28 search results - page 1 / 6 » Learning to classify complex patterns using a VLSI network o... |
NIPS
2007
13 years 6 months ago
2007
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
ISCAS
2006
IEEE
13 years 11 months ago
2006
IEEE
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
ISCAS
2003
IEEE
13 years 10 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...