From e2b30976cdaccf9d2b9820fefa22ced03c82711f Mon Sep 17 00:00:00 2001 From: Tanner Robison Date: Mon, 6 Jul 2026 10:35:32 -0700 Subject: readout layer trained verified with time-series forecasting task and plotted --- src/README.md | 36 ++++++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 src/README.md (limited to 'src/README.md') diff --git a/src/README.md b/src/README.md new file mode 100644 index 0000000..0d58f19 --- /dev/null +++ b/src/README.md @@ -0,0 +1,36 @@ +# Spires reservoir simulated on memristor crossbar using memTorch +## setup +### general +python3 -m .venv venv + +pip install -r requirements.txt + +### memTorch + +git clone --recursive https://github.com/coreylammie/MemTorch + +cd memTorch + +python setup.py install + +### spires + + +## overview +### simulation +Here we are using both memTorch and the Spiresrc libraries working together to simulate +a spires reservoir on a memristor crossbar. memTorch is acting as the weights, simulating +at a physics level including device to device differences, conductance drag, etc.... +Spires is acting as the actual reservoir neurons and determining the spikes. + +### benchmark + +## Goal +The goal is to able to simulate a spires reservoir on a memristor crossbar using +a custom memristor spice model(HIL), thus you can run the same simulation with +multiple models to compare how each performs using benchmark results. + +## task + +## metrics + -- cgit v1.2.3