12 search results - page 2 / 3 » Programmable synaptic weights for an aVLSI network of spikin... |
IJCNN
2008
IEEE
14 years 5 days ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
NECO
2010
13 years 16 days ago
2010
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
ICANN
1997
Springer
13 years 10 months ago
1997
Springer
: 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 learn...
NIPS
2004
13 years 7 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
ICANN
2009
Springer
14 years 10 days ago
2009
Springer
Polychronization has been proposed as a possible way to investigate the notion of cell assemblies and to understand their role as memory supports for information coding. In a spiki...