Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience

Front Comput Neurosci. 2023 Sep 12:17:1267489. doi: 10.3389/fncom.2023.1267489. eCollection 2023.

Chengjia Wang^{1

2}, Heye Zhang³, Georgios Papanastasiou^{2

4}, Guang Yang^{5

6}

¹ School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
² BHF Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, United Kingdom.
³ School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
⁴ School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom.
⁵ National Heart & Lung Institute, Imperial College London, London, United Kingdom.
⁶ Bioengineering Department and Imperial-X, Imperial College London, London, United Kingdom.

No abstract available

Keywords: IoT; dynamic convolution; federated learning; heterogeneous models; machine learning; multi-modality; transformer.

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