Neuroimaging & Neuromodeling group, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47, 1105 BA Amsterdam, The Netherlands; Department of Educational Neuroscience, Faculty of Psychology & Education and Institute LEARN!, VU University Amsterdam, van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
The Laboratory for Investigative Neurophysiology (the LINE), Neuropsychology and Neurorehabilitation Service and Radiodiagnostic Service, University Hospital Center and University of Lausanne, Avenue Pierre Decker 5, 1011 Lausanne, Switzerland; EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
Neuron. 2014 Mar 19;81(6):1240-1253. doi: 10.1016/j.neuron.2014.02.044.
Research into the anatomical substrates and "principles" for integrating inputs from separate sensory surfaces has yielded divergent findings. This suggests that multisensory integration is flexible and context dependent and underlines the need for dynamically adaptive neuronal integration mechanisms. We propose that flexible multisensory integration can be explained by a combination of canonical, population-level integrative operations, such as oscillatory phase resetting and divisive normalization. These canonical operations subsume multisensory integration into a fundamental set of principles as to how the brain integrates all sorts of information, and they are being used proactively and adaptively. We illustrate this proposition by unifying recent findings from different research themes such as timing, behavioral goal, and experience-related differences in integration.
对整合来自不同感觉表面输入的解剖基质和“原则”的研究得出了不同的结果。这表明多感觉整合具有灵活性和上下文依赖性,并强调了需要动态适应的神经元整合机制。我们提出,灵活的多感觉整合可以通过组合经典的、基于群体的整合操作来解释,例如振荡相位重置和除法归一化。这些经典操作将多感觉整合纳入一个基本的原则集合,即大脑如何整合各种信息,并且它们正在被主动和自适应地使用。我们通过统一来自不同研究主题的最新发现来说明这一观点,例如时间、行为目标和整合方面的经验差异。