Homosynaptic long-term depression in hippocampus and mescsrtex

Computational models of self-organizing neural networks and associative memory depend on hebbian synaptic plasticity, a local learning rule for increasing synaptic strengths based on coincident electrical activity in presynaptic and postsynaptic neurons. Some forms of long-term potentiation (L TP) studied in the hippocampus and neocortex are hebbian. Learning rules in network models also incorporate long-lasting decreases in synaptic strengthsfor stability and efSiciency. W e review recent evidence for long-term depression (L TD) in the hippocampus and neocortex.