Functional MRI study of feedback-based reinforcement learning in depression.
- Published in:
- Frontiers in Neuroinformatics, 2023, v. 16, p. 1, doi. 10.3389/fninf.2022.1028121
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- Article
Works matching IS 16625196 AND DT 2023 AND VI 16
Results: 6
1
2
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data.
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- Frontiers in Neuroinformatics, 2023, v. 16, p. 1, doi. 10.3389/fninf.2022.1056068
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- Publication type:
- Article
3
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients.
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- Frontiers in Neuroinformatics, 2023, v. 16, p. 01, doi. 10.3389/fninf.2022.1063610
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- Publication type:
- Article
4
A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations.
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- Frontiers in Neuroinformatics, 2023, v. 16, p. 1, doi. 10.3389/fninf.2022.960607
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- Publication type:
- Article
5
Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks.
- Published in:
- Frontiers in Neuroinformatics, 2023, v. 16, p. 01, doi. 10.3389/fninf.2022.1032538
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- Publication type:
- Article
6
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems.
- Published in:
- Frontiers in Neuroinformatics, 2023, v. 16, p. 1, doi. 10.3389/fninf.2022.1103295
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- Publication type:
- Article