The Neuroanatomical Correlates of Daily Habitual Tendencies and Mediating Effect on the Association between Daily Habitual Tendencies and Symptoms of Behavioral Addictions DOI
Xinqi Zhou, Qi Liu, Lan Wang

и другие.

Computers in Human Behavior, Год журнала: 2024, Номер 158, С. 108310 - 108310

Опубликована: Май 20, 2024

Язык: Английский

Schemas, reinforcement learning and the medial prefrontal cortex DOI
Oded Bein, Yael Niv

Nature reviews. Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

6

A goal-centric outlook on learning DOI Creative Commons
Gaia Molinaro, Anne Collins

Trends in Cognitive Sciences, Год журнала: 2023, Номер 27(12), С. 1150 - 1164

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

30

The human reward system encodes the subjective value of ideas during creative thinking DOI Creative Commons
Sarah Moreno-Rodriguez, Benoît Béranger, Emmanuelle Volle

и другие.

Communications Biology, Год журнала: 2025, Номер 8(1)

Опубликована: Янв. 10, 2025

Creative thinking involves the evaluation of one's ideas in order to select best one, but cognitive and neural mechanisms underlying this remain unclear. Using a combination creativity rating tasks, study demonstrates that individuals attribute subjective values their ideas, as relative balance originality adequacy. This depends on individual preferences predicts individuals' creative abilities. functional Magnetic Resonance Imaging, we find Default Mode Executive Control Networks respectively encode adequacy human reward system encodes value. Interestingly, connectivity with correlates preferences. These results add valuation incomplete behavioral accounts creativity, offering perspectives influence Creativity tasks fMRI help unpack process thinking, revealing its substrates shedding light link between

Язык: Английский

Процитировано

1

Rationality, preferences, and emotions with biological constraints: it all starts from our senses DOI Creative Commons
Rafael Polanìa, Denis Burdakov, Todd A. Hare

и другие.

Trends in Cognitive Sciences, Год журнала: 2024, Номер 28(3), С. 264 - 277

Опубликована: Фев. 9, 2024

Is the role of our sensory systems to represent physical world as accurately possible? If so, are preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' experiences? We show why answer both questions is 'no'. Brain function metabolically costly, brain loses some fraction information that it encodes transmits. Therefore, if brains maximize objective functions increase fitness their species, they should adapt objective-maximizing rules environment at earliest stages processing. Consequently, observed 'irrationalities', preferences, emotions stem necessity for early process while considering metabolic costs internal states organism.

Язык: Английский

Процитировано

8

The computational structure of consummatory anhedonia DOI Creative Commons
Anna Hall, Michael Browning, Quentin J. M. Huys

и другие.

Trends in Cognitive Sciences, Год журнала: 2024, Номер 28(6), С. 541 - 553

Опубликована: Фев. 28, 2024

Anhedonia is a reduction in enjoyment, motivation, or interest. It common across mental health disorders and harbinger of poor treatment outcomes. The enjoyment aspect, termed 'consummatory anhedonia', particular poses fundamental questions about how the brain constructs rewards: what processes determine intensely reward experienced? Here, we outline limitations existing computational conceptualisations consummatory anhedonia. We then suggest richer reinforcement learning (RL) account anhedonia with reconceptualisation subjective hedonic experience terms goal progress. This accounts qualitatively for impact stress, dysfunctional cognitions, maladaptive beliefs on experience. model also offers new views treatments

Язык: Английский

Процитировано

8

The online metacognitive control of decisions DOI Creative Commons
Juliette Bénon, Douglas G. Lee,

W. David Hopper

и другие.

Communications Psychology, Год журнала: 2024, Номер 2(1)

Опубликована: Март 27, 2024

Difficult decisions typically involve mental effort, which scales with the deployment of cognitive (e.g., mnesic, attentional) resources engaged in processing decision-relevant information. But how does brain regulate effort? A possibility is that optimizes a resource allocation problem, whereby amount invested balances its expected cost (i.e. effort) and benefit. Our working assumption subjective decision confidence serves as benefit term hence "metacognitive" nature control. Here, we present computational model for online metacognitive control or oMCD. Formally, oMCD Markov Decision Process optimally solves ensuing problem under agnostic assumptions about inner workings underlying system. We demonstrate this makes quasi-optimal policy broad class processes, including -but not limited to- progressive attribute integration. disclose oMCD's main properties (in terms choice, response time), show they reproduce most established empirical results field value-based making. Finally, discuss possible connections between prominent neurocognitive theories effort regulation.

Язык: Английский

Процитировано

8

The affective gradient hypothesis: an affect-centered account of motivated behavior DOI
Amitai Shenhav

Trends in Cognitive Sciences, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

6

Motivational context determines the impact of aversive outcomes on mental effort allocation DOI
Mahalia Prater Fahey, Debbie Yee, Xiamin Leng

и другие.

Cognition, Год журнала: 2024, Номер 254, С. 105973 - 105973

Опубликована: Окт. 15, 2024

Язык: Английский

Процитировано

4

Spontaneous thought as play: the value of fictional goals in the default mode network DOI Creative Commons
Gaia Molinaro, Moshe Bar

Current Opinion in Behavioral Sciences, Год журнала: 2025, Номер 63, С. 101504 - 101504

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

0

Having multiple selves helps learning agents explore and adapt in complex changing worlds DOI Creative Commons
Zack Dulberg, Rachit Dubey, Isabel M. Berwian

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2023, Номер 120(28)

Опубликована: Июль 3, 2023

Satisfying a variety of conflicting needs in changing environment is fundamental challenge for any adaptive agent. Here, we show that designing an agent modular fashion as collection subagents, each dedicated to separate need, powerfully enhanced the agent’s capacity satisfy its overall needs. We used formalism deep reinforcement learning investigate biologically relevant multiobjective task: continually maintaining homeostasis set physiologic variables. then conducted simulations environments and compared how agents performed relative standard monolithic (i.e., aimed all integrated manner using single aggregate measure success). Simulations revealed a) exhibited form exploration was intrinsic emergent rather than extrinsically imposed; b) were robust changes nonstationary environments, c) scaled gracefully their ability maintain number objectives increased. Supporting analysis suggested robustness increasing numbers due efficiency representation afforded by architecture. These results suggest normative principles which have adapted complex may also explain why humans long been described consisting “multiple selves.”

Язык: Английский

Процитировано

8