Gauge Symmetry and Neural Networks

We propose a new model of neural network. It consists of spin variables to describe the state of neurons as in the Hopfield model and new gauge variables to describe the state of synapses. The model possesses local gauge symmetry and resembles lattice gauge theory of high-energy physics. Time dependence of synapses describes the process of learning. The mean field theory predicts a new phase corresponding to confinement phase, in which brain loses ablility of learning and memory.Comment: 9 pages, 7 figure

Algebraic aspects of the correlation functions of the integrable higher-spin XXZ spin chains with arbitrary entries

We discuss some fundamental properties of the XXZ spin chain, which are important in the algebraic Bethe-ansatz derivation for the multiple-integral representations of the spin-s XXZ correlation function with an arbitrary product of elementary matrices. For instance, we construct Hermitian conjugate vectors in the massless regime and introduce the spin-s Hermitian elementary matrices.Comment: 24 pages, to appear in the proceedings of "Infinite Analysis 09 - New Trends in Quantum Integrable Systems -", July 27-31, 2009, Kyoto University, Japa

Quantum Gauged Neural Network: U(1) Gauge Theory

A quantum model of neural network is introduced and its phase structure is examined. The model is an extension of the classical Z(2) gauged neural network of learning and recalling to a quantum model by replacing the Z(2) variables, $S_i = \pm1$ of neurons and $J_{ij} =\pm1$ of synaptic connections, to the U(1) phase variables, $S_i = \exp(i\phi_i)$ and $J_{ij} = \exp(i\theta_{ij})$. These U(1) variables describe the phase parts of the wave functions (local order parameters) of neurons and synaptic connections. The model takes the form similar to the U(1) Higgs lattice gauge theory, the continuum limit of which is the well known Ginzburg-Landau theory of superconductivity. Its current may describe the flow of electric voltage along axons and chemical materials transfered via synaptic connections. The phase structure of the model at finite temperatures is examined by the mean-field theory, and Coulomb, Higgs and confinement phases are obtained. By comparing with the result of the Z(2) model, the quantum effects is shown to weaken the ability of learning and recalling.Comment: 8 pages, 4 figures: Revised with a new referenc