Szabo Miruna, Almeida Rita, Deco Gustavo, Stetter Martin
Siemens AG, Corporate Technology, Information and Communications, 81730 Munich, Germany.
Eur J Neurosci. 2004 Apr;19(7):1969-77. doi: 10.1111/j.1460-9568.2004.03211.x.
Recent neurophysiological experimental results suggest that the prefrontal cortex plays an important role in filtering out unattended visual inputs. Here we propose a neurodynamical computational model of a part of the prefrontal cortex to account for the neural mechanisms defining this attentional filtering effect. Similar models have been employed to explain experimental results obtained during the performance of attention and working memory tasks. In this previous work the principle of biased competition was shown to successfully account for the experimental data. To model the attentional filtering effect, the biased competition model was extended to enable cooperation between stimulus selective neurons. We show that, in a biological relevant minimal model, competition and cooperation between the neurons are sufficient conditions for reproducing the attentional effect. Furthermore, a characterization of the parameter regime where the cooperation effect is observed is presented. Finally, we also reveal parameter regimes where the network has different modes of operation: selective working memory, attentional filtering, pure competition and noncompetitive amplification.
最近的神经生理学实验结果表明，前额叶皮层在过滤掉未被注意的视觉输入方面发挥着重要作用。在此，我们提出了一个前额叶皮层部分区域的神经动力学计算模型，以解释定义这种注意力过滤效应的神经机制。类似的模型已被用于解释在注意力和工作记忆任务执行过程中获得的实验结果。在之前的这项工作中，偏向竞争原则已被证明能够成功解释实验数据。为了模拟注意力过滤效应，对偏向竞争模型进行了扩展，以实现刺激选择性神经元之间的合作。我们表明，在一个具有生物学相关性的最小模型中，神经元之间的竞争与合作是重现注意力效应的充分条件。此外，还给出了观察到合作效应的参数范围的特征描述。最后，我们还揭示了网络具有不同运行模式的参数范围：选择性工作记忆、注意力过滤、纯粹竞争和非竞争性放大。
