Small World Neural Network Based on FPGA

Abstract

Abstract. Statistical analysis results have shown that small-world characteristics are widespread in the cerebral cortex neuron network, which has long been proven an effective method to investigate the brain anatomy and functions. From the perspective of hardware, we built the FHN neural network model with small-world connectivity using FPGA （Field Programmable Gate Array） . As a result, we observe the properties of neuron membrane potential are in line with the small-world characteristic of FHN neuron network model when impressed sinusoidal current with different frequencies. By the aforementioned rules, this paper demonstrates the effectiveness, and may underlie the construction of cerebral cortex network in the future.