Name
Abstract | ||
|---|---|---|
Several laboratories in studies of various brain areas have reported a dependence of long-term potentiation (LTP) and long-term depression (LTD) on the relative timing of presynaptic and postsynaptic activities. The observation that LTP occurs when presynaptic activity precedes postsynaptic activity is consistent with Hebbian ideas regarding prediction. However, the computational role of LTD under the opposite condition (postsynaptic precedes presynaptic) does not find an easy explanation. Here, we propose that this form of LTD stabilizes learning of temporal associations. This conjecture is demonstrated in two tasks, and compared with another possible stabilizing mechanism, weight decay. (C) 2001 Elsevier Science B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0925-2312(01)00350-2 | NEUROCOMPUTING |
Keywords | Field | DocType |
long-term depression (LTD),prediction,spike-timing plasticity | Long-term potentiation,Neuroscience,Pattern recognition,Postsynaptic potential,Weight decay,Hebbian theory,Artificial intelligence,Stability factor,Spike-timing-dependent plasticity,Mathematics | Journal |
Volume | Issue | ISSN |
38 | 1-4 | 0925-2312 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul W. Munro | 1 | 99 | 13.86 |
| Gerardina Hernández | 2 | 0 | 0.34 |