Marro Joaquín, Torres Joaquín J, Cortés Jesús M
Institute Carlos I for Theoretical and Computational Physics, and Departamento de Electromagnetismo y Física de la Materia, University of Granada, E-18071-Granada, Spain.
Neural Netw. 2007 Mar;20(2):230-5. doi: 10.1016/j.neunet.2006.11.005. Epub 2006 Dec 28.
We present a neurobiologically-inspired stochastic cellular automaton whose state jumps with time between the attractors corresponding to a series of stored patterns. The jumping varies from regular to chaotic as the model parameters are modified. The resulting irregular behavior, which mimics the state of attention in which a system shows a great adaptability to changing stimulus, is a consequence in the model of short-time presynaptic noise which induces synaptic depression. We discuss results from both a mean-field analysis and Monte Carlo simulations.
我们提出了一种受神经生物学启发的随机细胞自动机，其状态随时间在对应于一系列存储模式的吸引子之间跳跃。随着模型参数的修改，跳跃从规则变为混沌。由此产生的不规则行为模仿了注意力状态，即系统对不断变化的刺激表现出很强的适应性，这是模型中短时突触前噪声诱导突触抑制的结果。我们讨论了平均场分析和蒙特卡罗模拟的结果。
