Neural and Computational Mechanisms of Motivation and Decision-making DOI
Debbie Yee

Journal of Cognitive Neuroscience, Год журнала: 2024, Номер 36(12), С. 2822 - 2830

Опубликована: Янв. 1, 2024

Motivation is often thought to enhance adaptive decision-making by biasing actions toward rewards and away from punishment. Emerging evidence, however, points a more nuanced view whereby motivation can both impair different aspects of decision-making. Model-based approaches have gained prominence over the past decade for developing precise mechanistic explanations how incentives impact goal-directed behavior. In this Special Focus, we highlight three studies that demonstrate computational frameworks help decompose decision processes into constituent cognitive components, as well formalize when motivational factors (e.g., monetary rewards) influence specific processes, strategies, self-report measures. Finally, I conclude with provocative suggestion based on recent advances in field: organisms do not merely seek maximize expected value extrinsic incentives. Instead, they may be optimizing achieve desired internal state homeostasis, effort, affect). Future investigation such will fruitful endeavor unlocking cognitive, computational, neural mechanisms motivated

Язык: Английский

Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice DOI Creative Commons

Lizhen Lu,

Yueli Zhu,

Jiekai Yang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 7, 2025

To explore the attitudes of healthcare professionals and public on applying ChatGPT in clinical practice. The successful application practice depends technical performance critically perceptions non-healthcare healthcare. This study has a qualitative design based artificial intelligence. was divided into five steps: data collection, cleaning, validation relevance, sentiment analysis, content analysis using K-means algorithm. comprised 3130 comments amounting to 1,593,650 words. dictionary method showed positive negative emotions such as anger, disgust, fear, sadness, surprise, good, happy emotions. Healthcare prioritized ChatGPT's efficiency but raised ethical accountability concerns, while valued its accessibility emotional support expressed worries about privacy misinformation. Bridging these perspectives by improving reliability, safeguarding privacy, clearly defining role is essential for practical integration

Язык: Английский

Процитировано

1

Response to the critiques (and encouragements) on our critique of motivation constructs DOI
Kou Murayama, Hayley Jach

Behavioral and Brain Sciences, Год журнала: 2025, Номер 48

Опубликована: Янв. 1, 2025

Abstract The target article argued that motivation constructs are treated as black boxes and called for work specifies the mental computational processes underlying motivated behavior. In response to critical commentaries, we clarify our philosophical standpoint, elaborate on meaning of why past was not sufficient, discuss opportunities expand scope framework.

Язык: Английский

Процитировано

1

Effort paradox redux: Rethinking how effort shapes social behavior DOI
Michael Inzlicht, Aidan Vern Campbell, Blair Saunders

и другие.

Advances in experimental social psychology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

The adaptive value of behavioral inhibition DOI Creative Commons
Rodrigo Sosa

Current Opinion in Behavioral Sciences, Год журнала: 2025, Номер 63, С. 101523 - 101523

Опубликована: Апрель 17, 2025

Язык: Английский

Процитировано

0

Understanding cognitive control in depression: the interactive role of emotion, expected efficacy and reward DOI Creative Commons
Mostafa Toobaei, Mohammad Reza Taghavi, Laura Jobson

и другие.

BMC Psychiatry, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 21, 2025

Difficulties in cognitive control over negative emotional stimuli are a key characteristic of depression. The Expected Value Control (EVC) provides framework for understanding how is allocated, focusing on the motivational factors efficacy and reward. Efficacy likelihood that an effort will result specific result, while reward value assigned to outcome. However, impact emotion estimation EVC has not been explored. We investigated interplay between motivation, using theoretical framework, utilized within-between-subject design. subjects were healthy controls (n = 31) those with depression 36), who underwent clinical diagnostic interview, completed General Health Questionnaire-12, Beck Depression Inventory-II, participated incentivized Emotional Stroop Paradigm, whereby participants received cues indicating different levels (low vs. high) prior targeted stimuli. Significant interactions detected a) group × valence efficacy, b) regarding accuracy rates Task. Follow-up analyses revealed during high-efficacy trials, demonstrated significantly greater than Depressed both positive neutral In low-efficacy Controls also more accurate when responding Additionally, performed worse high-reward no significant difference was two groups low-reward trials. can influence assessment individuals may have difficulties cues. Further research necessary incorporate into framework.

Язык: Английский

Процитировано

0

Neural and Computational Mechanisms of Motivation and Decision-making DOI
Debbie Yee

Journal of Cognitive Neuroscience, Год журнала: 2024, Номер 36(12), С. 2822 - 2830

Опубликована: Янв. 1, 2024

Motivation is often thought to enhance adaptive decision-making by biasing actions toward rewards and away from punishment. Emerging evidence, however, points a more nuanced view whereby motivation can both impair different aspects of decision-making. Model-based approaches have gained prominence over the past decade for developing precise mechanistic explanations how incentives impact goal-directed behavior. In this Special Focus, we highlight three studies that demonstrate computational frameworks help decompose decision processes into constituent cognitive components, as well formalize when motivational factors (e.g., monetary rewards) influence specific processes, strategies, self-report measures. Finally, I conclude with provocative suggestion based on recent advances in field: organisms do not merely seek maximize expected value extrinsic incentives. Instead, they may be optimizing achieve desired internal state homeostasis, effort, affect). Future investigation such will fruitful endeavor unlocking cognitive, computational, neural mechanisms motivated

Язык: Английский

Процитировано

0