Design and Implementation of Neural Correlation Analysis Based on FPGA

Implementing the design of neural correlation analysis using Verilog HDL and Xilinx ISE platform. Firstly, introduce the theory and software implementation method of neural correlation analysis. And then design the main module of the correlation analysis. Finally, do the functional simulation and timing simulation using ModelSim, synthesize and implement the design based on ISE platform. Only 7% logic resources are consumed of the FPGA device xcSvlx220-2ff1760. The maximum frequency can reach 240MHz. It only needs 48 clocks to implement the correlation analysis between two neurons that is 200ns. 64 channels need 4ms. However, if use the software method, it needs some seconds at least. So, it can realize the real time neural correlation analysis.