Analog VLSI Circuits for Hebbian Learning in Neural Networks
TBMG-7390
08/01/2001
- Content
An analog very-large-scale integrated (VLSI) circuit was designed and built to implement Hebbian synapses with an improved method of modifying and storing the synaptic weights, for use in neural-network circuits. (In Hebbian synapses, the synaptic weights are modified through Hebbian learning, which is a local unsupervised adjustment of the weight depending on the correlation of activity between pre- and post-synaptic neurons.) These circuits are intended, more specifically, for use with neural networks of the type that operate with spiking (as distinguished from steady) input and output signals.
- Citation
- "Analog VLSI Circuits for Hebbian Learning in Neural Networks," Mobility Engineering, August 1, 2001.