VLSI implementable neuron-astrocyte control mechanism

This paper presents a set of equation as a model to describe the mechanisms of neural glial interactions which are implementable on digital platforms. The proposed model can be utilized in large scale VLSI implementation of the biological neural networks, i.e. neuromorphic systems. Simulation results show that the model can precisely reproduce different behavior of neural glial interactions. The proposed model is investigated in terms of digital implementation feasibility and costs while targeting low-cost hardware realization. Hardware synthesis and physical realization on FPGA shows that the proposed model can reproduce different pathway behavior in neural glial mechanisms with higher performance and lower implementation cost compared with the original model.