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Inferring spikes from calcium imaging in dopamine neurons

机译:从多巴胺神经元中的钙成像推断出尖峰

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Calcium imaging has led to discoveries about neural correlates of behavior in subcortical neurons, including dopamine (DA) neurons. However, spike inference methods have not been tested in most populations of subcortical neurons. To address this gap, we simultaneously performed calcium imaging and electrophysiology in DA neurons in brain slices and applied a recently developed spike inference algorithm to the GCaMP fluorescence. This revealed that individual spikes can be inferred accurately in this population. Next, we inferred spikes in vivo from calcium imaging from these neurons during Pavlovian conditioning, as well as during navigation in virtual reality. In both cases, we quantitatively recapitulated previous in vivo electrophysiological observations. Our work provides a validated approach to infer spikes from calcium imaging in DA neurons and implies that aspects of both tonic and phasic spike patterns can be recovered.
机译:钙成像导致了关于皮下神经元中的神经关联的神经关联,包括多巴胺(DA)神经元。 然而,尖峰推断方法尚未在大多数皮下神经元的群体中进行测试。 为了解决这种差距,我们在脑切片中同时进行了钙成像和电生理学,并将最近开发的尖峰推理算法应用于Gcamp荧光。 这揭示了在这个人口中可以准确推断出各个尖峰。 接下来,我们在Pavlovian调理期间从这些神经元的钙成像中的体内推断出尖峰,以及在虚拟现实中的导航期间。 在这两种情况下,我们在体内电生理观察中定量重新核发。 我们的作品提供了一种验证的方法来从DA神经元中的钙成像推断出尖峰,并意味着可以回收补品和相位尖峰图案的各个方面。

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