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Discussions reflect strong interest, with posters referencing specific neural and behavioral findings, such as the shift of neural activity from the anterior insula to ventral striatum and effects on gain/loss framing, often using technical language and personal enthusiasm that underscores their deep engagement and acknowledgment of the study's significance.
Most discussions support the significance of context-dependent learning and neural mechanisms, indicating general agreement about the importance of the research findings.
The use of personal enthusiasm and mentions of related past studies demonstrate high interest among the posters.
Posts delve into detailed analysis of methodologies like fMRI data, reinforcement learning biases, and previous related papers, showing deep engagement.
The emphasis on potential implications for neuroeconomics and understanding of human learning highlights moderate perceived impact.
with @StePalminteri's own little pet obsession(s), namely reinforcement learning (RL) biases – and specifically context-dependence and confirmatory updating. https://t.co/wJMJ9R1d32 https://t.co/QJLo1uz21j 3/11
First of all, let me start by mentioning that this (value context-dependence in RL) is a topic I have been kind of obsessed with for few years. These are links to papers previously published on similar topics by the team https://t.co/TatsKmkM17 https://t.co/hFuFHwFzRm
I analyzed #fMRI data from a previous #neuroeconomics study by @StePalminteri, Khamassi, Joffily and @GioCoricelli on Contextual modulation of value signals in reward and punishment learning https://t.co/OEIbJNhv3A. 3/
In a first study, we tested if reference point-dependence affects the way outcomes are encoded in human reinforcement learning. The behavioural paradigm joins a learning phase with a transfer phase https://t.co/4hHxjW21zQ https://t.co/JSjQ5nz8xZ
In the first paper, we investigated reference-point dependence in a pretty standard task featuring a gain and a loss frame. We found that in loss contexts neutral outcomes are reframed as positive ones. This has both positive and negative effects (https://t.co/4hHxjW21zQ) https://t.co/MasqWC0UmS
To address these questions Doris re-analysed with uni- and multi-variate techniques data from our 2015 paper about context-dependent RL, involving factual and counterfactual rewards and punishments. https://t.co/4hHxjW21zQ https://t.co/7EipDaEJHD
Shock Therapy Grass Electric Fences and Life Lessons explores the metaphorical significance of risk and reward, resilience, and shared experiences. The video highlights lessons from childhood experiments with electric…
Explore how to improve exposure therapy by focusing on an inhibitory learning approach, which strengthens the brain's ability to inhibit fear rather than just habituate. Practical strategies include creating expectancy…
RT @StePalminteri: In a first study, we tested if reference point-dependence affects the way outcomes are encoded in human reinforcement le…
In a first study, we tested if reference point-dependence affects the way outcomes are encoded in human reinforcement learning. The behavioural paradigm joins a learning phase with a transfer phase https://t.co/4hHxjW21zQ https://t.co/JSjQ5nz8xZ
RT @mael_lebreton: with @StePalminteri's own little pet obsession(s), namely reinforcement learning (RL) biases – and specifically context-…
with @StePalminteri's own little pet obsession(s), namely reinforcement learning (RL) biases – and specifically context-dependence and confirmatory updating. https://t.co/wJMJ9R1d32 https://t.co/QJLo1uz21j 3/11
First of all, let me start by mentioning that this (value context-dependence in RL) is a topic I have been kind of obsessed with for few years. These are links to papers previously published on similar topics by the team https://t.co/TatsKmkM17 https://t.co/hFuFHwFzRm
In the first paper, we investigated reference-point dependence in a pretty standard task featuring a gain and a loss frame. We found that in loss contexts neutral outcomes are reframed as positive ones. This has both positive and negative effects (https://t.co/4hHxjW21zQ) https://t.co/MasqWC0UmS
I analyzed #fMRI data from a previous #neuroeconomics study by @StePalminteri, Khamassi, Joffily and @GioCoricelli on Contextual modulation of value signals in reward and punishment learning https://t.co/OEIbJNhv3A. 3/
To address these questions Doris re-analysed with uni- and multi-variate techniques data from our 2015 paper about context-dependent RL, involving factual and counterfactual rewards and punishments. https://t.co/4hHxjW21zQ https://t.co/7EipDaEJHD
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