55 search results - page 4 / 11 » Visual focus with spiking neurons |
NIPS
2004
13 years 11 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
2006
IEEE
14 years 4 months ago
2006
IEEE
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
ICDM
2009
IEEE
14 years 5 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
NIPS
2004
13 years 11 months ago
2004
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
ICANN
2005
Springer
14 years 3 months ago
2005
Springer
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...