Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal-mediotemporal interactions.
By Jan Peters, Christian Büchel. Neuron, 2010
830 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/6c68006eedd8aeacb37aaae6997d9e4afce2e5cd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- R. Nathan Spreng
- Daniel L. Schacter
- Donna Rose Addis
- Jessica R. Andrews-Hanna
- Demis Hassabis
- Karl Szpunar
- Nathaniel D. Daw
- John A. Clithero
In Experimental and Cognitive Psychology
- Donna Rose Addis
- Daniel L. Schacter
- Karl Szpunar
- Jessica R. Andrews-Hanna
- R. Nathan Spreng
- Demis Hassabis
- Scott A. Huettel
- Antonio Rangel
In General Decision Sciences
- John A. Clithero
- Nathaniel D. Daw
- Scott A. Huettel
- Jessica R. Andrews-Hanna
- Antonio Rangel
- Charlotte Prévost
- Daphna Shohamy
- Terrence J. Sejnowski
Citations in the corpus
- Prospection and the Present Moment: The Role of Episodic Foresight in Intertemporal Choices between Immediate and Delayed Rewards (2016, background): “…a rosy future where promised delayed rewards materialize, are of high quality, and are consumed, then a preference for larger delayed rewards becomes the better decision because patience in this context is more likely to pay off (Benoit et al., 2011; Daniel et al., 2013b; Peters & Büchel, 2010).”
- Optimizing agent behavior over long time scales by transporting value (2018, methodology): “At each time step, the following steps are taken sequentially: (1) Generate the state variable zt with et , ht 1, and mt 1 as input; (2) Update the deep LSTM state with ht 1⁄4 LSTM ðzt;mt 1; ht 1Þ; (3) Construct the read key and read from the external memory; (4) Write the state variable zt to slot ”
- Integrating memories to guide decisions (2015, background): “Instructing human participants to imagine events in the future attenuates the discounting of delayed rewards in an inter-temporal choice task, an effect that is correlated with activation of the hippocampus at decision time [33].”
- The ecology of human fear: survival optimization and the nervous system (2015, background): “Recent studies have shown that thinking about future consequences of one’s decisions can influence current decision-making (Peters and Buchel, 2010) and it is possible that future-oriented survival encoding produces superior memory retrieval for survival-relevant information (Nairne et al., 2007;…”
- The Brain’s Default Network and its Adaptive Role in Internal Mentation (2011, background): “Additionally, episodic future simulation can yield long-term adaptive benefits, including augmenting the subjective value of future rewards (Peters and Büchel 2010) and improving the likelihood of achieving long-term goals (e.g., Gollwitzer and Brandstatter 1997).”
- Episodic Future Thinking: Mechanisms and Functions (2017, background): “Initial fMRI evidence pointed toward a role for the hippocampus in mediating effects of simulation on temporal discounting [68,69,76].”
- Informatic parcellation of the network involved in the computation of subjective value. (2014, background): “Several studies (Peters and Buchel, 2010b; Grabenhorst and Rolls, 2011; Levy and Glimcher, 2012; Liu et al., 2011) also investigate the computation of value, but do not present a comprehensive analysis of the existing literature and focus primarily on the VMPFC.”
- The Future of Memory: Remembering, Imagining, and the Brain (2012, background): “…imagine experiencing a reward in the future, they show an increased tendency to favor reward that produce greater longterm payoffs, thereby countering the normal tendency to devalue delayed reward (Benoit et al., 2011; Peters and Büchel, 2010; for related results, see Mitchell et al., 2011).”
- Prospective Optimization (2014, background): “Episodic future thinking reduces temporal delay discounting, in part by modulating networks involving the hippocampus [76].”
- New Scanner Data for Brand Marketers: How Neuroscience Can Help Better Understand Differences in Brand Preferences (2012, background): “Such mechanistic insights from neuroscience can then be used to map behavioral predictions to other domains, including episodic memory and temporal discounting (Peters & Buchel, 2010), as well as how those generalizations vary across individuals.”