𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A model of neural network extracting binocular parallax

✍ Scribed by Yuzo Hirai; Kunihiko Fukushima

Publisher
Springer-Verlag
Year
1975
Tongue
English
Weight
927 KB
Volume
18
Category
Article
ISSN
0340-1200

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Classification of trajectoriesβ€”Extractin
Classification of trajectoriesβ€”Extracting invariants with a neural network
✍ Margit Kinder; Wilfried Brauer πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 626 KB

A neural classifier ofplanar trajectories is presented. There already exist a large variety oj classifiers that are specialized in particular invariants contained in a trajectory classification task such as position-invariance, rotation-invariance, and size-in variance. That is, there exist classifi

A neural network model for the mechanism
A neural network model for the mechanism of feature-extraction
✍ Sei Miyake; Kunihiko Fukushima πŸ“‚ Article πŸ“… 1984 πŸ› Springer-Verlag 🌐 English βš– 672 KB

We propose a new multilayered neural network model which has the ability of rapid self-organization. This model is a modified version of the cognitron (Fukushima, 1975). It has modifiable inhibitory feedback connections, as well as conventional modifiable excitatory feedforward connections, between

Bifurcation analysis of a neural network
Bifurcation analysis of a neural network model
✍ Roman M. Borisyuk; Alexandr B. Kirillov πŸ“‚ Article πŸ“… 1992 πŸ› Springer-Verlag 🌐 English βš– 679 KB

This paper describes the analysis of the well known neural network model by Wilson and Cowan. The neural network is modeled by a system of two ordinary differential equations that describe the evolution of average activities of excitatory and inhibitory populations of neurons. We analyze the depende