ArticleThe Journal of comparative neurology2013
Neural systems language: a formal modeling language for the systematic description, unambiguous communication, and automated digital curation of neural connectivity.
Article in The Journal of comparative neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Intrinsic neuronal network organization of a mammalian peripheral nervous system.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Chemoarchitectural studies of the rat hypothalamus and zona incerta.bioRxiv : the preprint server for biology · 2025Article
- The intrinsic neuronal network of the central nervous system and its modular (subsystem) architecture in a mammal.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Neural network architecture of a mammalian brain.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Network architecture of intrinsic connectivity in a mammalian spinal cord (the central nervous system's caudal sector).Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Intrinsic circuitry of the rhombicbrain (central nervous system's intermediate sector) in a mammal.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Structure-function subsystem model and computational lesions of the central nervous system's rostral sector (forebrain and midbrain).Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Subsystem macroarchitecture of the intrinsic midbrain neural network and its tectal and tegmental subnetworks.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Structure-function subsystem models of female and male forebrain networks integrating cognition, affect, behavior, and bodily functions.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The network organization of rat intrathalamic macroconnections and a comparison with other forebrain divisions.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Cognitive and Non-Cognitive Outcomes Associated with Student Engagement in a Novel Brain Chemoarchitecture Mapping Course-Based Undergraduate Research Experience.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2019Article
- Subsystem organization of axonal connections within and between the right and left cerebral cortex and cerebral nuclei (endbrain).Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Organizing principles for the cerebral cortex network of commissural and association connections.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Network architecture of the cerebral nuclei (basal ganglia) association and commissural connectome.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Architecture of the cerebral cortical association connectome underlying cognition.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Golgi: Interactive Online Brain Mapping.Frontiers in neuroinformatics · 2015Article
- Connections of the juxtaventromedial region of the lateral hypothalamic area in the male rat.Frontiers in systems neuroscience · 2015Article
- Controlling feeding behavior by chemical or gene-directed targeting in the brain: what's so spatial about our methods?Frontiers in neuroscience · 2013Review
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2 authors.
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Abstract
Systematic description and the unambiguous communication of findings and models remain among the unresolved fundamental challenges in systems neuroscience. No common descriptive frameworks exist to describe systematically the connective architecture of the nervous system, even at the grossest level of observation. Furthermore, the accelerating volume of novel data generated on neural connectivity outpaces the rate at which this data is curated into neuroinformatics databases to synthesize digitally systems-level insights from disjointed reports and observations. To help address these challenges, we propose the Neural Systems Language (NSyL). NSyL is a modeling language to be used by investigators to encode and communicate systematically reports of neural connectivity from neuroanatomy and brain imaging. NSyL engenders systematic description and communication of connectivity irrespective of the animal taxon described, experimental or observational technique implemented, or nomenclature referenced. As a language, NSyL is internally consistent, concise, and comprehensible to both humans and computers. NSyL is a promising development for systematizing the representation of neural architecture, effectively managing the increasing volume of data on neural connectivity and streamlining systems neuroscience research. Here we present similar precedent systems, how NSyL extends existing frameworks, and the reasoning behind NSyL's development. We explore NSyL's potential for balancing robustness and consistency in representation by encoding previously reported assertions of connectivity from the literature as examples. Finally, we propose and discuss the implications of a framework for how NSyL will be digitally implemented in the future to streamline curation of experimental results and bridge the gaps among anatomists, imagers, and neuroinformatics databases.
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