ArticlePloS one2016
Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Theoretical perspective on synthetic man-made life: Learning from the origin of life.Quantitative biology (Beijing, China) · 2023Review
- A Programmable Ontology Encompassing the Functional Logic of theFrontiers in neuroinformatics · 2022Article
- Article
- PyGeNN: A Python Library for GPU-Enhanced Neural Networks.Frontiers in neuroinformatics · 2021Article
- A molecular odorant transduction model and the complexity of spatio-temporal encoding in the Drosophila antenna.PLoS computational biology · 2020Article
- New techniques, applications and perspectives in neuropeptide research.The Journal of experimental biology · 2018Review
- A Single-Cell Level and Connectome-Derived Computational Model of theFrontiers in neuroinformatics · 2018Article
- Code Generation in Computational Neuroscience: A Review of Tools and Techniques.Frontiers in neuroinformatics · 2018Review
- Integrative biological simulation praxis: Considerations from physics, philosophy, and data/model curation practices.Cellular logistics · 2017Article
- Generating Executable Models of the Drosophila Central Complex.Frontiers in behavioral neuroscience · 2017Article
- Toward Whole-Body Connectomics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have developed an open software platform called Neurokernel for collaborative development of comprehensive models of the brain of the fruit fly Drosophila melanogaster and their execution and testing on multiple Graphics Processing Units (GPUs). Neurokernel provides a programming model that capitalizes upon the structural organization of the fly brain into a fixed number of functional modules to distinguish between these modules' local information processing capabilities and the connectivity patterns that link them. By defining mandatory communication interfaces that specify how data is transmitted between models of each of these modules regardless of their internal design, Neurokernel explicitly enables multiple researchers to collaboratively model the fruit fly's entire brain by integration of their independently developed models of its constituent processing units. We demonstrate the power of Neurokernel's model integration by combining independently developed models of the retina and lamina neuropils in the fly's visual system and by demonstrating their neuroinformation processing capability. We also illustrate Neurokernel's ability to take advantage of direct GPU-to-GPU data transfers with benchmarks that demonstrate scaling of Neurokernel's communication performance both over the number of interface ports exposed by an emulation's constituent modules and the total number of modules comprised by an emulation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.