A Theory for Neural Networks with Time Delays.
abstract   bibtex   
We present a new neural network model for processing of temporal patterns. This model, the gamma neural model, is as general as a convolution delay model with arbitrary weight kernels w(t). We show that the gamma model can be formulated as a (partially prewired) additive model. A temporal hebbian learning rule is derived and we establish links to related existing models for temporal processing.
@article{noauthor_theory_nodate,
	title = {A {Theory} for {Neural} {Networks} with {Time} {Delays}},
	abstract = {We present a new neural network model for processing of temporal patterns. This model, the gamma neural model, is as general as a convolution delay model with arbitrary weight kernels w(t). We show that the gamma model can be formulated as a (partially prewired) additive model. A temporal hebbian learning rule is derived and we establish links to related existing models for temporal processing.},
	language = {en},
	pages = {7}
}

Downloads: 0