Design of High Performance Physiologically-Complex Motoneuron Models in FPGAs

Physiologically realistic models of motoneurons are often simulated using traditional software modeling tools, with suboptimal performance. This paper describes the successful implementation of a multi-compartment motoneuron model demonstrating plateau potentials on a field programmable gate array (FPGA). Simulation performance exceeds 4times real-time, an over 12times improvement over a software simulation. This demonstrates the capability of FPGAs in executing complex dynamical systems with high throughput