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Self-organizing mechanism for the formation of ordered neural mappings

✍ Scribed by P. Érdi; Gy. Barna

Book ID
104738711
Publisher
Springer-Verlag
Year
1984
Tongue
English
Weight
897 KB
Volume
51
Category
Article
ISSN
0340-1200

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✦ Synopsis

A model for the formation of ordered neural mappings in general, and of retinotectal connections, in particular is given. The main point came from the theory of "noise induced transitions", i.e. order may be the result of the interplay between deterministic and random interactions. An activity-dependent selforganizing mechanism is presented in terms of modifiable synapses. Simulation experiments were done not only for the normal ontogenetic development but also for the plastic behaviour of the retinotopic connections.

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✍ Takashi Nagano; Koji Kurata 📂 Article 📅 1981 🏛 Springer-Verlag 🌐 English ⚖ 444 KB

On the basis of recent neurophysiological findings on the mammalian visual cortex, a selforganizing neural network model is proposed for the understanding of the development of complex cells. The model is composed of two kinds of connections from LGN cells to a complex cell. One is direct excitatory