期刊
CELL
卷 166, 期 1, 页码 245-257出版社
CELL PRESS
DOI: 10.1016/j.cell.2016.05.031
关键词
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资金
- NIH [S10RR027431-01, NS069375, R01 EY022638, R21 NS081507]
- Stanford Neurosciences Institute
- National Science Foundation [1134416]
- Defense Advanced Research Projects Agency (DARPA) [W911NF-14-1-0013]
- NIH Brain Initiative grant [1U01NS090600-01]
- Stanford Graduate Fellowship
- Stanford Interdisciplinary Graduate Fellowship
- Rita Allen Foundation
- Burroughs Wellcome Fund
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1134416] Funding Source: National Science Foundation
A mechanistic understanding of neural computation requires determining how information is processed as it passes through neurons and across synapses. However, it has been challenging to measure membrane potential changes in axons and dendrites in vivo. We use in vivo, two-photon imaging of novel genetically encoded voltage indicators, as well as calcium imaging, to measure sensory stimulus-evoked signals in the Drosophila visual system with subcellular resolution. Across synapses, we find major transformations in the kinetics, amplitude, and sign of voltage responses to light. We also describe distinct relationships between voltage and calcium signals in different neuronal compartments, a substrate for local computation. Finally, we demonstrate that ON and OFF selectivity, a key feature of visual processing across species, emerges through the transformation of membrane potential into intracellular calcium concentration. By imaging voltage and calcium signals to map information flow with subcellular resolution, we illuminate where and how critical computations arise.
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