Chechik G, Meilijson I, Ruppin E
School of Mathematical Sciences, Tel-Aviv University, Tel Aviv 69978, Israel.
Neural Comput. 1999 Nov 15;11(8):2061-80. doi: 10.1162/089976699300016089.
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.
人类和动物研究表明,哺乳动物的大脑在童年时期会经历大规模的突触修剪,到青春期时大约会失去一半的突触。我们之前已经表明,在删除突触的同时维持网络性能需要对突触进行适当的修改和修剪,去除较弱的突触。我们现在表明,神经元调节(一种最近观察到的维持突触后神经元平均神经元输入场的机制)会导致依赖权重的突触修饰。在降解维度和突触上限的正确范围内,神经元调节会去除较弱的突触,并明智地修改其余突触。通过推导兴奋性 - 抑制性网络中的最优突触修饰函数,我们证明神经元调节实现了近乎最优的突触修饰,并维持了经历大规模突触修剪的网络的性能。这些发现支持了神经调节在发育中大脑的自组织过程中补充赫布式突触变化作用的可能性。