The dynamics and geometry of choice in premotor cortex.
The dynamics and geometry of choice in premotor cortex.
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前运动皮层的动力学和几何结构选择。
DOI：
10.1101/2023.07.22.550183
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Engel,TatianaA
中科院分区：
文献类型：
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作者：
Genkin,Mikhail;Shenoy,KrishnaV;Chandrasekaran,Chandramouli;Engel,TatianaA
大脑代表了神经群体协调活动中的感觉变量，其中单个神经元的调谐曲线定义了群体代码的几何形状。同样的编码原则是否适用于动态认知变量尚不清楚，因为内部认知过程在单一试验中以独特的时间进程展开，只有在异质神经群体的不规则尖峰中才能观察到。在这里，我们展示了灵长类前运动皮质中选择形成的动力学的种群编码的存在。我们开发了一种方法，可以同时推断种群动态和单个神经元对种群状态的调节函数。应用于决策过程中记录的棘波数据，我们的模型显示，神经元群体编码相同的动态变量预测选择，而不同的放电频率是由于单个神经元对该决策变量的不同调整造成的。推断的动力学表明决策计算是一种吸引子机制。我们的结果揭示了感觉和动态认知变量神经编码的共同几何原理。
The brain represents sensory variables in the coordinated activity of neural populations, in which tuning curves of single neurons define the geometry of the population code. Whether the same coding principle holds for dynamic cognitive variables remains unknown because internal cognitive processes unfold with a unique time course on single trials observed only in the irregular spiking of heterogeneous neural populations. Here we show the existence of such a population code for the dynamics of choice formation in the primate premotor cortex. We developed an approach to simultaneously infer population dynamics and tuning functions of single neurons to the population state. Applied to spike data recorded during decision-making, our model revealed that populations of neurons encoded the same dynamic variable predicting choices, and heterogeneous firing rates resulted from the diverse tuning of single neurons to this decision variable. The inferred dynamics indicated an attractor mechanism for decision computation. Our results reveal a common geometric principle for neural encoding of sensory and dynamic cognitive variables.