AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Convergent behavioural, computational and neural evidence obtained across rodents, non-human primates and humans indicates that self-evaluations arise from structured transformations of uncertainty, which supports metacognitive control at multiple timescales.
Abstract Mindfulness has established psychological benefits, such as stress reduction and emotional regulation; however, the underlying computational mechanisms, particularly in relation to mind-wandering, remain unclear. This study aimed to present a hierarchical recurrent neural network-based agent model grounded in...
Impaired self-awareness affects 30–50% of patients with moderate to severe acquired brain injury (ABI) and represents one of the most clinically consequential obstacles to effective rehabilitation. Despite substantial evidence that self-awareness and executive functions share neural substrates in prefrontal cortex, the...
The human brain's ability to form and maintain rich internal representations of personally familiar others, even in the absence of direct sensory input, is a prominent feature of social cognition. We tested whether the identity of familiar individuals can be decoded from neural activity patterns elicited during interna...
Mental representations enable the brain to transcend the immediacy of sensory input and operate on internal models of the world. Working memory (WM) provides the neural substrate that maintains, manipulates, and accesses these representations over behaviorally relevant timescales. Early studies identified persistent ne...
Atypical metacognition has been suggested to underlie autistic phenotypes, given its role in social cognition and behavioral flexibility. However, no study has quantitatively assessed metacognitive abilities in autism. Here, we measured meta-uncertainty—the noise corrupting estimates of one’s own decision uncertainty—i...
Avoidance behaviour is fundamental for survival but can become maladaptive in clinical conditions. A large body of literature has accumulated on the dynamics of human avoidance learning. However, current theories and overviews do not provide an exhaustive account of this evidence. In this systematic review, we identify...
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