CRCNS: Microimaging/modeling of retinal responses measured with laser magnetometer

对神经元活动的磁测量提供了有关大脑功能的有价值的信息， 允许识别源和表征系统动态。此前， 在整个大脑的尺度上以低空间分辨率记录信息。不断出现的新 基于超灵敏原子磁力计的技术，允许微尺度神经系统 试探最近，NV-金刚石磁力计由于其应用前景而吸引了相当大的兴趣。 神经元磁场的高灵敏度和分辨率。显微磁场成像. 几个神经元的水平是一个新的和潜在的革命性的方向， 神经成像磁场标测提供了功能上重要的直接信息 神经元中的过程，可能比其他技术具有更好的确定性和分辨率 动态神经元网络的多尺度建模对于理解人类如何 大脑工作。这种建模可以填补固有的有限实验数据的空白，使我们能够 改进建模假设。更现实的系统模型可以测试与建议 实验目前基于简化神经元模型的大规模神经元网络模拟， 将结合解剖学上的真实磁场计算来预测 神经元系统在多个尺度。这些模型可以帮助我们更好地理解 脑磁图（MEG），并可能建议有用的策略，以加强其他方法的基础上， 磁测量，如用MRI对神经元电流成像。 我们的多方面合作，将超灵敏磁场测量技术 基于原子和NV金刚石磁力计，具有生理测量方面的专业知识， 大规模神经网络成像，加上详细的磁场计算，使这一点成为可能。 具有挑战性但有价值的项目。

Magnetic measurements of neuronal activity provide valuable information about brain function, allowing identification of sources and characterization of system dynamics. Previously, this information was recorded with low spatial resolution at the scale of the whole brain. Emerging new technology based on ultra-sensitive Atomic magnetometers, allows micro-scale neural systems to be probed. Recently, NV-diamond magnetometers attracted considerable interest due to prospects for high sensitivity and resolution of the neuronal magnetic field. Microscopic magnetic field imaging at the level of a few neurons is a novel and potentially revolutionary direction for functional neuroimaging. Magnetic field mapping provides direct information on functionally significant processes in neurons, potentially with better certainty and resolution than other techniques Multi-scale modeling of dynamic neuronal networks is essential for understanding how the human brain works. Such modeling can fill the gaps in inherently limited experimental data, allowing us to improve modeling assumptions. More realistic system models can be tested with proposed experiments. Large-scale neuronal network simulations, currently based on simplified neuron models, will be coupled with anatomically realistic magnetic field calculations to predict magnetic fields of neuronal systems at multiple scales. The models can improve our understanding of the genesis of magnetoencephalography (MEG) and may suggest useful strategies to enhance other methods based on magnetic measurements, such as imaging of neuronal current with MRI. Our multi-faceted collaboration, linking the technology of ultra-sensitive magnetic field measurements based on atomic and NV-diamond magnetometers, with expertise in physiological measurements and large-scale neural network imaging, coupled with detailed magnetic field calculations, enables this challenging but rewarding project.