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[精神分裂症与神经网络理论]

[Schizophrenia and the theory of neural networks].

作者信息

Massing W

机构信息

Tagesklinik der Nervenklinik Langenhagen der Landeshauptstadt Hannover.

出版信息

Fortschr Neurol Psychiatr. 1989 Feb;57(2):70-3. doi: 10.1055/s-2007-1000746.

Abstract

Artificial neuronal networks increasingly serve the interpretation of neuro-biological problems. Typically, neuronal networks store "associations". By a "store-matrix", which works like holography because it sums up many memories, a new impression is assigned to the most similar memory satisfying the criterion of minimal Hamming distance. Schizophrenia-like reactions arise in the case the neuronal network is overloaded with too many memories. Aside from the fascinating power of the model it needs to be criticized and possibly improved. "Ball" is both a spherical object and a dance. Although the semantical levels are at a great distance from each other, the Hamming distance of the binary coded chains of symbols "ball"-"ball" is zero. The investigation of schizophrenic disturbances shows that a few of them-inversing the model-assumptions-prefer associations by using the criterion of minimal Hamming distance.

摘要

人工神经网络越来越多地用于解释神经生物学问题。通常,神经网络存储“关联”。通过一个类似于全息术的“存储矩阵”,它将许多记忆进行汇总,根据汉明距离最小的标准,新的印象会被分配给最相似的记忆。当神经网络因记忆过多而超载时,就会出现类似精神分裂症的反应。除了该模型令人着迷的能力外,它也需要受到批评并可能加以改进。“球”既是一个球形物体,也是一种舞蹈。尽管语义层面彼此相差甚远,但符号“ball”-“ball”的二进制编码链的汉明距离为零。对精神分裂症障碍的研究表明,其中一些人——与模型假设相反——倾向于使用汉明距离最小的标准来建立关联。

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