Using slow frame rate imaging to extract fast receptive fields

Omer Mano, Matthew S. Creamer, Catherine A. Matulis, Emilio Salazar-Gatzimas, Juyue Chen, Jacob A. Zavatone-Veth and Damon A. Clark ()
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Omer Mano: Yale University
Matthew S. Creamer: Yale University
Catherine A. Matulis: Yale University
Emilio Salazar-Gatzimas: Yale University
Juyue Chen: Yale University
Jacob A. Zavatone-Veth: Yale University
Damon A. Clark: Yale University

Nature Communications, 2019, vol. 10, issue 1, 1-13

Abstract: Abstract In functional imaging, large numbers of neurons are measured during sensory stimulation or behavior. This data can be used to map receptive fields that describe neural associations with stimuli or with behavior. The temporal resolution of these receptive fields has traditionally been limited by image acquisition rates. However, even when acquisitions scan slowly across a population of neurons, individual neurons may be measured at precisely known times. Here, we apply a method that leverages the timing of neural measurements to find receptive fields with temporal resolutions higher than the image acquisition rate. We use this temporal super-resolution method to resolve fast voltage and glutamate responses in visual neurons in Drosophila and to extract calcium receptive fields from cortical neurons in mammals. We provide code to easily apply this method to existing datasets. This method requires no specialized hardware and can be used with any optical indicator of neural activity.

Date: 2019
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DOI: 10.1038/s41467-019-12974-0

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