Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models

We present an adaptive stimulus design method for efficiently estimating the parameters of a dynamic recurrent network model with interacting excitatory and inhibitory neuronal populations. Although stimuli that are optimized for model parameter estimation should, in theory, have advantages over non...

Descripción completa

Detalles Bibliográficos
Autores principales: Doruk, R. Ozgur, Zhang, Kechen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349832/
https://www.ncbi.nlm.nih.gov/pubmed/30723397
http://dx.doi.org/10.3389/fncir.2018.00119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349832/
https://www.ncbi.nlm.nih.gov/pubmed/30723397
http://dx.doi.org/10.3389/fncir.2018.00119

Ejemplares similares