1707 search results - page 16 / 342 » Modeling spiking neural networks |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
NN
2007
Springer
13 years 7 months ago
2007
Springer
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process s...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
BC
2008
13 years 7 months ago
2008
Periodic neural activity not locked to the stimulus or to motor responses is usually ignored. Here, we present newtoolsformodelingandquantifyingtheinformationtransmission based on ...