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https://github.com/thennen/synaptogen

A fast generative model for stochastic memory cells
https://github.com/thennen/synaptogen

circuit-simulation emerging-technology gpu julia machine-learning modeling neuromorphic-hardware reram simulation verilog-a

Last synced: 3 months ago
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A fast generative model for stochastic memory cells

Host: GitHub
URL: https://github.com/thennen/synaptogen
Owner: thennen
License: mit
Created: 2023-03-26T07:46:12.000Z (almost 2 years ago)
Default Branch: master
Last Pushed: 2024-10-09T18:15:31.000Z (4 months ago)
Last Synced: 2024-11-24T20:12:55.104Z (3 months ago)
Topics: circuit-simulation, emerging-technology, gpu, julia, machine-learning, modeling, neuromorphic-hardware, reram, simulation, verilog-a
Language: Julia
Homepage:
Size: 395 KB
Stars: 3
Watchers: 3
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

        


  

    


    Synaptogen

  



[![DOI](https://zenodo.org/badge/619079250.svg)](https://zenodo.org/doi/10.5281/zenodo.10942560)

This is a fast generative model for stochastic memory cells.  It helps determine how real-world devices would perform in large-scale circuits, for example when used as resistive weights in a neuromorphic system.

The model is trained on measurement data and closely replicates

- cross-correlations and history dependence of switching parameters

- cycle-to-cycle and device-to-device distributions

- multi-level resistance states

- resistance non-linearity

It is currently implemented in

- Julia for machine learning and general purpose programming ([Synaptogen.jl](Synaptogen.jl))

- Python (NumPy) ([Synaptogen.py](Synaptogen.py))

- Verilog-A for circuit-level simulations ([Synaptogen.va](Synaptogen.va))

You can check the respective subdirectories for instructions and examples.

## Publications

You can learn more about the model in the following publications:

[*A high throughput generative vector autoregression model for stochastic synapses*](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2022.941753/full)

[*Synaptogen: A cross-domain generative device model for large-scale neuromorphic circuit design*](https://doi.org/10.1109/TED.2024.3427616)

## Code authors

- Tyler Hennen (Synaptogen.jl & Synaptogen.py)

- Leon Brackmann (Synaptogen.va)