-line Hebbian learning for NESPINN, the Neurocomputer for the simulation of spiking neurons. In order to support various forms of Hebbian learning we developed a programmable weight unit for the NESPINN-system. On-line weight modifications are performed event-controlled in parallel to the computation of basic neuron functions. According to our VHDL-simulations, the system will offer a performance of up to 50 MCUPS.

• Type: Conference
• Year: 1997
• Where: ICANN
• Authors: Ulrich Roth, Axel Jahnke, Heinrich Klar
• Keywords: Hebbian Learning, ICANN 1997, Neural Networks, On-line Hebbian Learning, Programmable Weight Unit