Gutman A
Laboratory of Neurophysiology, Kaunas Medical Academy, Lithuania.
Int J Neural Syst. 1994 Jun;5(2):83-6. doi: 10.1142/s0129065794000104.
Neurons with bistable dendrites may fire persistently without persistent synaptic excitation while transient afferentation shifts the frequency of the persistent firing. These neurons change the firing frequency until they minimize their afferential input in a properly designed network. The afferentation minimum in this network is a stable state. The concept of the stable afferentation minimum generalizes Feldman's spring model of muscle control. An oversimplified network imitating the gamma-loop demonstrates the above statements.
具有双稳性树突的神经元可能在没有持续突触兴奋的情况下持续放电,而短暂的传入会改变持续放电的频率。在一个设计合理的网络中,这些神经元会改变放电频率,直到它们将传入输入降至最低。该网络中的传入输入最小值是一种稳定状态。稳定传入输入最小值的概念推广了费尔德曼的肌肉控制弹簧模型。一个模仿γ回路的过度简化网络证明了上述观点。