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

Behavioral and Brain Sciences 47:e149 (2024)
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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.

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Ignacio Cea
Temuco Catholic University

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