Cargando…
A biophysical and statistical modeling paradigm for connecting neural physiology and function
To understand single neuron computation, it is necessary to know how specific physiological parameters affect neural spiking patterns that emerge in response to specific stimuli. Here we present a computational pipeline combining biophysical and statistical models that provides a link between variat...
Autores principales: | Glasgow, Nathan G., Chen, Yu, Korngreen, Alon, Kass, Robert E., Urban, Nathan N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182162/ https://www.ncbi.nlm.nih.gov/pubmed/37140691 http://dx.doi.org/10.1007/s10827-023-00847-x |
Ejemplares similares
-
Basal ganglia: physiological, behavioral, and computational studies
por: Moustafa, Ahmed A., et al.
Publicado: (2014) -
Identification of interacting neural populations: methods and statistical considerations
por: Kass, Robert E., et al.
Publicado: (2023) -
Physiology and biophysics
Publicado: (1965) -
A practical demonstration of the computational benefits of biophysical diversity among neurons
por: Tripathy, Shreejoy J, et al.
Publicado: (2010) -
A Numerical Approach to Ion Channel Modelling Using Whole-Cell Voltage-Clamp Recordings and a Genetic Algorithm
por: Gurkiewicz, Meron, et al.
Publicado: (2007)