Simultaneous discharge simulation platform of izhikevich neuron network based on fpga

Abstract

The invention provides a FPGA-based Izhikevich neuron network synchronous discharge simulation platform, the simulation platform includes an interconnected FPGA neuron network computing processor and a host computer, wherein the FPGA neuron network computing processor includes an FPGA chip, a chip External memory array, Ethernet communication module, FPGA chip receives the host computer control signal output by the off-chip memory array, and receives the presynaptic membrane potential signal output by the off-chip memory array; the host computer realizes the man-machine operation interface through VB programming and The Ethernet communication module communicates with the FPGA chip and the off-chip memory array, and the neural network model is built on the FPGA chip through Verilog HDL language programming. The beneficial effect is that as an animal-free experiment of biological neural network, an FPGA neural network experimental platform based on high-speed computing, it realizes the hardware modeling of phenomenological and physiological neuron models, and can achieve the same time scale as the real biological neural network. element of agreement.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to an FPGA-based Izhikevich neuron network synchronous discharge simulation platform. Background technique [0002] There are about 100 billion neurons in the brain, and each neuron communicates with other 100 billion neurons through synapses. Neurons form a variety of functionally specific neural circuits, through various neurotransmitters and their receptors. The body transmits information and produces advanced functions of the brain. The processing of neural information by the brain is completed through the cooperation of neurons in different brain regions, and synchronization, as a typical manifestation of the discharge activity of neuron clusters, is an important mechanism of neural information processing. Synchronous activity between neurons plays a key role in the transmission and processing of neural information in different brain regions, which can integrate and coordin...

AI Technical Summary

Problems solved by technology

[0005] The existing technology is still in the basic stage, so there are still the following disadvantages: there is no dedicated FPGA experiment platform for synchronous simulation of neuron networks; the hardware simulation neuron network model implemented by FPGA is small in scale, invariable in scale, and poor in network connection flexibility; The human-machine interface is not yet perfect, and real-time control operation and data analysis cannot be performed, so it is difficult to analyze the dynamic characteristics of the neural network with FPGA

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