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...
- 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)