An information theoretic learning framework based on Renyi’s α entropy for brain effective connectivity estimation

The interactions among neural populations distributed across different brain regions are at the core of cognitive and perceptual processing. Therefore, the ability of studying the flow of information within networks of connected neural assemblies is of fundamental importance to understand such proce...

Full description

Autores:
De La Pava Panche , Ivan
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2021
Institución:
Universidad Tecnológica de Pereira
Repositorio:
Repositorio Institucional UTP
Idioma:
eng
OAI Identifier:
oai:repositorio.utp.edu.co:11059/14117
Acceso en línea:
https://hdl.handle.net/11059/14117
https://repositorio.utp.edu.co/home
Palabra clave:
620 - Ingeniería y operaciones afines
Kernel - Operating systems
Information entropy
Data compression
Brain connectivity
effective connectivity
transfer entropy
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)