Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 82385019
- Type
- D - Journal article
- DOI
-
10.3389/fnins.2018.00291
- Title of journal
- Frontiers in Neuroscience
- Article number
- 291
- First page
- -
- Volume
- 12
- Issue
- MAY
- ISSN
- 1662-4548
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- 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
- No
- Number of additional authors
-
8
- Research group(s)
-
A - Computer Science
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "The outcome of a significant international collaboration within the Human Brain Project, this paper presents the most detailed and complex biological model ever to be run successfully on a neuromorphic platform.
Underpins subsequent work leading to this model running in real-time on SpiNNaker: see ""Real-Time Cortical Simulation on Neuromorphic Hardware"", Proc A Roy. Soc.
Forms the foundation for work in the next stage of the Human Brain Project to build multi-area cortical microcircuit models with the goal of eliciting theories of cortical function."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
