Machens Christian K, Romo Ranulfo, Brody Carlos D
Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA.
Science. 2005 Feb 18;307(5712):1121-4. doi: 10.1126/science.1104171.
Networks adapt to environmental demands by switching between distinct dynamical behaviors. The activity of frontal-lobe neurons during two-interval discrimination tasks is an example of these adaptable dynamics. Subjects first perceive a stimulus, then hold it in working memory, and finally make a decision by comparing it with a second stimulus. We present a simple mutual-inhibition network model that captures all three task phases within a single framework. The model integrates both working memory and decision making because its dynamical properties are easily controlled without changing its connectivity. Mutual inhibition between nonlinear units is a useful design motif for networks that must display multiple behaviors.
网络通过在不同的动态行为之间切换来适应环境需求。在两间隔辨别任务中额叶神经元的活动就是这些适应性动态的一个例子。受试者首先感知一个刺激，然后将其保持在工作记忆中，最后通过将其与第二个刺激进行比较来做出决定。我们提出了一个简单的相互抑制网络模型，该模型在单个框架内捕获了所有三个任务阶段。该模型整合了工作记忆和决策，因为其动态特性在不改变其连接性的情况下很容易控制。非线性单元之间的相互抑制对于必须展示多种行为的网络来说是一种有用的设计模式。
