Laboratoire de Psychologie Cognitive et Sociale, Université de Nice-Sophia Antipolis, Nice, France.
J Cogn Neurosci. 2011 Jun;23(6):1447-74. doi: 10.1162/jocn.2010.21504. Epub 2010 Apr 30.
Recall and language comprehension while processing sequences of words involves multiple semantic priming between several related and/or unrelated words. Accounting for multiple and interacting priming effects in terms of underlying neuronal structure and dynamics is a challenge for current models of semantic priming. Further elaboration of current models requires a quantifiable and reliable account of the simplest case of multiple priming resulting from two primes on a target. The meta-analytic approach offers a better understanding of the experimental data from studies on multiple priming regarding the additivity pattern of priming. The meta-analysis points to the effects of prime-target stimuli onset asynchronies on the pattern of underadditivity, overadditivity, or strict additivity of converging activation from multiple primes. The modeling approach is then constrained by results of the meta-analysis. We propose a model of a cortical network embedding spike frequency adaptation, which allows frequency and time-dependent modulation of neural activity. Model results give a comprehensive understanding of the meta-analysis results in terms of dynamics of neuron populations. They also give predictions regarding how stimuli intensities, association strength, and spike frequency adaptation influence multiple priming effects.
在处理词序列时，回忆和语言理解涉及到几个相关和/或不相关的词之间的多次语义启动。根据潜在的神经元结构和动力学来解释多次和相互作用的启动效应，是语义启动当前模型面临的挑战。进一步阐述当前的模型需要对来自两个启动词对目标词的最简单多次启动情况进行可量化和可靠的描述。元分析方法可以更好地理解关于多次启动的加性模式的研究中的实验数据。元分析指出了启动-目标刺激起始时间差对来自多个启动的汇聚激活的次加性、超加性或严格加性的影响。然后，模型方法受到元分析结果的限制。我们提出了一个嵌入尖峰频率适应的皮质网络模型，该模型允许对神经元活动进行频率和时间依赖的调制。模型结果从神经元群体的动力学角度全面理解了元分析的结果。它们还对刺激强度、关联强度和尖峰频率适应如何影响多次启动效应做出了预测。
