41 search results - page 2 / 9 » Probabilistic Models of Neuronal Spike Trains |
NN
2002
Springer
13 years 4 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
NECO
2008
13 years 4 months ago
2008
We consider a formal model of stimulus encoding with a circuit consisting of a bank of filters and an ensemble of integrate-and-fire neurons. Such models arise in olfactory system...
NIPS
2004
13 years 6 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...
IJCNN
2008
IEEE
13 years 11 months 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...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...