Miles C F, Rogers D
Department of Neurology, Baylor College of Medicine, Houston, TX.
Int J Neural Syst. 1993 Jun;4(2):109-27. doi: 10.1142/s0129065793000110.
A synthesis of analytical techniques from the fields of biology, mathematics, computer science and engineering are used to model the information processing characteristics of the mammalian cerebellar cortex. By viewing anatomically different neurons as representing network elements whose input-output functions are different, a mechanism for distributing information throughout the memory is proposed. The functional circuitry developed to implement this feature is called the microcircuit. Overlapping microcircuit activity is used to describe the memory's read and write operations. Key features of the memory model include: (1) its use of a sparse interconnection network, (2) its ability to manipulate very large input patterns, (3) its distributed storage of input data patterns and (4) its statistical reconstruction of stored patterns during memory read operations. Quantitative measures for the memory's recall fidelity and storage capacity are derived and results of computer simulations are presented.
综合运用生物学、数学、计算机科学和工程学领域的分析技术，对哺乳动物小脑皮质的信息处理特性进行建模。通过将解剖学上不同的神经元视为代表输入输出功能不同的网络元件，提出了一种在整个记忆中分布信息的机制。为实现这一特性而开发的功能电路称为微电路。重叠的微电路活动用于描述记忆的读写操作。记忆模型的关键特性包括：（1）使用稀疏互连网络，（2）处理非常大的输入模式的能力，（3）输入数据模式的分布式存储，以及（4）在记忆读取操作期间对存储模式的统计重建。推导了记忆召回保真度和存储容量的定量度量，并给出了计算机模拟结果。
