Trends in Cognitive Sciences最新文献

Creative problem solving and memory are inherently intertwined: memory accesses existing knowledge while creativity enhances it. Recent studies show that insights often accompanying creative solutions enhance long-term memory. This insight memory advantage (IMA) is explained by the 'insight as prediction error (PE)' hypothesis which states that insights arise from PEs updating predictive solution models and thereby enhancing memory. Neurally, the hippocampus initially detects PEs and then, together with the medial prefrontal cortex (mPFC), integrates and updates these expectations facilitating efficient memory encoding and retrieval. Dopamine (DA) mediates reward PEs and long-term potentiation (LTP) in the hippocampus, while noradrenaline (NE) enhances arousal and attention impacting the amygdala, the salience network, and hippocampal plasticity. These neurobiological mechanisms likely underpin IMA and have significant implications for educational practices and problem-solving strategies.

We highlight a fundamental psychological function that is central to many of our interactions in the environment - when to rely on memories versus sampling sensory information anew to guide behavior. By operationalizing sensorimnemonic decisions we aim to encourage and advance research into this pivotal process for understanding how memories serve adaptive cognition.

Multi-line electronic gambling machines (EGMs) are strongly associated with problem gambling. Dopamine (DA) plays a central role in substance-use disorders, which share clinical and behavioral features with disordered gambling. The structural design features of multi-line EGMs likely lead to the elicitation of various dopaminergic effects within their nested anticipation-outcome structure. The present account draws an analogy between EGM gambling and latent state inference accounts of conditioning, and links maladaptive gambling-related beliefs and expectancies to a process of erroneous latent state inference that may be exacerbated by EGM design features and associated dopaminergic processes. Over the course of repeated exposure to gambling, these processes may foster the emergence of maladaptive state priors, which clinically manifest as gambling-related cognitions, beliefs, and expectancies.

Cognition and behavior are emergent properties of brain systems that seek to maximize complex and adaptive behaviors while minimizing energy utilization. Different species reconcile this trade-off in different ways, but in humans the outcome is biased towards complex behaviors and hence relatively high energy use. However, even in energy-intensive brains, numerous parsimonious processes operate to optimize energy use. We review how this balance manifests in both homeostatic processes and task-associated cognition. We also consider the perturbations and disruptions of metabolism in neurocognitive diseases.

Cognitive neuroscience has converged on a definition of working memory (WM) as a capacity-limited system that maintains highly accessible representations via stimulus-specific neural patterns. We argue that this standard definition may be incomplete. We highlight the fundamental need to recognize specific instances or tokens and to bind those tokens to the surrounding context. We propose that contextual binding is supported by spatiotemporal 'pointers' and that pointers are the source of neural signals that track the number of stored items, independent of their content. These content-independent pointers may provide a productive perspective for understanding item-based capacity limits in WM and the role of WM as a gateway for long-term storage.

Generative artificial intelligence (GenAI) reshapes and challenges psychological ownership of created content. This article examines how GenAI disrupts original content creators' and GenAI users' sense of ownership and control and illustrates how both can perceive the illusion, dilution, and potential loss of control and ownership of content in the GenAI era.

Chronic pain (CP) not only causes physical discomfort but also significantly affects cognition. This review first summarizes emerging findings that reveal complex associations between CP and cognitive impairments, and then presents neuroimaging evidence showing aging-related brain alterations in CP and proposes a framework where accelerated brain aging links CP to cognitive impairments. This framework explains how CP-related multi-level factors, which either contribute to the onset of CP or arise as a result of CP, influence brain aging in linear and nonlinear ways, leading to cognitive impairments and increased dementia risk. Leveraging interpretable machine learning and molecular brain atlases, this framework enables the development of cognitive risk assessment indicators and elucidates the biological mechanisms underlying cognitive impairments in CP.

Various neuroscientific theories maintain that brain oscillations are important for neuronal computation, but opposing views claim that these macroscale dynamics are 'exhaust fumes' of more relevant processes. Here, we approach the question of whether oscillations are functional or epiphenomenal by distinguishing between measurements and processes, and by reviewing whether causal or inferentially useful links exist between field potentials, electric fields, and neurobiological events. We introduce a vocabulary for the role of brain signals and their underlying processes, demarcating oscillations as a distinct entity where both processes and measurements can exhibit periodicity. Leveraging this distinction, we suggest that electric fields, oscillating or not, are causally and computationally relevant, and that field potential signals can carry information even without causality.