Abstract
The plastic development of a neural-network model operating autonomously in discrete time is described by the temporal modification of interneuronal coupling strengths according to momentary neural activity. A simple algorithm ("brainwashing") is found which, applied to nets with initially quasirandom connectivity, leads to model networks with properties conductive to the simulation of memory and learning phenomena.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 207-211 |
| Number of pages | 5 |
| Journal | Physics Letters A |
| Volume | 102 |
| Issue number | 4 |
| DOIs | |
| State | Published - May 14 1984 |
| Externally published | Yes |
ASJC Scopus subject areas
- General Physics and Astronomy