Galletly C A, Clark C R, McFarlane A C
Queen Elizabeth Hospital, Adelaide, Australia.
J Psychiatry Neurosci. 1996 Jul;21(4):239-47.
Artificial neural networks are computer simulations of biological parallel distributed processing systems. They are able to undertake complex pattern recognition tasks, including diagnostic classification, prediction of disease onset and prognosis, and identification of determinants of clinical decisions. These capabilities have been utilized in general medicine, but as yet there has been little application of artificial neural networks in psychiatric research. Artificial neural networks can also be used to create models of brain function, providing a paradigm for cognition and the organization of neural systems that demonstrates how changes at the cellular level can affect information processing. These models are able to encompass both the biological and the behavioral dimensions of psychiatric disorders.
人工神经网络是生物并行分布式处理系统的计算机模拟。它们能够承担复杂的模式识别任务，包括诊断分类、疾病发作和预后的预测以及临床决策决定因素的识别。这些能力已在普通医学中得到应用，但迄今为止人工神经网络在精神病学研究中的应用还很少。人工神经网络还可用于创建脑功能模型，为认知和神经系统组织提供一种范例，展示细胞水平的变化如何影响信息处理。这些模型能够涵盖精神疾病的生物学和行为维度。
