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)

 
 
	 
  
       
       
      