\(\newcommand{\D}{\text{d}} \newcommand{\I}{\text{i}} \newcommand{\E}{\text{e}} \newcommand{\Prob}{\mathbb{P}} \newcommand{\Expect}{\mathbb{E}} \newcommand{\Var}{\text{Var}} \newcommand{\PAvg}[1]{\left[#1\right]} \newcommand{\Avg}[1]{\left\langle#1\right\rangle} \newcommand{\AvgJ}[1]{\Avg{#1}_{\bm J}} \newcommand{\AvgDyn}[1]{\Avg{#1}_{\text{dyn.}}} \newcommand{\CAvg}[2]{\Avg{#1}_{\left|#2\right.}} \newcommand{\Devi}{\mathfrak{d}}\)

参考文献

[vanVreeswijk1998]

van Vreeswijk, C., & Sompolinsky, H. (1998). Chaotic balanced state in a model of cortical circuits. Neural Computation, 10(6), 1321–71. http://dx.doi.org/10.1162/089976698300017214

[Ginzburg1994]

Ginzburg, I., & Sompolinsky, H. (1994). Theory of correlations in stochastic neural networks. Physical Review E, 50(4), 3171–3191. http://dx.doi.org/10.1103/PhysRevE.50.3171

[Derrida1987]

Derrida, B., Gardner, E., & Zippelius, A. (1987). An Exactly Solvable Asymmetric Neural Network Model. Europhysics Letters (EPL), 4(2), 167–173. http://dx.doi.org/10.1209/0295-5075/4/2/007

[Cinlar2011]

Çınlar, E., (2011). Probability and Stochastics. Springer New York (Vol. 230) http://dx.doi.org/10.1007/978-0-387-87859-1