Skip to main content

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

.blurhash-client-img { display: none !important; }

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

Figures & Tables

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

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

Model performance on test data_

Model Type	Min MAE	Min MSE	Min MAPE	R²	Epochs
ANN	0.8158	2.8870	1.1486	0.9973	1000
CNN (2D)	0.8559	1.3776	0.9822	0.9998	1000
Quantized CNN	1.4768	10.9771	1.8820	0.9962	1000
CNN2SNN	49.4009	N/A	N/A	−0.6259	N/A

Articles in this issue

DOI: https://doi.org/10.2478/joeb-2025-0019 | Journal eISSN: 1891-5469

Journal RSS Feed

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,

Related subjects:

Bioengineering and biomedical engineering,

Biomedical electronics,

Biomedical engineering,

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.

Volume 16 (2025): Issue 1 (January 2025)

Previous article