ArticleFrontiers in neuroinformatics2010
Visualizing neuronal network connectivity with connectivity pattern tables.
Article in Frontiers in neuroinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Connectivity concepts in neuronal network modeling.PLoS computational biology · 2022Review
- Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on "Frontiers in Neuroinformatics".Frontiers in neuroinformatics · 2022Review
- NeuroVis: Real-Time Neural Information Measurement and Visualization of Embodied Neural Systems.Frontiers in neural circuits · 2021Article
- SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies.Frontiers in neuroinformatics · 2021Article
- ConGen-A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks.Frontiers in neuroinformatics · 2021Article
- VIOLA-A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output.Frontiers in neuroinformatics · 2018Article
- Article
- Neural Schematics as a unified formal graphical representation of large-scale Neural Network Structures.Frontiers in neuroinformatics · 2013Article
- A federated design for a neurobiological simulation engine: the CBI federated software architecture.PloS one · 2012Article
- Python as a federation tool for GENESIS 3.0.PloS one · 2012Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complex ideas are best conveyed through well-designed illustrations. Up to now, computational neuroscientists have mostly relied on box-and-arrow diagrams of even complex neuronal networks, often using ad hoc notations with conflicting use of symbols from paper to paper. This significantly impedes the communication of ideas in neuronal network modeling. We present here Connectivity Pattern Tables (CPTs) as a clutter-free visualization of connectivity in large neuronal networks containing two-dimensional populations of neurons. CPTs can be generated automatically from the same script code used to create the actual network in the NEST simulator. Through aggregation, CPTs can be viewed at different levels, providing either full detail or summary information. We also provide the open source ConnPlotter tool as a means to create connectivity pattern tables.
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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.