A modified synapse model for neuromorphic circuits

Nowadays, biological neural system modeling is extending to higher levels which have made it feasible to accomplish a better understanding of the brain behavior. In this regard, neurons, have been center of attention in terms of analysis and modeling. Synapses, on the other hand, are one of the most critical components in the central nervous system, which provide basis for the communication between neurons and are known as a main contributor to the system neuroplasticity. In this paper, we present a modified model for synaptic transmission (NMDA receptor) which is suitable for efficient simulations and also circuit implementations. To test integrity and validation of the simplified model, simulations results are presented. This model can be used for digital and/or analog implementations in large-scale biological neural system simulations. This approach provides advantage of higher speed and lower implementation costs yet demonstrating similar dynamic behaviors.