Meta-learning modeling and the role of affective-homeostatic states in human cognition

Cea, I.

Abstract

The meta-learning framework proposed by Binz et al. would gain significantly from the inclusion of affective and homeostatic elements, currently neglected in their work. These components are crucial as cognition as we know it is profoundly influenced by affective states, which arise as intricate forms of homeostatic regulation in living bodies.

Más información

Título según WOS: Meta-learning modeling and the role of affective-homeostatic states in human cognition
Título según SCOPUS: Meta-learning modeling and the role of affective-homeostatic states in human cognition
Título de la Revista: Behavioral and Brain Sciences
Volumen: 47
Editorial: Cambridge University Press
Fecha de publicación: 2024
Idioma: English
DOI:

10.1017/S0140525X24000098

Notas: ISI, SCOPUS