Kurt Simone, Deutscher Anke, Crook John M, Ohl Frank W, Budinger Eike, Moeller Christoph K, Scheich Henning, Schulze Holger
Leibniz Institute for Neurobiology, Magdeburg, Germany.
PLoS One. 2008 Mar 5;3(3):e1735. doi: 10.1371/journal.pone.0001735.
Brains decompose the world into discrete objects of perception, thereby facing the problem of how to segregate and selectively address similar objects that are concurrently present in a scene. Theoretical models propose that this could be achieved by neuronal implementations of so-called winner-take-all algorithms where neuronal representations of objects or object features interact in a competitive manner. Here we present evidence for the existence of such a mechanism in an animal species. We present electrophysiological, neuropharmacological and neuroanatomical data which suggest a novel view of the role of GABA(A)-mediated inhibition in primary auditory cortex (AI), where intracortical GABA(A)-mediated inhibition operates on a global scale within a circular map of sound periodicity representation in AI, with functionally inhibitory projections of similar effect from any location throughout the whole map. These interactions could underlie the proposed competitive "winner-take-all" algorithm to support object segregation, e.g., segregation of different speakers in cocktail-party situations.
大脑将世界分解为离散的感知对象,从而面临如何分离并选择性处理场景中同时出现的相似对象这一问题。理论模型提出,这可以通过所谓的胜者全得算法的神经元实现来达成,其中对象或对象特征的神经元表征以竞争方式相互作用。在此,我们展示了动物物种中存在这种机制的证据。我们呈现了电生理、神经药理学和神经解剖学数据,这些数据提示了γ-氨基丁酸A型(GABA(A))介导的抑制在初级听觉皮层(AI)中作用的全新观点,即皮层内GABA(A)介导的抑制在AI中声音周期表征的圆形图谱内以全局方式运作,在整个图谱的任何位置都有功能相似的抑制性投射。这些相互作用可能是所提出的竞争性“胜者全得”算法的基础,以支持对象分离,例如在鸡尾酒会场景中分离不同的说话者。