Computational Neurodynamics Laboratory, University of Memphis, Memphis, TN, 38152, USA,
Cogn Neurodyn. 2007 Sep;1(3):213-23. doi: 10.1007/s11571-007-9016-y. Epub 2007 Mar 3.
Dynamic adaptation is a key feature of brains helping to maintain the quality of their performance in the face of increasingly difficult constraints. How to achieve high-quality performance under demanding real-time conditions is an important question in the study of cognitive behaviors. Animals and humans are embedded in and constrained by their environments. Our goal is to improve the understanding of the dynamics of the interacting brain-environment system by studying human behaviors when completing constrained tasks and by modeling the observed behavior. In this article we present results of experiments with humans performing tasks on the computer under variable time and resource constraints. We compare various models of behavior generation in order to describe the observed human performance. Finally we speculate on mechanisms how chaotic neurodynamics can contribute to the generation of flexible human behaviors under constraints.
动态适应是大脑的一个关键特征，有助于在面对越来越困难的限制时保持其性能的质量。如何在苛刻的实时条件下实现高质量的性能，是认知行为研究中的一个重要问题。动物和人类都被嵌入在其环境中并受到其限制。我们的目标是通过研究人类在完成受限制任务时的行为并对观察到的行为进行建模，来提高对相互作用的大脑-环境系统动态的理解。在本文中，我们展示了在计算机上进行受时间和资源限制的任务时人类的实验结果。我们比较了各种行为生成模型，以描述观察到的人类表现。最后，我们推测混沌神经动力学如何有助于在限制下生成灵活的人类行为的机制。
