Embedded modular nerve nucleus simulation platform based on ARM (Advanced RISC Machines)

A technology of neural nucleus and simulation platform, applied in the field of biomedical engineering, can solve the problems of unable to display synaptic function well, wasting time, non-real-time, etc., achieve low power consumption, high computing efficiency, reduce data The effect of transmitted pressure

Pending Publication Date: 2022-07-29
TIANJIN UNIV
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Problems solved by technology

This method has great limitations. On the one hand, the BG-TH network includes four nuclei of STN, GPi, GPe, and TH. For patients with different diseases, the number of neurons and different performances and needs of different nuclei reconfiguration, which will waste a lot of time; on the

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  • Embedded modular nerve nucleus simulation platform based on ARM (Advanced RISC Machines)
  • Embedded modular nerve nucleus simulation platform based on ARM (Advanced RISC Machines)
  • Embedded modular nerve nucleus simulation platform based on ARM (Advanced RISC Machines)

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Embodiment Construction

[0021] The present invention will be further described in detail below with reference to the accompanying drawings.

[0022] The present invention is an embedded modular neural nucleus simulation platform for BG-TH network simulation, with reference to the appendix. figure 1 , the system includes four parts: neuron discharge characteristic module, synaptic data transmission module, micro-relay array and host computer debugging software. Among them, the neuron module is built with the ARM-based STM32F407ZGT6 chip, the synapse module is realized by designing the circuit around the chip, and the micro-relay array is used to realize the power supply strategy for the embedded processor. The whole system adopts the decentralized multi-core design concept, so as to realize the real-time simulation of large-scale neural network.

[0023] Neuron firing characteristic module for BG-TH network: refer to appendix figure 2 , this module includes several neuron cell body computing units,...

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Abstract

The invention relates to an ARM-based embedded modular neural nucleus simulation platform, which can simulate a BG-TH network in real time through a neuron discharge characteristic module, a synaptic data transmission module, a miniature relay array, a modular assembly mode and upper computer debugging software, supports real-time adjustment, expansion and cutting of the network, and can simulate the BG-TH network in real time. And simulation of the BG-TH network in various intervention modes can be realized through an upper computer or by applying external stimulation. The development time of simulation of different nervous system disease states is greatly shortened, the essence of lesion and degeneration of the BG-TH network is further revealed on the level of neurons and synapses, and the BG-TH network is kept consistent with a real biological network on the time scale. The method is of great significance for exploring various nervous system diseases and related treatment schemes thereof.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to an ARM-based embedded modular nerve nucleus simulation platform. Background technique [0002] If we can monitor and analyze the dynamic process of the nervous system to achieve the purpose of understanding related diseases, we can better achieve "prescribe the right medicine". Compared with other systems, the ARM-based solution has extremely high performance per chip area, which can well realize the modular nervous system simulation process. [0003] The basal ganglia (BG) is located near the thalamus, and its function is closely related to somatic movement and is involved in the formation of delicate movements. It is mainly composed of three parts: the sub-thalamic nucleus (STN), the internal segment of the globus pallidus (GPi) and the external segment of the globus pallidus (GPe). The thalamus (TH) together constitutes the basal ganglia-thalamic (BG-TH) network. Neurode...

Claims

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Application Information

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IPC IPC(8): G06N3/063G06N3/06G06N3/04G06N3/08
CPCG06N3/061G06N3/082G06N3/065G06N3/045
Inventor 王江巩博魏熙乐邓斌焦立峰徐晋达
Owner TIANJIN UNIV
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