Nonlinear Control in Theoretical Neuroscience

该项目将利用和扩展最近开发的建模框架，以了解神经系统如何通过选择性调制神经回路中的正反馈来调节信息处理。这种反馈的一个标志是大脑各区域的连贯振荡，这种振荡在动物和人类身上很容易检测到，目前还缺乏解释。我们将使用非线性控制，计算建模和生物数据分析的前沿工具来构建神经回路模型，该模型使用这些生物机制来灵活地控制细胞和电路水平的计算。我们将使用这些工具来了解神经系统如何使计算对噪声和其他不可避免的扰动具有鲁棒性。

This project will exploit and extend recently developed modelling frameworks to understand how the nervous system regulates information processing by selective modulation of positive feedback in neural circuits. A hallmark of this feedback is coherent oscillations across brain areas, which are readily detectable in animals and humans and currently lack an explanation. We will use cutting-edge tools from nonlinear control, computational modelling and biological data analysis to build neural circuit models that use these biological mechanisms to flexibly control computations at the cellular and circuit level. We will use these tools to understand how the nervous system makes computations robust to noise and other unavoidable perturbations.