Cargando…
Dimensional Reduction for the Inverse Problem of Neural Field Theory
Inverse problems in computational neuroscience comprise the determination of synaptic weight matrices or kernels for neural networks or neural fields respectively. Here, we reduce multi-dimensional inverse problems to inverse problems in lower dimensions which can be solved in an easier way or even...
Autores principales: | Potthast, Roland, Graben, Peter beim |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773151/ https://www.ncbi.nlm.nih.gov/pubmed/19893754 http://dx.doi.org/10.3389/neuro.10.017.2009 |
Ejemplares similares
-
Metastable dynamics in heterogeneous neural fields
por: Schwappach, Cordula, et al.
Publicado: (2015) -
Neural fields: theory and applications
por: Coombes, Stephen, et al.
Publicado: (2014) -
Neural masses and fields: modeling the dynamics of brain activity
por: Pinotsis, Dimitris, et al.
Publicado: (2014) -
A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons
por: beim Graben, Peter, et al.
Publicado: (2013) -
Statistical Frequency-Dependent Analysis of Trial-to-Trial Variability in Single Time Series by Recurrence Plots
por: Tošić, Tamara, et al.
Publicado: (2016)