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