Paper
10 October 2023 Identification modeling of neural network activity under stimulation
Wenjie Si, Xiao Fang
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127993R (2023) https://doi.org/10.1117/12.3006677
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
Identification of basal ganglia (BG) network plays an important role in the construction of closed-loop deep brain stimulation (DBS) system. This work proposes an identification algorithm based on pseudo-random binary sequence (PRBS) and recurrent radial basis function neural network (RRBFNN) for basal ganglia network modeling. The PRBS modulated DBS signal is taken as the input signal of BG network. Then, the relationship of input DBS signal and beta power of BG network is modeled by a RRBFNN. The numerical experiments show that the PRBS modulated DBS signal meet the requirements of BG network identification. What’s more, the results indicate that the proposed RRBFNN can effectively identify the dynamics of BG network.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wenjie Si and Xiao Fang "Identification modeling of neural network activity under stimulation", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127993R (10 October 2023); https://doi.org/10.1117/12.3006677
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KEYWORDS
Neurons

Gemini Planet Imager

Calcium

Neural networks

Basal ganglia

Modeling

Modulation

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