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The discussions reflect a strong interest in the scientific details of the publication, with posts praising its mathematical framework and neural insights, such as references to dopamine and reward prediction errors, and some engaging critically with the interpretation of neural signals. The tone and focus on technical and neural aspects suggest a community intrigued by the detailed science and potential implications for understanding well-being.
Most discussions acknowledge the scientific validity and importance of the model, especially praising the neural and computational approaches to understanding happiness.
There is high interest, evidenced by curiosity about the mathematical formulas and neural mechanisms, with many posts referencing the detailed scientific content.
Posts demonstrate deep engagement by referencing specific studies, neural theories, and even critiquing aspects like dopamine's role, indicating thoughtful analysis.
While some posts highlight the significance of the research for understanding mood and happiness, the perceived practical or societal impact seems moderate, mainly inspiring scientific curiosity.
این مقاله سال ۲۰۱۴ توی ژورنال معتبر PNAS نشون میده انتظارات پایین یکی از کلیدهای مهم خوشحالی هست. Low expectation is key to happiness https://t.co/IRWk9sUgtN
@hubermanlab this is inaccurate. Dopamine is released when we do better than expected. An outcome that is fully predicted does not impact dopamine or subjective momentary happiness as this imaging/computational model shows: https://t.co/G7G2GBsXZx
Mathematics. Scientists discover the equations for happiness. Formulas from this free technical paper: https://t.co/rdfAVQlevu https://t.co/faVbWdeN2A
Feelings of happiness can be explained by the recent history of expectations (EV) and reward prediction errors (RPE), the difference between received and expected rewards https://t.co/jOqbS3RHZe 4/n
Happiness is higher after avoiding losses compared to not getting a reward, despite both outcomes being zero (n=35,219). This result is consistent with a role for expectations and reward prediction errors in determining happiness reported with n=18,420. https://t.co/7AXQWjXz0j 3/ https://t.co/qZgl1x3DXi
@RobbRutledge @SimonsFdn @yael_niv Thank you so much Robb! One thing inspiring this transition is your 2014 paper. What you did here was such a brilliant move; it opened big opportunities to chase mood's neural correlates. I can't wait to talk to you about all of it. https://t.co/RKEphWwwAI
This video explores how daily events influence happiness, emphasizing the role of expectations and surprises based on computational models and neural data, particularly highlighting brain activity in the striatum.
Studies show that small simple actions can significantly impact our mental health and life satisfaction. Learn how managing clutter, embracing imperfection, and making time for solitude can enhance emotional well-being…
Sources: • Clark, A. E. (2013). Adaptation and the Easterlin Paradox. In Handbook of Happiness Research, Springer. • Rutledge, R. B., Skandali, N., Dayan, P., & Dolan, R. J. (2014). A computational and neural model of momentary subjective well-being. PNAS, 111(33),
RT @pickover: Mathematics. Scientists discover the equations for happiness. Formulas from this free technical paper: https://t.co/rdfAVQ…
RT @pickover: Mathematics. Scientists discover the equations for happiness. Formulas from this free technical paper: https://t.co/rdfAVQ…
Mathematics. Scientists discover the equations for happiness. Formulas from this free technical paper: https://t.co/rdfAVQlevu https://t.co/faVbWdeN2A
@RobbRutledge @SimonsFdn @yael_niv Thank you so much Robb! One thing inspiring this transition is your 2014 paper. What you did here was such a brilliant move; it opened big opportunities to chase mood's neural correlates. I can't wait to talk to you about all of it. https://t.co/RKEphWwwAI
here's the scientific details: https://t.co/G7G2GBbUXx
youtu.be/ZcMLFDnqjWg?...
This framework importantly sheds light on the mysterious nature of mood, a kind of mental state that is vexing because it's often thought to not be about anything. Here dopamine is thought to track the difference between expectations and outcomes 9/n https://t.co/1WzN7sCxLF
@hubermanlab @CharanRanganath @lexfridman detailed here: https://t.co/1WzN7sCxLF
A computational and neural model of momentary subjective well-being | PNAS https://t.co/3tjnHjhSKs
RT @hamiderfani: این مقاله سال ۲۰۱۴ توی ژورنال معتبر PNAS نشون میده انتظارات پایین یکی از کلیدهای مهم خوشحالی هست. Low expectation is key…
این مقاله سال ۲۰۱۴ توی ژورنال معتبر PNAS نشون میده انتظارات پایین یکی از کلیدهای مهم خوشحالی هست. Low expectation is key to happiness https://t.co/IRWk9sUgtN
A computational and neural model of momentary subjective well-being | PNAS https://t.co/4EfFIy1L7k
High baseline dopamine is related to having high expectations but momentary happiness depends on doing better than expected, which is signaled by those short bursts (a reward prediction error), so here's why high levels of dopamine drives down happiness: https://t.co/G7G2GBbUXx
Feelings of happiness can be explained by the recent history of expectations (EV) and reward prediction errors (RPE), the difference between received and expected rewards https://t.co/jOqbS3RHZe 4/n
@hubermanlab this is inaccurate. Dopamine is released when we do better than expected. An outcome that is fully predicted does not impact dopamine or subjective momentary happiness as this imaging/computational model shows: https://t.co/G7G2GBsXZx
We should treat happiness as a tool rather than a goal. You may enjoy yourself more if you don’t expect everything to go perfectly. https://t.co/mTkvEMl7N8
A computational and neural model of momentary subjective well-being: Momentary happiness is explained by the combined influence of recent reward expectations and prediction errors arising from those expectations. https://t.co/5R4jpOHvtH
Happiness is higher after avoiding losses compared to not getting a reward, despite both outcomes being zero (n=35,219). This result is consistent with a role for expectations and reward prediction errors in determining happiness reported with n=18,420. https://t.co/7AXQWjXz0j 3/ https://t.co/qZgl1x3DXi
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