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Using neuromorphic computing in prediction of GABA concentration – a pilot study Cover

Using neuromorphic computing in prediction of GABA concentration – a pilot study

Journal of Electrical Bioimpedance
Volume 16 (2025): Issue 1 (January 2025)
By: Jie Hou,  Abdulkadir Hassen Ali and  Ørjan G. Martinsen  
Open Access
|Dec 2025

Figures & Tables

Figure 1:

The learning behavior of the Quantized CNN model. From [12].
The learning behavior of the Quantized CNN model. From [12].

Figure 2:

Quantized CNN training and testing prediction compared to the true values. From [12].
Quantized CNN training and testing prediction compared to the true values. From [12].

Model performance on test data_

Model TypeMin MAEMin MSEMin MAPER2Epochs
ANN0.81582.88701.14860.99731000
CNN (2D)0.85591.37760.98220.99981000
Quantized CNN1.476810.97711.88200.99621000
CNN2SNN49.4009N/AN/A−0.6259N/A
DOI: https://doi.org/10.2478/joeb-2025-0019 | Journal eISSN: 1891-5469
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Language: English
Page range: 146 - 149
Submitted on: Dec 2, 2025
|
Published on: Dec 29, 2025
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Neuromorphic computing,
GABA,
permittivity
Related subjects:
Engineering,
Bioengineering and biomedical engineering,
Biomedical electronics,
Life sciences,
Biophysics,
Medicine,
Biomedical engineering,
Physics,
Spectroscopy and metrology

© 2025 Jie Hou, Abdulkadir Hassen Ali, Ørjan G. Martinsen, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.

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