HIGHLIGHTS
SUMMARY
For instance, implements a STDP-based spiking deep convolutional neural_networks for object recognition or develops a form of spike-based, competitive learning applied for unsupervised learning. The book gradually leads the reader from the macroscopic cortical anatomy and standard electro-physiological properties of single neurons to neural_network models. At the implementation level, a recent work proposed a bio-plausible unsupervised delay learning for extracting temporal features in spiking neural_networks. Applying this STDP-based rule on 20 of 34 delays to the spiking neural_network, the experimental results were validated on a simple motion detection task . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.