FPGA-based multi-electrode array simulation experiment platform

A multi-electrode array and simulation experiment technology, which is applied in the field of multi-electrode array simulation experiment platform, can solve problems such as low application value, imperfect man-machine interface, and difficult operation and analysis of FPGA hardware neuron network, so as to improve operability, Improved flexibility, ease of data processing and analysis

Inactive Publication Date: 2016-08-10
TIANJIN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The existing technology is still in the basic stage, and there are still the following shortcomings: there is no FPGA-based multi-electrode array simulation experiment platform, the...

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  • FPGA-based multi-electrode array simulation experiment platform
  • FPGA-based multi-electrode array simulation experiment platform
  • FPGA-based multi-electrode array simulation experiment platform

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Embodiment Construction

[0022] The structure of the FPGA-based multi-electrode array simulation experiment platform of the present invention will be described below in conjunction with the accompanying drawings.

[0023] The design idea of ​​the FPGA-based multi-electrode array simulation experiment platform of the present invention is to first set up the STN neuron network model on the FPGA; then design and realize the multi-electrode array algorithm on the FPGA, and have an external current stimulation independent of the neuron network model Apply it to the model, change the discharge mode of the STN neuron network through stimulation, detect and analyze the output signals of the multi-electrode array under different discharge modes; finally design the software interface of the host computer, the software interface of the host computer can set parameters and transmit them through the input data bus to FPGA realizes the configuration of the initial state of the network, model parameters and coupling ...

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Abstract

The invention provides an FPGA-based multi-electrode array simulation experiment platform. The experiment platform comprises an FPGA development board and a principal computer which are connected with each other via a USB interface. The FPGA development board is used for implementing an STN neuron network model and a multi-electrode array algorithm. The software interface of the principal computer is designed based on LabVIEW, and the principal computer communicates with the FPGA development board. With the FPGA neural network experiment platform which is taken as a biological neuron network, free of animal experiment and based on high-speed operation, synchronous record of multiple sites of the field potential of a neuron network through a multi-electrode array is realized, and the consistency with real biological neurons in time scale can be ensured. A visual study platform closer to a real neural network is provided for the study of the discharge mechanism of a sub-thalamic nucleus STN nuclei and the study of a multi-electrode array. The platform is of important practical value to the study and treatment of a variety of neurological diseases including the Parkinson's disease.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to an FPGA-based multi-electrode array simulation experiment platform. Background technique [0002] With the development of economy and society, the problem of population aging is becoming more and more serious, and the incidence of mental diseases such as Parkinson's disease, Alzheimer's disease, and epilepsy is increasing. However, the current auxiliary treatment technology is still very limited. Further detection and observation of the response behavior of the nervous system will help people to further understand the function of the nervous system, and further understand the pathogenesis of various neurological diseases, which is of great significance to the diagnosis and treatment of neurological diseases. Multi-electrode arrays are widely used in basic biology and research because of their non-invasive long-term, multi-site detection and recording of the firing activities o...

Claims

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Application Information

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IPC IPC(8): G09B23/18G09B23/28
CPCG09B23/18G09B23/28
Inventor 王江陈琦杨双鸣邓斌魏熙乐张镇李会艳
Owner TIANJIN UNIV
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