Everything about NeuroML

🧭 Start here: a 6-step reading path

1. Read the overview: NeuroMLA 5-minute orientation
2. Skim a recent paper: NeuroML - Brain Tumor Classification using Machine Learning and Deep LearningInfluential work since 2022
3. Read the landmark paper: NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological DetailCited 296 times
4. Go sideways: Angus SilverA closely related topic
5. Go sideways: NeuromorphologyA closely related topic

🏆 Landmark papers (most cited)

• NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail

  Padraig Gleeson, Sharon Crook, Robert C. Cannon · 2010 · PLoS Computational Biology · 296 citations

• LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2

  Robert C. Cannon, Padraig Gleeson, Sharon Crook · 2014 · Frontiers in Neuroinformatics · 108 citations

• Towards NeuroML: Model Description Methods for Collaborative Modelling in Neuroscience

  Nigel H. Goddard, Michael Hucka, Fred Howell · 2001 · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · 103 citations

• MorphML: Level 1 of the NeuroML Standards for Neuronal Morphology Data and Model Specification

  Sharon Crook, Padraig Gleeson, Fred Howell · 2007 · Neuroinformatics · 62 citations

• NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML

  Justas Birgiolas, Vergil Haynes, Padraig Gleeson · 2023 · PLOS Computational Biology · 21 citations

• EDEN: A High-Performance, General-Purpose, NeuroML-Based Neural Simulator

  Sotirios Panagiotou, Harry Sidiropoulos, Dimitrios Soudris · 2022 · Frontiers in Neuroinformatics · 18 citations

• The NeuroML ecosystem for standardized multi-scale modeling in neuroscience

  Ankur Sinha, Padraig Gleeson, Bóris Marin · 2025 · eLife · 4 citations

• NeuroML for plug and play neuronal modeling

  N.H Goddard, D Beeman, R Cannon · 2002 · Neurocomputing · 3 citations

🆕 Influential since 2022

• NeuroML - Brain Tumor Classification using Machine Learning and Deep Learning

  Somesh Jade, Sumit Shende, Shreyas Shinde · 2023 · International Journal of Advanced Research in Science, Communication and Technology · 0 citations

📚 Books worth reading

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🔗 Related topics

• Angus Silver Robin Angus Silver is an English neuroscientist who is professor of neuroscience and a Wellcome Trust Principal Research Fellow at University College London…
• Neuromorphology Neuromorphology (from Greek νεῦρον, neuron, "nerve"; μορφή, morphé, "form"; -λογία, -logia, “study of”) is the study of nervous system form, shape, and…
• List of XML markup languages This is a list of notable XML markup languages. Contents: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z AdsML Markup language used for interchange…
• GENESIS (software) GENESIS (The General Neural Simulation System) is a simulation environment for constructing realistic models of neurobiological systems at many levels…
• Nervous system network models The network of the human nervous system is composed of nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity…
• Blue Brain Project The Blue Brain Project was a Swiss brain research initiative that aimed to create a digital reconstruction of the mouse brain. The project was founded…
• Outline of brain mapping The following outline is provided as an overview of and topical guide to brain mapping: Brain mapping – set of neuroscience techniques predicated on the…
• Computational neuroscience Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics…