Name
Abstract | ||
|---|---|---|
We show that a form of synaptic plasticity recently discovered in slices of the rat visual cortex (Artola et al. 1990) can support an error-correcting learning rule. The rule increases weights when both pre- and postsynaptic units are highly active, and decreases them when pre-synaptic activity is high and postsynaptic activation is less than the threshold for weight increment but greater than a l... |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1162/neco.1991.3.2.201 | Neural Computation |
Keywords | Field | DocType |
hebbian learning,synaptic plasticity,error correction,false positive,associative memory | Content-addressable memory,Visual cortex,Postsynaptic potential,Hebbian theory,Learning rule,Synaptic plasticity,Artificial intelligence,Generalized Hebbian Algorithm,Mathematics,Anti-Hebbian learning,Machine learning | Journal |
Volume | Issue | ISSN |
3 | 2 | 0899-7667 |
Citations | PageRank | References |
10 | 6.96 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter J. B. Hancock | 1 | 126 | 31.47 |
| Leslie S. Smith | 2 | 363 | 40.34 |
| William A. Phillips | 3 | 40 | 16.54 |