Works matching IS 01290657 AND DT 2019 AND VI 29 AND IP 7
Results: 5
A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.
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- International Journal of Neural Systems, 2019, v. 29, n. 7, p. N.PAG, doi. 10.1142/S0129065718500582
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- Article
Proprioceptive Recognition with Artificial Neural Networks Based on Organizations of Spinocerebellar Tract and Cerebellum.
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- International Journal of Neural Systems, 2019, v. 29, n. 7, p. N.PAG, doi. 10.1142/S0129065718500569
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Prediction of Forelimb EMGs and Movement Phases from Corticospinal Signals in the Rat During the Reach-to-Pull Task.
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- International Journal of Neural Systems, 2019, v. 29, n. 7, p. N.PAG, doi. 10.1142/S0129065719500096
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- Article
Strong–Weak Pruning for Brain Network Identification in Connectome-Wide Neuroimaging: Application to Amyotrophic Lateral Sclerosis Disease Stage Characterization.
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- International Journal of Neural Systems, 2019, v. 29, n. 7, p. N.PAG, doi. 10.1142/S0129065719500072
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Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis.
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- International Journal of Neural Systems, 2019, v. 29, n. 7, p. N.PAG, doi. 10.1142/S0129065719500059
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- Article