Cargando…
Statistical Approaches for the Analysis of Dependency Among Neurons Under Noise
Neuronal noise is a major factor affecting the communication between coupled neurons. In this work, we propose a statistical toolset to infer the coupling between two neurons under noise. We estimate these statistical dependencies from data which are generated by a coupled Hodgkin–Huxley (HH) model...
Autores principales: | Gençağa, Deniz, Şengül Ayan, Sevgi, Farnoudkia, Hajar, Okuyucu, Serdar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516863/ https://www.ncbi.nlm.nih.gov/pubmed/33286161 http://dx.doi.org/10.3390/e22040387 |
Ejemplares similares
-
Transfer Entropy
por: Gençağa, Deniz
Publicado: (2018) -
Quantitative roles of ion channel dynamics on ventricular action potential
por: Sırcan, Ahmet Kürşad, et al.
Publicado: (2021) -
Auditory Cortical Plasticity Dependent on Environmental Noise Statistics
por: Homma, Natsumi Y., et al.
Publicado: (2020) -
Understanding Statistical Noise in Research: 3. Noise in Regression
Analysis
por: Andrade, Chittaranjan
Publicado: (2023) -
Exact firing time statistics of neurons driven by discrete inhibitory noise
por: Olmi, Simona, et al.
Publicado: (2017)