论文标题
大脑连接组的年龄
Brain Connectomes Come of Age
论文作者
论文摘要
鼠标，猕猴和马莫斯特猴子的定向和加权连接性数据库最近已开始使用，并开始用于构建动态模型。可以根据皮质连接的层流模式来定义层次组织，这可能通过丘脑皮质预测改善。猕猴皮层的大规模模型赋予了层状结构，该模型是对自下而上和自上而下过程之间层依赖性和频率调制的相互作用的说明。带有尖峰神经元模型版本中的信号传播显示了活动的刺激幅度阈值，以便获得前额叶皮层的访问，让人联想到与有意识感知相关的点火现象。这两个示例说明了连接组学如何为理论提供信息，从而导致发现。计算建模在实验家和理论家的来回合作中为未来的实证研究提出了开放的问题。
Databases of directed- and weighted- connectivity for mouse, macaque and marmoset monkeys, have recently become available and begun to be used to build dynamical models. A hierarchical organization can be defined based on laminar patterns of cortical connections, possibly improved by thalamocortical projections. A large-scale model of the macaque cortex endowed with a laminar structure accounts for layer-dependent and frequency-modulated interplays between bottom-up and top-down processes. Signal propagation in a version of the model with spiking neurons displays a threshold of stimulus amplitude for the activity to gain access to the prefrontal cortex, reminiscent of the ignition phenomenon associated with conscious perception. These two examples illustrate how connectomics may inform theory leading to discoveries. Computational modeling raises open questions for future empirical research, in a back-and-forth collaboration of experimentalists and theorists.
