-
- Gal Chechik
- School of Mathematical Sciences, Tel-Aviv University, Tel Aviv 69978, Israel
-
- Isaac Meilijson
- School of Mathematical Sciences, Tel-Aviv University, Tel Aviv 69978, Israel
-
- Eytan Ruppin
- Schools of Medicine and Mathematical Sciences, Tel-Aviv University, Tel Aviv 69978, Israel
説明
<jats:p> Human and animal studies show that mammalian brains undergo massive synaptic pruning during childhood, losing about half of the synapses by puberty. We have previously shown that maintaining the network performance while synapses are deleted requires that synapses be properly modified and pruned, with the weaker synapses removed. We now show that neuronal regulation, a mechanism recently observed to maintain the average neuronal input field of a postsynaptic neuron, results in a weight-dependent synaptic modification. Under the correct range of the degradation dimension and synaptic upper bound, neuronal regulation removes the weaker synapses and judiciously modifies the remaining synapses. By deriving optimal synaptic modification functions in an excitatory-inhibitory network, we prove that neuronal regulation implements near-optimal synaptic modification and maintains the performance of a network undergoing massive synaptic pruning. These findings support the possibility that neural regulation complements the action of Hebbian synaptic changes in the self-organization of the developing brain. </jats:p>
収録刊行物
-
- Neural Computation
-
Neural Computation 11 (8), 2061-2080, 1999-11-01
MIT Press - Journals
