Uncovering hidden network architecture from spiking activities using an exact statistical input-output relation of neurons

Identifying network architecture from observed neural activities is crucial in neuroscience studies. A key requirement is knowledge of the statistical input-output relation of single neurons in vivo. By utilizing an exact analytical solution of the spike-timing for leaky integrate-and-fire neurons u...

Descripción completa

Detalles Bibliográficos
Autores principales: Shomali, Safura Rashid, Rasuli, Seyyed Nader, Ahmadabadi, Majid Nili, Shimazaki, Hideaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932086/
https://www.ncbi.nlm.nih.gov/pubmed/36792689
http://dx.doi.org/10.1038/s42003-023-04511-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932086/
https://www.ncbi.nlm.nih.gov/pubmed/36792689
http://dx.doi.org/10.1038/s42003-023-04511-z

Ejemplares similares