Real-Time Cortical Simulation on Neuromorphic Hardware
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 157822548
- Type
- D - Journal article
- DOI
-
10.1098/rsta.2019.0160
- Title of journal
- Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences
- Article number
- -
- First page
- 1
- Volume
- 378
- Issue
- 2164
- ISSN
- 1471-2946
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2019
- 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
-
6
- Research group(s)
-
A - Computer Science
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Significant milestone in the development of the SpiNNaker software stack, modelling complex biological networks. It delivers the first version of the cortical microcircuit model to run in real time - simulating 77,000 neurons in real-time.
Provided a step-change in the SpiNNaker real-time modelling envelope - in the number of synapses per neuron (from 1,000 to several thousand) and in temporal resolution (from 1ms to 0.1ms timesteps).
Critical in the next funding stage of the EU Human Brain Project, to build multi-area cortical microcircuit models with the goal of eliciting theories of cortical function.
Media: New Scientist (Oct 2019)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
