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Multiscale organization of neuronal activity unifies scale-dependent theories of brain function
Cell ( IF 45.5 ) Pub Date : 2024-10-30 , DOI: 10.1016/j.cell.2024.10.004 Brandon R. Munn, Eli J. Müller, Itia Favre-Bulle, Ethan Scott, Joseph T. Lizier, Michael Breakspear, James M. Shine
Cell ( IF 45.5 ) Pub Date : 2024-10-30 , DOI: 10.1016/j.cell.2024.10.004 Brandon R. Munn, Eli J. Müller, Itia Favre-Bulle, Ethan Scott, Joseph T. Lizier, Michael Breakspear, James M. Shine
Brain recordings collected at different resolutions support distinct signatures of neural coding, leading to scale-dependent theories of brain function. Here, we show that these disparate signatures emerge from a heavy-tailed, multiscale functional organization of neuronal activity observed across calcium-imaging recordings collected from the whole brains of zebrafish and C. elegans as well as from sensory regions in Drosophila, mice, and macaques. Network simulations demonstrate that this conserved hierarchical structure enhances information processing. Finally, we find that this organization is maintained despite significant cross-scale reconfiguration of cellular coordination during behavior. Our findings suggest that this nonlinear organization of neuronal activity is a universal principle conserved for its ability to adaptively link behavior to neural dynamics across multiple spatiotemporal scales while balancing functional resiliency and information processing efficiency.
中文翻译:
神经元活动的多尺度组织统一了大脑功能的尺度依赖性理论
以不同分辨率收集的大脑记录支持神经编码的不同特征,从而产生了大脑功能的尺度依赖性理论。在这里,我们表明这些不同的特征来自神经元活动的重尾、多尺度功能组织,这些组织从斑马鱼和秀丽隐杆线虫的整个大脑以及果蝇、小鼠和猕猴的感觉区域收集的钙成像记录中观察到。网络模拟表明,这种保守的层次结构增强了信息处理。最后,我们发现,尽管在行为过程中细胞协调发生了显着的跨尺度重新配置,但这种组织得以维持。我们的研究结果表明,神经元活动的这种非线性组织是一个普遍的原则,因为它能够在平衡功能弹性和信息处理效率的同时,将行为与多个时空尺度的神经动力学自适应地联系起来。
更新日期:2024-10-31
中文翻译:
神经元活动的多尺度组织统一了大脑功能的尺度依赖性理论
以不同分辨率收集的大脑记录支持神经编码的不同特征,从而产生了大脑功能的尺度依赖性理论。在这里,我们表明这些不同的特征来自神经元活动的重尾、多尺度功能组织,这些组织从斑马鱼和秀丽隐杆线虫的整个大脑以及果蝇、小鼠和猕猴的感觉区域收集的钙成像记录中观察到。网络模拟表明,这种保守的层次结构增强了信息处理。最后,我们发现,尽管在行为过程中细胞协调发生了显着的跨尺度重新配置,但这种组织得以维持。我们的研究结果表明,神经元活动的这种非线性组织是一个普遍的原则,因为它能够在平衡功能弹性和信息处理效率的同时,将行为与多个时空尺度的神经动力学自适应地联系起来。