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信号切换可能增强大脑的处理能力。

Signal switching may enhance processing power of the brain.

机构信息

Department of Psychology and Neuroscience, Duke University, Durham, NC, 27705, USA; Department of Neurobiology, Duke University, Durham, NC, 27705, USA; Department of Biomedical Engineering, Duke University, Durham, NC, 27705, USA; Department of Computer Science, Duke University, Durham, NC, 27705, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, 27705, USA; Duke Institute for Brain Sciences, Duke University, Durham, NC, 27705, USA.

Department of Neurobiology, Duke University, Durham, NC, 27705, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, 27705, USA; Duke Institute for Brain Sciences, Duke University, Durham, NC, 27705, USA.

出版信息

Trends Cogn Sci. 2024 Jul;28(7):600-613. doi: 10.1016/j.tics.2024.04.008. Epub 2024 May 18.

Abstract

Our ability to perceive multiple objects is mysterious. Sensory neurons are broadly tuned, producing potential overlap in the populations of neurons activated by each object in a scene. This overlap raises questions about how distinct information is retained about each item. We present a novel signal switching theory of neural representation, which posits that neural signals may interleave representations of individual items across time. Evidence for this theory comes from new statistical tools that overcome the limitations inherent to standard time-and-trial-pooled assessments of neural signals. Our theory has implications for diverse domains of neuroscience, including attention, figure binding/scene segregation, oscillations, and divisive normalization. The general concept of switching between functions could also lend explanatory power to theories of grounded cognition.

摘要

我们感知多个物体的能力是神秘的。感觉神经元广泛调谐,在场景中每个物体激活的神经元群体中产生潜在的重叠。这种重叠引发了关于如何保留每个项目的独特信息的问题。我们提出了一种新的神经表示信号切换理论,该理论假设神经信号可能在时间上交错表示各个项目。该理论的证据来自新的统计工具,这些工具克服了标准的时间和试验池评估神经信号所固有的限制。我们的理论对神经科学的多个领域都有影响,包括注意力、图形绑定/场景分离、振荡和除法归一化。在功能之间切换的一般概念也可以为基于基础的认知理论提供解释力。

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