Efficient hardware implementation of the subthalamic nucleus-external globus pallidus oscillation system and its dynamics investigation.

摘要: Abstract Modeling and implementation of the nonlinear neural system with physiologically plausible dynamic behaviors are considerably meaningful in field computational neuroscience. This study introduces a novel hardware platform to investigate dynamical within subthalamic nucleus–external globus pallidus system. In order reduce complexities, hardware-oriented conductance-based nucleus (STN) model is presented, which can reproduce accurately characteristics biological STN cells. The accuracy presented design ensured by investigation properties including bifurcation analysis phase portraits. Hardware on field-programmable gate array (FPGA) demonstrates that proposed digital mimic relevant higher performance, means resource cost cut down efficiency improved introducing multiplier-less techniques “shift MUL” approach piecewise linear approximation. central pattern generator (CPG) coupled also investigated, be applied as an embedded intelligent neuro-robotic engineering.