Galvani

Galvani is a 128 channel uLED stimulator board with precise and independent channel waveform control.

Windows Binaries

Windows binaries are available for download at https://github.com/YoonGroupUmich/galvani/releases . NI-DAQmx is required to run the program. The FPGA needs to be programmed before connected via the GUI

Source organization

In the root directory is the python GUI for stimulation. The actual stimulation control code is in C, and the project is in libgalvani/. The hardware verilog for the FPGA is in hardware/. The stimulation and recording hardware verilog are in hardware/stim/ and hardware/rec/ respectively. The recording tool is in Galvani/.

Build from source

To build and run from source,

• Install Python (On Windows, use the 32-bit version, as NI only provides 32-bit library)
• Install python dependencies: python -m pip install cffi matplotlib numpy wxpython
• Clone the project: git clone https://github.com/YoonGroupUmich/galvani.git
• Open hardware/Galvani_stim_rec.qpf in Quartus. Compile the project and program the FPGA.
• Open libgalvani/NI-helloworld.sln in Visual Studio. Select "Release x86" target and build the project.
  • Alternatively, you can also build a shared object using any compiler toolchain, from libgalvani/NI-helloworld/galvani-ni.h and libgalvani/NI-helloworld/main.cpp
• Run make_dist.bat
  • If you are not using Visual Studio in the previous step, or you are not on Windows, you need to manually modify the compiled library path in galvani_cffi_build.py and run it.
• Run python galgui.py
  • Or the galgui executable in dist/galgui