Towards a Physarum learning chip
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 924494
- Type
- D - Journal article
- DOI
-
10.1038/srep19948
- Title of journal
- Scientific Reports
- Article number
- 19948
- First page
- -
- Volume
- 6
- Issue
- -
- ISSN
- 2045-2322
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1038/srep19948
- 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
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper documents the discovery of the phenomenon of pathway-dependant plasticity in slime mould. In response to application of sinusoidal voltage to network nodes, the biomass morphology changes in response to the stimulus.
This is similar to the taught plasticity of a neuronal network, slime mould networks demonstrate two dimensional spatial learning and changes the weighting of each network given either positive or negative stimuli.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
