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

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...

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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 other hand, the software simulation is more focused on the calculation of the membrane potential of neurons in the network, which cannot well show the role of synapses in the symptoms of neurological diseases; moreover, There are non-real-time problems in the process of software simulation

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