PHYSIOLOGICAL INTERPRETATION OF THE SELF-ORGANIZING MAP ALGORITHM
PHYSIOLOGICAL INTERPRETATION OF THE SELF-ORGANIZING MAP ALGORITHM
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DOI：
10.1016/s0893-6080(09)80001-4
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发表时间：
1993-01-01
期刊：
影响因子：
7.8
通讯作者：
KOHONEN, T
中科院分区：
文献类型：
--
作者：
KOHONEN, T
认为自组织映射（SOM）可以在生物神经网络中实现，其细胞通过跨突触信号以及扩散化学物质进行通信。对于“赢家通吃”（WTA）函数，横向连接的神经网络似乎是合适的。赫布关于突触修饰的假设在这项工作中被一个与化学相互作用的小群体神经元有关的原理所取代。根据这个修改后的定律，突触强度向量也自动归一化。SOM算法中所需的时变“邻域函数”最有效地由化学试剂实现，这些化学试剂在高度活跃的细胞处或附近形成或释放到细胞外。这样一个生理模型，然后表现在相同的方式作为理想化的SOM算法，这已被发现在许多信息处理应用程序中非常有效。
It is argued that the Self-Organizing Map (SOM) may be implemented in biological neural networks, the cells of which communicate by transsynaptic signals as well as diffuse chemical substances. For the ''Winner Take All'' (WTA) function, a laterally connected neural network seems proper. Hebb's hypothesis about the synaptic modification is replaced in this work by a principle that relates to a chemically interacting small population of neurons. According to this modified law, the synaptic strength vectors also become normalized automatically. The time-variable ''neighborhood function'' needed in the SOM algorithm is most effectively implemented by chemical agents, which are formed or released extracellularly at or in the neighborhood of highly active cells. Such a physiological model then behaves in the same way as the idealized SOM algorithm, which has been found very effective in many information-processing applications.