On the public citation graph

The SONATA Data Format for Efficient Description of Large-Scale Network Models

https://doi.org/10.1101/625491
0 signed · 56 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-58667-0_10openalex-snapshot
Neuromapp: A Mini-application Framework to Improve Neural Simulators
inferredcites →https://doi.org/10.1007/s00422-011-0435-9openalex-snapshot
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
inferredcites →https://doi.org/10.1007/s00429-017-1554-4openalex-snapshot
Multi-scale account of the network structure of macaque visual cortex
inferredcites →https://doi.org/10.1007/s12021-015-9282-5openalex-snapshot
NSDF: Neuroscience Simulation Data Format
inferredcites →https://doi.org/10.1016/j.cell.2015.06.054openalex-snapshot
Saturated Reconstruction of a Volume of Neocortex
inferredcites →https://doi.org/10.1016/j.cell.2015.09.029openalex-snapshot
Reconstruction and Simulation of Neocortical Microcircuitry
inferredcites →https://doi.org/10.1016/j.neuron.2007.03.025openalex-snapshot
neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space
inferredcites →https://doi.org/10.1016/j.neuron.2016.10.019openalex-snapshot
Big Science, Team Science, and Open Science for Neuroscience
inferredcites →https://doi.org/10.1016/j.neuron.2016.10.033openalex-snapshot
To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery
inferredcites →https://doi.org/10.1016/j.neuron.2016.10.035openalex-snapshot
High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination
inferredcites →https://doi.org/10.1016/j.neuron.2016.10.039openalex-snapshot
The BRAIN Initiative: Building, Strengthening, and Sustaining
inferredcites →https://doi.org/10.1016/j.neuron.2016.10.046openalex-snapshot
The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain
inferredcites →https://doi.org/10.1016/j.neuron.2019.03.027openalex-snapshot
The Scientific Case for Brain Simulations
inferredcites →https://doi.org/10.1016/j.neuron.2019.05.019openalex-snapshot
Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits
inferredcites →https://doi.org/10.1016/j.neuron.2020.01.040openalex-snapshot
Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex
inferredcites →https://doi.org/10.1016/s0165-0270(98)00091-0openalex-snapshot
An on-line archive of reconstructed hippocampal neurons
inferredcites →https://doi.org/10.1017/cbo9780511541612openalex-snapshot
The NEURON Book
inferredcites →https://doi.org/10.1038/483397aopenalex-snapshot
Observatories of the mind
inferredcites →https://doi.org/10.1038/533452aopenalex-snapshot
1,500 scientists lift the lid on reproducibility
inferredcites →https://doi.org/10.1038/nature13186openalex-snapshot
A mesoscale connectome of the mouse brain
inferredcites →https://doi.org/10.1038/nature17192openalex-snapshot
Anatomy and function of an excitatory network in the visual cortex
inferredcites →https://doi.org/10.1038/nature24636openalex-snapshot
Fully integrated silicon probes for high-density recording of neural activity
inferredcites →https://doi.org/10.1038/s41467-017-02717-4openalex-snapshot
Generalized leaky integrate-and-fire models classify multiple neuron types
inferredcites →https://doi.org/10.1038/s41467-017-02718-3openalex-snapshot
Systematic generation of biophysically detailed models for diverse cortical neuron types
inferredcites →https://doi.org/10.1038/s41586-018-0654-5openalex-snapshot
Shared and distinct transcriptomic cell types across neocortical areas
inferredcites →https://doi.org/10.1038/s41593-019-0417-0openalex-snapshot
Classification of electrophysiological and morphological neuron types in the mouse visual cortex
inferredcites →https://doi.org/10.1038/s41593-019-0550-9openalex-snapshot
A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex
inferredcites →https://doi.org/10.1038/sdata.2016.44openalex-snapshot
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
inferredcites →https://doi.org/10.1073/pnas.1512901113openalex-snapshot
Inferring cortical function in the mouse visual system through large-scale systems neuroscience
inferredcites →https://doi.org/10.1093/cercor/bhs270openalex-snapshot
A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex
inferredcites →https://doi.org/10.1101/523035openalex-snapshot
NWB:N 2.0: An Accessible Data Standard for Neurophysiology
inferredcites →https://doi.org/10.1126/science.aac9462openalex-snapshot
Principles of connectivity among morphologically defined cell types in adult neocortex
inferredcites →https://doi.org/10.1126/scitranslmed.aaf5027openalex-snapshot
What does research reproducibility mean?
inferredcites →https://doi.org/10.1371/journal.pcbi.1000815openalex-snapshot
NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail
inferredcites →https://doi.org/10.1371/journal.pcbi.1005045openalex-snapshot
The Computational Properties of a Simplified Cortical Column Model
inferredcites →https://doi.org/10.1371/journal.pcbi.1006535openalex-snapshot
Visual physiology of the layer 4 cortical circuit in silico
inferredcites →https://doi.org/10.1371/journal.pone.0201630openalex-snapshot
BioNet: A Python interface to NEURON for modeling large-scale networks
inferredcites →https://doi.org/10.3389/fninf.2014.00079openalex-snapshot
LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2
inferredcites →https://doi.org/10.3389/fninf.2018.00087openalex-snapshot
Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching
inferredcites →https://doi.org/10.3389/fnins.2018.00816openalex-snapshot
sPyNNaker: A Software Package for Running PyNN Simulations on SpiNNaker
inferredcites →https://doi.org/10.3389/neuro.11.005.2008openalex-snapshot
Brian: a simulator for spiking neural networks in Python
inferredcites →https://doi.org/10.3389/neuro.11.006.2008openalex-snapshot
PyMOOSE: Interoperable scripting in Python for MOOSE
inferredcites →https://doi.org/10.3389/neuro.11.011.2008openalex-snapshot
PyNN: a common interface for neuronal network simulators
inferredcites →https://doi.org/10.4249/scholarpedia.1430openalex-snapshot
NEST (NEural Simulation Tool)
inferredcites →https://doi.org/10.7554/elife.18566openalex-snapshot
Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit
inferredcites →https://doi.org/10.7554/elife.44494openalex-snapshot
NetPyNE, a tool for data-driven multiscale modeling of brain circuits

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-82427-3_5openalex-snapshot
Modular Supercomputing for Neuroscience
inferred← citeshttps://doi.org/10.1016/j.celrep.2023.112574openalex-snapshot
Multiscale Model of Primary Motor Cortex Circuits Predicts in vivo Cell Type-Specific, Behavioral State-Dependent Dynamics
inferred← citeshttps://doi.org/10.1016/j.neuron.2019.05.019openalex-snapshot
Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits
inferred← citeshttps://doi.org/10.1073/pnas.2000671117openalex-snapshot
The microcircuits of striatum in silico
inferred← citeshttps://doi.org/10.1101/201707openalex-snapshot
Multiscale dynamics and information flow in a data-driven model of the primary motor cortex microcircuit
inferred← citeshttps://doi.org/10.1101/2020.04.21.051268openalex-snapshot
Modeling robust and efficient coding in the mouse primary visual cortex using computational perturbations
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008114openalex-snapshot
HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1010086openalex-snapshot
Connectivity concepts in neuronal network modeling
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1013023openalex-snapshot
BlueRecording: A pipeline for the efficient calculation of extracellular recordings in large-scale neural circuit models
inferred← citeshttps://doi.org/10.1371/journal.pone.0201630openalex-snapshot
BioNet: A Python interface to NEURON for modeling large-scale networks
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.