Cargando…
Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function
Neural activity coordinated across different scales from neuronal circuits to large-scale brain networks gives rise to complex cognitive functions. Bridging the gap between micro- and macroscale processes, we present a novel framework based on the maximum entropy model to infer a hybrid resting-stat...
Autores principales: | Fortel, Igor, Butler, Mitchell, Korthauer, Laura E., Zhan, Liang, Ajilore, Olusola, Sidiropoulos, Anastasios, Wu, Yichao, Driscoll, Ira, Schonfeld, Dan, Leow, Alex |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205431/ https://www.ncbi.nlm.nih.gov/pubmed/35733430 http://dx.doi.org/10.1162/netn_a_00220 |
Ejemplares similares
-
Disrupted excitation-inhibition balance in cognitively normal individuals at risk of Alzheimer’s disease
por: Fortel, Igor, et al.
Publicado: (2023) -
Maximum-Entropy Inference with a Programmable Annealer
por: Chancellor, Nicholas, et al.
Publicado: (2016) -
CNETML: maximum likelihood inference of phylogeny from copy number profiles of multiple samples
por: Lu, Bingxin, et al.
Publicado: (2023) -
Network Inference and Maximum Entropy Estimation on Information Diagrams
por: Martin, Elliot A., et al.
Publicado: (2017) -
Maximum Causal Entropy Specification Inference from Demonstrations
por: Vazquez-Chanlatte, Marcell, et al.
Publicado: (2020)