Cargando…
Identification of Neuronal Polarity by Node-Based Machine Learning
Identifying the direction of signal flows in neural networks is important for understanding the intricate information dynamics of a living brain. Using a dataset of 213 projection neurons distributed in more than 15 neuropils of a Drosophila brain, we develop a powerful machine learning algorithm: n...
Autores principales: | Su, Chen-Zhi, Chou, Kuan-Ting, Huang, Hsuan-Pei, Li, Chiau-Jou, Charng, Ching-Che, Lo, Chung-Chuan, Wang, Daw-Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566381/ https://www.ncbi.nlm.nih.gov/pubmed/33666823 http://dx.doi.org/10.1007/s12021-021-09513-y |
Ejemplares similares
-
Flavonoids Identification and Pancreatic Beta-Cell Protective Effect of Lotus Seedpod
por: Lee, Ming-Shih, et al.
Publicado: (2020) -
Enhanced Signed Graph Neural Network with Node Polarity
por: Chen, Jiawang, et al.
Publicado: (2022) -
Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury
por: Tu, Kuan-Chi, et al.
Publicado: (2023) -
Quantitative Measurement of Progesterone Receptor Immunohistochemical Expression to Predict Lymph Node Metastasis in Endometrial Cancer
por: Hsiao, Yu-Yang, et al.
Publicado: (2022) -
Rab11 activation by Ik2 kinase is required for dendrite pruning in Drosophila sensory neurons
por: Lin, Tzu, et al.
Publicado: (2020)