Random Photon Absorption Model Elucidates How Early Gain Control in Fly Photoreceptors Arises from Quantal Sampling
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 14848
- Type
- D - Journal article
- DOI
-
10.3389/fncom.2016.00061
- Title of journal
- Frontiers in Computational Neuroscience
- Article number
- 61
- First page
- -
- Volume
- 10
- Issue
- -
- ISSN
- 1662-5188
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
C - Centre for Applied Digital Signal and Image Processing
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is one paper in a series on a related topic, resulting from a collaboration between UCLan, University College London, the University of Sheffield and Beijing Normal University. The research was funded by an EPSRC-funded 2020 Science fellowship (EP/I017909/1), the open research fund of the State Key Laboratory of Cognitive Neuroscience and Learning, NSFC project (30810103906), Biological Sciences Research Council Grants BB/F012071/1, BB/D001900/1, BB/H013849/1, and BB/M009564/1, and other sources. It highlights the adaptability and nonlinearities within drosophila photoreceptors and contributed to the formulation of a major funding application to the Royal Society in 2018 as well as further collaborative work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
