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Asymmetric Synaptic Connections in Z(2) Gauge Neural Network

机译:Z(2)规范神经网络中的不对称突触连接

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We consider Z(2) gauge neural network which involves neuron variables S_i(= ±1) and synaptic connection (gauge) variables J_(ij)(= ±1). Its energy consists of the Hopfield term -c_1S_iJ_(ij)S_j and the reverberation term -c_2J_(ij)J_(jk)J_(ki) for signal propagation on a closed loop. The model of symmetric couplings J_(ij) = J_(ji) has been studied; its phase diagram in the c_2 - c_1 plane exhibits Higgs, Coulomb and confinement phases, each of which is characterized by the ability of learning and/or recalling patterns. In this paper, we consider the model of asymmetric coupling (J_(ij) and J_(ji) are independent), and examine the effect of asymmetry on a partially connected random network.
机译:我们考虑涉及神经元变量S_i(=±1)和突触连接(量规)变量J_(ij)(=±1)的Z(2)规范神经网络。它的能量由Hopfield项-c_1S_iJ_(ij)S_j和混响项-c_2J_(ij)J_(jk)J_(ki)组成,用于在闭环上传播信号。研究了对称耦合J_(ij)= J_(ji)的模型;其在c_2 - c_1平面上的相图表现出希格斯,库仑和约束阶段,每个阶段都具有学习和/或记忆模式的能力。在本文中,我们考虑了非对称耦合模型(J_(ij)和J_(ji)是独立的),并研究了非对称性对部分连接随机网络的影响。

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