PubMed · 13478371
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
J SZENTAGOTHAI. 1957. [Elementary structure of interneuronal synapses].. https://pubmed.ncbi.nlm.nih.gov/13478371/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
A review is given of a new artificial neural network architecture in which the weights converge to the principal component subspace. The weights learn by only simple Hebbian learning yet require no clipping, normalization or weight decay. The net self-organizes using negative feedback of activation from a set of "interneurons" to the input neurons. By allowing this negative feedback from the interneurons to act on other interneurons we can introduce the necessary asymmetry to cause convergence to the actual principal components. Simulations and analysis confirm such convergence.
Explore the source record for details and available documents.
Explore the source record for details and available documents.