Knight, James C and Nowotny, Thomas (2021) Larger GPU-accelerated brain simulations with procedural connectivity. Nature Computational Science, 1. pp. 136-142. ISSN 2662-8457
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Abstract
Simulations are an important tool for investigating brain function but large models are needed to faithfully reproduce the statistics and dynamics of brain activity. Simulating large spiking neural network models has, until now, needed so much memory for storing synaptic connections that it required high performance computer systems. Here, we present an alternative simulation method we call `procedural connectivity' where connectivity and synaptic weights are generated `on the fly' instead of stored and retrieved from memory. This method is particularly well-suited for use on Graphical Processing Units (GPUs) − which are a common fixture in many workstations. Using procedural connectivity and an additional GPU code generation optimisation, we can simulate a recent model of the Macaque visual cortex with 4.13 million neurons and 24.2 billion synapses on a single GPU − a significant step forward in making large-scale brain modelling accessible to more researchers.
Item Type: | Article |
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Keywords: | GPU computing, Computational Neuroscience |
Schools and Departments: | School of Engineering and Informatics > Informatics |
Research Centres and Groups: | Centre for Computational Neuroscience and Robotics |
Related URLs: | |
SWORD Depositor: | Mx Elements Account |
Depositing User: | Mx Elements Account |
Date Deposited: | 19 Jan 2021 11:28 |
Last Modified: | 25 Feb 2022 17:19 |
URI: | http://sro.sussex.ac.uk/id/eprint/96570 |
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📧 Request an updateProject Name | Sussex Project Number | Funder | Funder Ref |
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Brains on Board: Neuromorphic Control of Flying Robots | G1980 | EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL | EP/P006094/1 |
HBP SGA3 - Human Brain Project Specific Grant Agreement 3 | G2945 | EUROPEAN UNION | 945539 |
Human Brain Project Specific Grant Agreement 2 — HBP SGA2 | G2410 | EUROPEAN UNION | 785907 |