Cargando…
A Statistical Model for In Vivo Neuronal Dynamics
Single neuron models have a long tradition in computational neuroscience. Detailed biophysical models such as the Hodgkin-Huxley model as well as simplified neuron models such as the class of integrate-and-fire models relate the input current to the membrane potential of the neuron. Those types of m...
Autores principales: | Surace, Simone Carlo, Pfister, Jean-Pascal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4646699/ https://www.ncbi.nlm.nih.gov/pubmed/26571371 http://dx.doi.org/10.1371/journal.pone.0142435 |
Ejemplares similares
-
Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception
por: Kutschireiter, Anna, et al.
Publicado: (2017) -
Publisher Correction: Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception
por: Kutschireiter, Anna, et al.
Publicado: (2017) -
Learning as filtering: Implications for spike-based plasticity
por: Jegminat, Jannes, et al.
Publicado: (2022) -
On the choice of metric in gradient-based theories of brain function
por: Surace, Simone Carlo, et al.
Publicado: (2020) -
Efficient sampling-based Bayesian Active Learning for synaptic characterization
por: Gontier, Camille, et al.
Publicado: (2023)