FPGA simulation system for modulating hippocampus network rhythm through weak electromagnetic stimulation

Abstract

The invention provides an FPGA simulation system for modulating a hippocampus network rhythm through weak electromagnetic stimulation. The simulation system comprises an FPGA-based hardware circuit, a random waveform generator, an analog-digital converter and a man-machine operation interface, a neuron model and a control module adopt a Verilog HDL for compiling and are compiled and downloaded to an FPGA, a synaptic current calculation module, a carbachol equivalent current calculation module, an external electric field equivalent current calculation module and a local field potential calculation module adopt the DSP Builder programming for implementation, and an upper computer operation interface adopts the LabVIEW programming for implementation and is in communication with the FPGA. The system has the advantages of being used as a non-animal testing and high-speed-computation-based FPGA neural network testing platform of the biological neural network to achieve hardware modeling of the hippocampus CA3 area, and being coincident with a real biological neural network on the time scale.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to an FPGA simulation system for modulating hippocampal network rhythm by weak electromagnetic stimulation. Background technique [0002] Studies have shown that hippocampal rhythm is closely related to cognitive behaviors such as learning and memory in mammals. Abnormal brain rhythms are related to neuropsychiatric disorders, such as abnormal theta rhythms in patients with Parkinson's tremor; abnormal beta rhythms in epilepsy patients; early cognitive decline in patients with Alzheimer's disease and Behavioral disinhibition is rooted in the abnormal electrical activity of the hippocampal neuron network. In recent years, animal and clinical experiments have proved that electromagnetic stimulation has an important effect on the treatment of cognitive system diseases. Transcranial electrical stimulation (Transcranial Electrical Stimulation, referred to as TES) based on weak curren...

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 FPGA simulation system based on FPGA with complete functions for modulating hippocampal network rhythm by weak electromagnetic stimulation; Not high; the human-machine interface is not yet perfect, and real-time control operations and data analysis cannot be performed, so it is difficult to analyze the operation and analysis of the FPGA hardware neuron network

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