Haak Koen V, Winawer Jonathan, Harvey Ben M, Renken Remco, Dumoulin Serge O, Wandell Brian A, Cornelissen Frans W
Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Psychology, University of Minnesota, Minneapolis, MN, United States.
Department of Psychology, Stanford University, Stanford, CA, United States.
Neuroimage. 2013 Feb 1;66:376-84. doi: 10.1016/j.neuroimage.2012.10.037. Epub 2012 Oct 27.
The traditional way to study the properties of visual neurons is to measure their responses to visually presented stimuli. A second way to understand visual neurons is to characterize their responses in terms of activity elsewhere in the brain. Understanding the relationships between responses in distinct locations in the visual system is essential to clarify this network of cortical signaling pathways. Here, we describe and validate connective field modeling, a model-based analysis for estimating the dependence between signals in distinct cortical regions using functional magnetic resonance imaging (fMRI). Just as the receptive field of a visual neuron predicts its response as a function of stimulus position, the connective field of a neuron predicts its response as a function of activity in another part of the brain. Connective field modeling opens up a wide range of research opportunities to study information processing in the visual system and other topographically organized cortices.
研究视觉神经元特性的传统方法是测量它们对视觉呈现刺激的反应。理解视觉神经元的另一种方法是根据大脑其他部位的活动来描述它们的反应。了解视觉系统中不同位置的反应之间的关系对于阐明这个皮质信号通路网络至关重要。在这里，我们描述并验证了连接场建模，这是一种基于模型的分析方法，用于使用功能磁共振成像（fMRI）估计不同皮质区域信号之间的依赖性。正如视觉神经元的感受野根据刺激位置预测其反应一样，神经元的连接场根据大脑另一部分的活动预测其反应。连接场建模为研究视觉系统和其他拓扑组织皮质中的信息处理开辟了广泛的研究机会。
