FPGA Implementation of a Hodgkin-Huxley Neural Network

Developing a hardware-accelerated neural network on a Tang Nano 20K FPGA to simulate Hodgkin-Huxley dynamics for 20 biologically plausible neurons with AMPA/GABAA synaptic interactions.

• Implementing modular Verilog architecture utilizing the CORDIC algorithm and resource sharing for optimized parallel processing.
• Validation of behavioral accuracy conducted against a Brian2 golden model.
• Optimized for real-time simulation of neurophysical dynamics.