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Modeling elucidates how refractory period can provide profound nonlinear gain control to graded potential neurons

Zhuoyi Song1, Yu Zhou2, Mikko Juusola1,3

  • 1Department of Biomedical Science, University of Sheffield, Sheffield, United Kingdom zhuoyi.song@shef.ac.uk m.juusola@shef.ac.uk.

Physiological Reports
|June 10, 2017
PubMed

Keywords:
Drosophilafly photoreceptorlarge dynamic rangeneural adaptationquantal samplingquantum bumpstochasticityvision

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