advanced
Journal Information
Journal Information
   Description
   Editorial Board
   Guide for Authors
   Ordering

Contents Services
Contents Services
   Regular Issues
   Special Issues
   Authors Index

Links
Links
   FEI STU Bratislava
   SAS Bratislava

   Feedback

[03-04, 2001] 

Journal of Electrical Engineering, Vol 52, 03-04 (2001) 68-73

IMPLEMENTATION OF A LEARNING SYNAPSE AND A NEURON FOR PULSE-COUPLED NEURAL NETWORKS

Pavol Tikovič - Marián Vörös - Daniela Ďuračková

   A new architecture of a learning synapse with on-chip learning and a neuron for pulse-coupled neural networks is presented. The main advantages of the proposed synapse are: continuous learning, easily adjustable parameters, compact design, low power and area consumption. This paper also contains results obtained from simulations performed with our model of a leaky integrate-and-fire neuron. The proposed neuron works with both constant or slowly changing input voltage level (input layer of a neural network) and pulse input (hidden layers and the output layer). Our circuits were designed in HSPICE and implemented in CAMELEON.

Keywords: pulse-coupled neural networks, continuous learning synapse, synaptic weight, Hebbian learning rule, integrate-and-fire neuron, threshold, action potential timing


[full-paper]


© 1997-2019  FEI STU Bratislava