潜在抑制中的脑-行为关系：一种计算模型。

Brain-behaviour relationships in latent inhibition: a computational model.

作者信息

Schmajuk Nestor

机构信息

Department of Psychological and Brain Sciences, Duke University, Flowers Drive, Durham, NC 27708, USA.

出版信息

Neurosci Biobehav Rev. 2005;29(6):1001-20. doi: 10.1016/j.neubiorev.2005.02.005.

DOI:10.1016/j.neubiorev.2005.02.005

PMID:15979142

Abstract

In a series of studies, we applied a neural network to study the neural bases of latent inhibition. We first designed a model able to handle behavioral data and then we investigated whether structures and neural elements in the brain were able to carry out the operations described by network. We demonstrated that the network was able to describe many of the behavioral properties of LI, and elucidate the effects of several manipulations of the dopaminergic system, the hippocampus, and the nucleus accumbens on LI, as well as some of the positive symptoms of schizophrenia. The results support the idea that a 'conceptual nervous system' can be successfully used to relate brain and behavior.

摘要

在一系列研究中，我们应用神经网络来研究潜在抑制的神经基础。我们首先设计了一个能够处理行为数据的模型，然后研究大脑中的结构和神经元件是否能够执行网络所描述的操作。我们证明该网络能够描述潜在抑制的许多行为特性，并阐明多巴胺能系统、海马体和伏隔核的几种操作对潜在抑制的影响，以及精神分裂症的一些阳性症状。结果支持了这样一种观点，即“概念神经系统”可以成功地用于关联大脑和行为。