Modeling elucidates how refractory period can provide profound nonlinear gain control to graded potential neurons
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 18536
- Type
- D - Journal article
- DOI
-
10.14814/phy2.13306
- Title of journal
- Physiological reports
- Article number
- e13306
- First page
- -
- Volume
- 5
- Issue
- -
- ISSN
- 2051-817X
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- 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 paper reports a new model of refractory period of neurons for graded potential of neurons. It is part of collaborative efforts between UCLan, the University of Sheffield and Fudan 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) and other sources. It studied the single neuron level encoding mechanism in biological vision systems 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
- -
