Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core

摘要

A FPGA hardware core has been designed for real-time network simulations with up to 400 physiologically realistic, conductance-based neurons of the Hodgkin-Huxley type. A PC-FPGA interface allows easy parameter adjustment and on-line display of basic synchronization measures like field potentials, spike times or color-coded voltages of the complete array. Simulations of 20-20 gap-junction coupled 4-dimensional neurons reveal remarkable alterations of the synchronization states and impulse patterns during linearly increasing coupling strengths.