Spain: A Country for The Future DOI
Francisco J. Jariego,

Isabel F. Peñuelas

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Since the advent of democracy in 1978, Spain has undergone a remarkable economic and social transformation. However, it not been able to reduce income gap maintains compared with most advanced economies world. There is general agreement that main causes are low productivity, secular deficit innovation technological development adoption regulatory environment.Two years ago, 2021, Spanish government presented vision as an Entrepreneurial Nation by 2030, explicit invitation “all men women living (the) country embark on journey” make happen. In this article we offer humble contribution open invitation. We begin looking at narrative context changing global geopolitical scenario. Our starting hypothesis official “litany” offers only superficial view much deeper complex socio techno dynamics. present brief overview some relevant contributions objective establish connections among areas research which usually studied independent knowledge fields. Understanding dynamics our technoeconomic systems must identify key dimensions futures game, while understanding forces hidden behind culture institutions strategies available for (Spain) over next 25-50 years. To substantiate own metaphor, look clues history Spain. model built upon three elements: (1) Scenarios explore future options. (2) Game Theory characterize strategy interaction players.(3) Agent Based Modelling aspirational quantitative complexity emerging dynamics.The ultimate work first tentative, criticism, high level, holistic player’s Futures Game. use both example call action. aim attract minded, qualified experts different areas, interested contributing drawing credible attractive country. Beyond its application case Spain, would like see extended other countries types players game.

Language: Английский

The date/delay effect in intertemporal choice: A combined fMRI and eye‐tracking study DOI Creative Commons
Kristof Keidel, Rebekka Schröder,

Peter Trautner

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(3)

Published: Feb. 15, 2024

Abstract Temporal discounting, the tendency to devalue future rewards as a function of delay until receipt, is influenced by time framing. Specifically, discount rates are shallower when at which reward received presented date (date condition; e.g., June 8, 2023) rather than in units (delay 30 days), commonly referred date/delay effect. However, cognitive and neural mechanisms this effect not well understood. Here, we examined analysing combined fMRI eye‐tracking data N = 31 participants completing temporal discounting task both condition. The results confirmed revealed that condition led higher fixation durations on attributes activity precuneus/PCC angular gyrus, is, areas previously associated with episodic thinking. Additionally, made more comparative eye movements compared A lower was prefrontal > contrast, suggesting control or arithmetic operations may reduce Our findings line hypotheses positing differential estimation use opposed integrative choice strategies. memory‐related brain suggests leads perceived proximity delayed rewards, while frontal (middle/superior posterior medial cortex, cingulate) particularly pronounced avoiding complex

Language: Английский

Citations

4

Enhancing task fMRI individual difference research with neural signatures DOI Creative Commons
David A. A. Baranger, Aaron J. Gorelik, Sarah E. Paul

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Abstract Task-based functional magnetic resonance imaging (tb-fMRI) has advanced our understanding of brain-behavior relationships. Standard tb-fMRI analyses suffer from limited reliability and low effect sizes, machine learning (ML) approaches often require thousands subjects, restricting their ability to inform how brain function may arise contribute individual differences. Using data 9,024 early adolescents, we derived a classifier (‘neural signature’) distinguishing between high working memory loads in an emotional n-back fMRI task, which captures differences the separability activation two task conditions. Signature predictions were more reliable had stronger associations with performance, cognition, psychopathology than standard estimates regional activation. Further, signature was sensitive required smaller training sample (N=320) ML approaches. Neural signatures hold tremendous promise for enhancing informativeness research revitalizing its use.

Language: Английский

Citations

0

Beyond Impulse Control – Toward a Comprehensive Neural Account of Future-Oriented Decision Making DOI Creative Commons
Georgia Eleni Kapetaniou, Alexander Soutschek

Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: 172, P. 106115 - 106115

Published: March 22, 2025

Language: Английский

Citations

0

Parahippocampal–ventromedial prefrontal cortex functional coupling mediates the association between subjective time perception and delay discounting DOI Creative Commons
Hyun Jung Han, Wi Hoon Jung

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 24, 2025

Abstract Delay discounting (DD) refers to a decrease in the perceived value of an outcome when its delivery is delayed. Time perception (TP), subjective awareness passage time, considered critical factor enabling modification heightened DD. However, little known about neural mechanisms mediating relationship between TP and To address this, we instructed participants perform task while watching scenic videos moving leftward or rightward, followed by DD task, during brain scanning. We observed that became faster rightward movies [the left-to-right (LtoR) condition, which participants’ native language reading direction] compared baseline, there was significant correlation differences LtoR condition baseline. Seed-based connectivity analyses revealed behavioral data, including DD, left parahippocampal seed under condition. Subsequent mediation analysis seed-ventromedial prefrontal cortex functional mediated Our findings suggest natural effect on manipulation provide insights into

Language: Английский

Citations

0

Dorsomedial and ventromedial prefrontal cortex lesions differentially impact social influence and temporal discounting DOI Creative Commons
Zhilin Su, Mona M. Garvert, Lei Zhang

et al.

PLoS Biology, Journal Year: 2025, Volume and Issue: 23(4), P. e3003079 - e3003079

Published: April 28, 2025

The medial prefrontal cortex (mPFC) has long been associated with economic and social decision-making in neuroimaging studies. Several debates question whether different ventral mPFC (vmPFC) dorsal (dmPFC) regions have specific functions or there is a gradient supporting nonsocial cognition. Here, we tested an unusually large sample of rare participants focal damage to the ( N = 33), individuals lesions elsewhere 17), healthy controls 71) (total 121). Participants completed temporal discounting task estimate their baseline preferences before learning two other people, one who was more temporally impulsive patient. We used Bayesian computational models susceptibility influence after others’ preferences. increased compared overall those elsewhere. Importantly, voxel-based lesion-symptom mapping (VLSM) parameters showed that this heightened attributed specifically dmPFC (area 9; permutation-based threshold-free cluster enhancement (TFCE) p < 0.025). In contrast, vmPFC (areas 13 25) striatum were preference for seeking immediate rewards (permutation-based TFCE 0.05). show causally implicated influence, distinct portions involved discounting. These findings provide causal evidence sub-regions underpinning fundamental cognitive processes.

Language: Английский

Citations

0

Altering subjective time perception leads to correlated changes in neural activity and delay discounting DOI Creative Commons
Sangil Lee, Joseph W. Kable, Wi Hoon Jung

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121244 - 121244

Published: April 1, 2025

Language: Английский

Citations

0

Intertemporal choice and temporal discounting in children: A review and synthesis DOI Creative Commons
Teresa McCormack, Ciarán Canning, Agnieszka J. Graham

et al.

Developmental Review, Journal Year: 2024, Volume and Issue: 72, P. 101134 - 101134

Published: May 30, 2024

We review existing research on intertemporal choice in children that has used delay tasks, a type of gratification task typically involves choosing between smaller reward now and larger later. align developmental with some the large body empirical theoretical work this area been conducted adults, focus methodological appropriateness, effectiveness experimental manipulations, role future thinking processes choice. conclude that, care, it is possible to use discounting tasks from around 8 years are similar those have adults; simpler likely yield robust data 3 years. Experimental manipulations enhance performance generally less successful child populations than but there evidence learning-based framing approaches can increase likelihood gratification. outline detailed framework, based describes various ways which may contribute choice, argue these develop relatively late. This means nature relation change substantially development.

Language: Английский

Citations

3

Distinguishing deception from its confounds by improving the validity of fMRI-based neural prediction DOI
Sangil Lee,

R. Niu,

Lusha Zhu

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(50)

Published: Dec. 6, 2024

Deception is a universal human behavior. Yet longstanding skepticism about the validity of measures used to characterize biological mechanisms underlying deceptive behavior has relegated such studies scientific periphery. Here, we address these fundamental questions by applying machine learning methods and functional magnetic resonance imaging (fMRI) signaling games capturing motivated deception in participants. First, develop an approach test for presence confounding processes validate past showing that much predictive power neural predictors trained on data comes from other than deception. Specifically, demonstrate discriminant compromised predictor’s ability predict control task does not involve Second, show signals need be fatal predictor can improved removing while retaining those associated with interest. To this end, “dual-goal tuning” which, beyond typical goal predicting interest, also incorporates second compulsory enforces chance performance task. Together, findings provide firmer foundation understanding basis neglected class behavior, they suggest improving predictors.

Language: Английский

Citations

1

Updated Reviews and Trends in Consumer Neuroscience DOI Creative Commons
Jin Ho Yun

Deleted Journal, Journal Year: 2023, Volume and Issue: 25(3), P. 111 - 125

Published: Oct. 31, 2023

Consumer neuroscience methods have become prevalent in marketing research. Despite their proven significance, very little research has addressed applications Asia. Thus, this review aims to introduce practical integrations with consumer and how they can be carefully applied these fields, some identified caveats. Specifically, I the recent literature from top science journals (1) highlight substantial of updated neuroscientific neuroforecasting approaches, (2) discuss additional potential computational models applications, (3) offer a simple framework that adopts multi-method approach intended enhance both external ecological validity findings. Along need for embracing scientific rigor theory, more guidelines are also needed improve issues neuroimaging uses directions nascent field neuroscience.

Language: Английский

Citations

2

Nothing but lies: improving the validity of neural predictors of deception DOI Creative Commons
Sangil Lee,

R. Niu,

Lusha Zhu

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 9, 2024

Abstract Deception is a universal human behavior. Yet longstanding skepticism about the validity of measures used to understand biological mechanisms underlying deceptive behavior has relegated such studies scientific periphery. Here we address these fundamental questions by applying novel machine learning methods and functional neuroimaging signaling games capturing motivated deception in participants. First, develop an approach test for presence confounding processes thereby validate past showing that much predictive power neural predictors trained on data comes from processes. Second, show signals need not be fatal, improve our predictor via procedure identifies removes signals. Together, findings point studying neglected class behavior, with important methodological societal implications.

Language: Английский

Citations

0