๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Pattern separation function of two-layered random net with feedforward inhibitory connections

โœ Scribed by Kunikazu Kobayashi; Toyoshi Torioka; Hajime Hara

Book ID
118286358
Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
638 KB
Volume
26
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Pattern separability in a random neural
Pattern separability in a random neural net with inhibitory connections
โœ T. Torioka ๐Ÿ“‚ Article ๐Ÿ“… 1979 ๐Ÿ› Springer-Verlag ๐ŸŒ English โš– 673 KB

Some interesting properties on pattern separation have been shown through researches by neural models of cerebellar cortex. It seems to us that those results are a part of the properties of pattern separation. A two layer random nerve net with inhibitory connections is given as a model of the cerebe

Pattern separability and the effect of t
Pattern separability and the effect of the number of connections in a random neural net with inhibitory connections
โœ Toyoshi Torioka ๐Ÿ“‚ Article ๐Ÿ“… 1978 ๐Ÿ› Springer-Verlag ๐ŸŒ English โš– 630 KB

It has been claimed that pattern separation in cerebellar cortex plays an important role in controlling movements and balance for vertebrates. A number of the neural models for cerebellar cortex have been proposed and their pattern separability has been analyzed. These results, however, only explain