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NeuroSim / Attribution

None of the science is ours.

NeuroSim depends on scientific work and open-source software produced by other people. This page names all of it and separates what is bundled from what is only cited.

Alsadaany Industries did not create the Drosophila connectome, FlyWire, the hemibrain reconstruction, the published whole-brain model, any of the anatomical characterisations cited here, or any of the scientific software listed below.

What Alsadaany Industries built is the software layer: an engine that implements published equations, circuit generators that instantiate published architectural descriptions, the visualisation, the experiment harness and this website. Citing a paper here is attribution, not affiliation.

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Publications cited

  1. 2024

    Neuronal wiring diagram of an adult brain

    Nature 634:124–138

    The complete adult Drosophila connectome: 139,255 neurons and roughly 54.5 million synapses. Cited as the reference dataset for connectome-scale work and as the target of the data-import path. Its data is not bundled with this site.

  2. 2024

    Whole-brain annotation and multi-connectome cell typing of Drosophila

    Nature 634:139–152

    Cell-type annotation and neurotransmitter assignment across the FlyWire connectome; the basis for treating GABAergic and glutamatergic cells as inhibitory.

  3. 2024

    A Drosophila computational brain model reveals sensorimotor processing

    Nature 634:210–219

    The leaky integrate-and-fire parameterisation used by the NeuroSim engine: −52 mV rest, −45 mV threshold, 20 ms membrane time constant, 5 ms synaptic decay, 2.2 ms refractory period, 1.8 ms propagation delay and 0.275 mV per synapse.

  4. 2013

    Random convergence of olfactory inputs in the Drosophila mushroom body

    Nature 497:113–117

    The random-sampling rule used to wire projection neurons onto Kenyon cells (~6 claws per cell).

  5. 2014

    The neuronal architecture of the mushroom body provides a logic for associative learning

    eLife 3:e04577

    Compartmental organisation of the mushroom body: MBON and DAN counts, and their compartment-matched connectivity.

  6. 2014

    Sparse, decorrelated odour coding in the mushroom body enhances learned odour discrimination

    Nature Neuroscience 17:559–568

    The role of the APL neuron as a global inhibitory feedback loop enforcing sparse Kenyon-cell coding.

  7. 2020

    The connectome of the adult Drosophila mushroom body provides insights into function

    eLife 9:e62576

    Quantitative mushroom-body connectivity used to sanity-check the generated circuit's degree statistics.

  8. 2020

    The neuroanatomical ultrastructure and function of a biological ring attractor

    Neuron 108:145–163

    The E-PG / P-EN / Δ7 wiring of the central-complex ring attractor, including the ±1 wedge offset that rotates the bump.

  9. 2021

    A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection

    eLife 10:e66039

    Central-complex cell types and network motifs underlying the heading-direction circuit.

  10. 2013

    A visual motion detection circuit suggested by Drosophila connectomics

    Nature 500:175–181

    The L1→Mi1/Tm3→T4 ON pathway and the offset-arm structure of the elementary motion detector.

  11. 2017

    The comprehensive connectome of a neural substrate for 'ON' motion detection in Drosophila

    eLife 6:e24394

    Comprehensive ON-pathway connectivity, including CT1's role in null-direction suppression.

  12. 2019

    Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain

    eLife 8:e40025

    The L2→Tm1/Tm2→T5 OFF pathway and its symmetry with the ON pathway.

  13. 2020

    A connectome and analysis of the adult Drosophila central brain

    eLife 9:e57443

    The hemibrain connectome; a second independent source for the circuit statistics used here.

  14. 2025

    Whole-body physics simulation of fruit fly locomotion

    Nature

    Reference for embodied fly simulation. NeuroSim's browser agent is a far simpler kinematic model and does not use this work's body model or code.

  15. 2019

    Brian 2, an intuitive and efficient neural simulator

    eLife 8:e47314

    The simulator in which the reference Drosophila LIF model was written. NeuroSim implements the same equations natively for the browser; it does not run or embed Brian 2.

  16. 2018

    GPU outperforms current HPC and neuromorphic solutions in terms of speed and energy when simulating a highly-connected cortical model

    Frontiers in Neuroscience 12:941

    GeNN's approach to GPU spiking simulation, which informed the structure of the NeuroSim WebGPU kernel.

If an attribution is incomplete, a licence is stated incorrectly, or your work is represented in a way you disagree with, write to contact@alsadaany.com. Attribution corrections are treated as higher priority than feature work.