Reichgelt H
Department of Computer Science, University of West Indies, Mona, Kingston, Jamaica.
Mol Chem Neuropathol. 1996 May-Aug;28(1-3):231-5. doi: 10.1007/BF02815227.
Neural networks are models of the brain and have been used within Artificial Intelligence to provide alternative explanations to the symbolic explanations of cognition in which one assumes that an intelligent system has certain explicit representation of some aspect of the world and uses these in intelligent behavior. Obviously, if neural networks are indeed good models of the brain, and give a satisfactory account of cognition, then they could be a valuable tool to neuroscientists. This article gives a brief overview of the various neural network models, and critically reviews their status as models of the brain and of cognition.
神经网络是大脑的模型，已被用于人工智能领域，以提供对认知的符号解释的替代解释。在符号解释中，人们假定智能系统对世界的某些方面有特定的明确表示，并在智能行为中使用这些表示。显然，如果神经网络确实是大脑的良好模型，并能对认知给出令人满意的解释，那么它们可能成为神经科学家的宝贵工具。本文简要概述了各种神经网络模型，并批判性地审视了它们作为大脑和认知模型的地位。
